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1
Huang, Xinyan. "A Data-Driven WSN Security Threat Analysis Model Based on Cognitive Computing." Journal of Sensors 2022 (January 27, 2022): 1–10. http://dx.doi.org/10.1155/2022/5013905.
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In this paper, we use cognitive computing to build a WSN security threat analysis model using a data-driven approach and conduct an in-depth and systematic study. In this paper, we develop a simulation platform (OMNeT++-based WSN Security Protocol Simulation Platform (WSPSim)) based on OMNeT++ to make up for the shortcomings of current WSN simulation platforms, improve the simulation capability of WSN security protocols, and provide a new technical means for designing and verifying security protocols. The WSPSim simulation platform is used to simulate and analyze typical WSN protocols and verify the effectiveness of the platform. In this paper, we mainly analyze the node malicious behavior by listening and judging the communication behavior of the nodes, and the current trust assessment is given by the security management nodes. When the security management node is rotated, its stored trust value is used as historical trust assessment and current trust assessment together to participate in the integrated trust value calculation, which improves the reliability of node trust assessment; to increase the security and reliability of the management node, a trust value factor and residual energy factor are introduced in the security management node election in the paper. According to the time of management node election, the weights of both are changed to optimize the election. Using the WSPSim simulation platform, a typical WSN protocol is simulated and analyzed to verify the effectiveness of the platform. In this paper, the simulation results of the LEACH protocol with an MD5 hash algorithm and trust evaluation mechanism and typical LEACH protocol as simulation samples are compared; i.e., the correctness of the simulation platform is verified, and it is shown that improving the security of the protocol and enhancing the security and energy efficiency of wireless sensor networks provide an effective solution.
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Sharma, Shweta, and Amandeep Kaur. "Simulation of Cloud Platform Supporting Wireless Sensor Network." Journal of Computational and Theoretical Nanoscience 17, no. 6 (2020): 2613–20. http://dx.doi.org/10.1166/jctn.2020.8955.
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WSN has been an area of interest for a lot of researchers as well as the industry specialist due to its high usage in healthcare, military applications and in robotics. The focus area of WSN has been energy consumption. Integration of Cloud Computing in WSN has been observed by couple of research scholars as Cloud has been observed to be struggling against the power management issue. This paper presents a novel solution of power management in Cloud computing which uses the concept of clustering borrowed from WSN. The jobs are grouped or Clustered as per the algorithmic architecture of WSN and the minimization of migration is attempted using Genetic Algorithm (GA). Artificial Neural Network (ANN) is used as a conjunction to GA for energy efficiency. MATLAB is used as a simulation tool and consumed energy has been evaluated as the major evaluation parameter.
3
Wang, Erli, Pingping Yi, Huafa Qin, et al. "Teaching Reform of WSN Laboratory Class based on a Virtual Simulation Platform." Journal of Education and Educational Research 5, no. 3 (2023): 166–71. http://dx.doi.org/10.54097/jeer.v5i3.13691.
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Wireless Sensor Networks (WSNs) are considered as one of the most rapidly developing technologies in recent years. The WSN course, as a core curriculum of the Internet of Things (IoT) major, also plays an important role in higher education teachings. However, the inadequate facilities, equipment and spaces have been main constraints of universities’ WSN laboratory classes. In this paper, we designed a specific situation and scene for smart home, one of the commonly used applications of WSN, and developed a Virtual Simulation Experimental Platform (VSEP) based on Unity 3D engine, aiming to enhance students’ learning interest and improve their practical skills. In particular, we firstly analyzed the current limitations in WSN experimental teachings, with design concepts and objectives and experiment teaching content of VSEP introduced thereafter. In addition, we discussed systems architecture and functions design, and experimental methods and steps. Finally, an anonymous survey was utilized to examine the teaching reform result. The study showed that most students have found the virtual platform helped them understand the theoretical concepts and experimental processes better, and is an effective way to learn the course.
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Veronica, Windha Mahyastuty, Iskandar, Hendrawan, and Sigit Arifianto M. "Wireless Sensor Network over High Altitude Platform." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 1 (2018): 129–33. https://doi.org/10.12928/TELKOMNIKA.v16i1.8391.
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One of Machine Type Communication (MTC) applications is Wireless Sensor Network (WSN). WSN is an intelligent network application system to collect, integrate, and transmit data autonomously. Sensor nodes in WSN, communicate over short distance via a wireless medium and collaborate to accomplish a common task, such as enviroment monitoring, military surveillance and industrial process control. The constraining aspect of WSN usage is the limited power of each sensor node, so energy efficiency becomes an important issue in WSN. Routing is a function in WSN, which consumes a substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, High Altitude Platform (HAP) is used to replace Base Station (BS) as sink node in WSN. HAP is designed at altitudes of 17, 20 and 22 km. Then WSN over HAP using the LEACH routing protocol evaluated its performance. Performance indicators that we evaluated are engergy consumption, number of dead nodes and total average packets which is sent to HAP. From a series of simulations conducted, the results obtained that the higher the laying of HAP, then the coverage area will be greater. So that the energy consumption will be smaller, the number of dead node less and the avarage of total packet delivered to the HAP will be greater.
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Liu, Zheng Gang, Hong Wei Ding, Jia Long Xiong, Qian Lin Liu, and Xiao Hui Ma. "FPGA-Based Design of P-Detection 1-Persistent CSMA Control System." Applied Mechanics and Materials 602-605 (August 2014): 933–36. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.933.
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In this paper, we propose P-detection and 1-Persistent CSMA/CA protocol. Using average cycle method, we established the mathematical model of the protocol. Through derivation, we obtain the throughput expression of this protocol. Simulation results show that this protocol improves the throughput and it is effective to enhance the system performance. Using this protocol, we completed the FPGA design of communication control system in WSN. The product passed waveform simulation and it is downloaded to the DB2 platform. Test results confirm the throughput of system has been increased, achieving the improvement of communication protocol for WSN.
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Abdurohman, Maman. "Improving Reliability of Wireless Sensor Network (WSN) Using Network Coding Multipath Routing." ComTech: Computer, Mathematics and Engineering Applications 8, no. 3 (2017): 121. http://dx.doi.org/10.21512/comtech.v8i3.3876.
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This research proposed new method to improve performance of WSN. It used network coding on transmission scheme. The researcher had modified the existing network coding multipath routing for a novel node selection to own residual power node in network coding routing mechanism and to improve reliability of a WSN. This routing mechanism was placed in router for routing purpose. Then, Software network simulation method was done by using OMNET++ platform and MiXiM Framework library. The result shows that proposed method to select nodes and execute network coding succeeds on improving performance of WSN like the reliability compared to the previous method.
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Shang, Yuan Yuan, Zhou Wan, Xue Hua Zhang, Zhong Guo Jing, and Xin Xiong. "The Research of WSN Time Synchronization Algorithm Based on Clustering Network." Applied Mechanics and Materials 157-158 (February 2012): 1340–45. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.1340.
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In order to solve time synchronization problem of wireless sensor network, combined with the broadcast characteristics of wireless transmission and bi-directional message mechanism and the characteristics of clustering network, this paper presents an improved time synchronization algorithm HLTN based on clustering network and the simulation experiment by NS-2 simulation platform and analyzed the results.
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Nasir, Adnan, and Boon Hee Soong. "A Simulation Platform for Evaluating RFID and WSN’s Energy Efficiencies." Journal of Communications Software and Systems 9, no. 3 (2013): 184. http://dx.doi.org/10.24138/jcomss.v9i3.148.
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Advances in the wireless, RFID and sensor technologies has given rise to a plethora of diverse WSN motes that can be used in association with numerous applications. Experimenting with new MAC algorithms and various functionalities on a real sensor network to obtain energy efficiency is both time consuming and expensive especially when these different mote platforms are deployed in one application. Generally Simulators are used to approximate the performance of MAC protocols. Out of the numerous simulators available, none can simulate the energy efficiencies given different types of motes and environments in one application. Hence, the need of a simulation platform for a mix deployment of different types of WSNs and RFIDs is felt to access application performance requirements while curtailing energy consumption to enhance application lifetime. In this paper, we presents an extension of our effort EnergySim [1], which is a simulation platform developed dedicatedly for evaluating energy efficiencies. In this paper we have discussed the simulation modes, methodology and architecture of our proposed simulator with some future extensions presented at the end of the paper.
9
Wang, Qing Hui, Lei Chang, Wen Zhou Wang, and Jiao Li. "Visual Simulation of Node Localization for WSN Based on Vega Prime." Advanced Materials Research 756-759 (September 2013): 2360–64. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2360.
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Visual simulation can simulate a variety of situations of actual scene in real-time through the establishment of the virtual scene similar to a real scene. This paper studies on the node localization system for WSN (Wireless Sensor Network). In order to be able to observe the specific information of the node location for the wireless sensor network visually, we can construct scene model and texture process by Creator, then use Vega Prime to develop the visual simulation of node localization for wireless sensor network in the VS2005 platform, and demonstrate the node localization for wireless sensor network in real time and realistically.
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Amar, Esse, Abdullah Khaizuran, Hadi Habaebi Mohamed, Adibah Mohd Ramli Huda, Liza Asnawi Ani, and Rafiqul Islam Md. "Dynamic power allocation and scheduling for MIMO RF energy harvesting wireless sensor platforms." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 19, no. 5 (2021): 1466–74. https://doi.org/10.12928/telkomnika.v19i5.20413.
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Radio frequency (RF) energy harvesting systems are enabling new evolution towards charging low energy wireless devices, especially wireless sensor networks (WSN). This evolution is sparked by the development of low-energy micro-controller units (MCU). This article presents a practical multiple input multiple output (MIMO) RF energy-harvesting platform for WSN. The RF energy is sourced from a dedicated access point (AP). The sensor node is equipped with multiple antennas with diverse frequency responses. Moreover, the platform allows for simultaneous information and energy transfer without sacrificing system duplexity, unlike time-switching RF harvesting systems where data is transmitted only for a portion of the total transmission duty cycle, or power-splitting systems where the power difference between the information signal (IS) and energy signal (ES) is neglected. The proposed platform addresses the gap between those two. Furthermore, system simulation and two energy scheduling methods between AP and sensor node (SN) are presented, namely, Continuous power stream (CPS) and intermittent power stream (IPS).
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Hanif, Shaza, Ahmed Khedr, Zaher Al Aghbari, and Dharma Agrawal. "Opportunistically Exploiting Internet of Things for Wireless Sensor Network Routing in Smart Cities." Journal of Sensor and Actuator Networks 7, no. 4 (2018): 46. http://dx.doi.org/10.3390/jsan7040046.
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With the emergence of Internet of Things (IoT), the research on Smart Cities with wireless sensor networks (WSNs) got leveraged due to similarities between objectives in both Smart City and IoT. Along with them, research in controlling WSN faces new challenges and opportunities for data aggregation and routing has received consistent focus from researchers. Yet new techniques are being proposed to address modern challenges in WSN and efficient resource utilization. Moreover, solutions are required to integrate existing deployed WSN with ever increasing numbers of IoT devices in Smart Cities, that benefit both. In this work, we present an approach for routing in a WSN, in which IoT is used opportunistically to reduce the communication overhead of the sensors. In our approach, WSN deployed in a Smart City interacts with the IoT devices to route the data to the sink. We build a prototype Integration Platform for the WSN that allows interaction with IoT devices and utilizes them opportunistically that results in an energy efficient routing of data. Simulation results show that the direction is quite promising and our approach offers to utilize IoT to gain unique advantages.
12
Bi, Zhuming, Guoping Wang, and Li Da Xu. "A visualization platform for internet of things in manufacturing applications." Internet Research 26, no. 2 (2016): 377–401. http://dx.doi.org/10.1108/intr-02-2014-0043.
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Purpose – The purpose of this paper is to present a visualization platform to control and monitor wireless sensor networks (WSNs) in manufacturing applications. Design/methodology/approach – To make the platform flexible and versatile, a modular framework is adopted in modeling and visualizing WSNs. The Eclipse programming environment is used to maximize the scalability and adaptability of the platform. A set of the core functional modules have been designed and implemented to support the system operation. The platform is validated through a case study simulation. Findings – The platform is capable of accommodating different operating systems such as Windows and Linux. It allows integrating new plug-ins developed in various languages such as Java, C, C++, and Matlab. The Graphic User Interface has been applied to process and visualize the acquired real-time data from a WSN, and the embodied methodologies can be used to predict the behaviors of objects in the network. Research limitations/implications – The work has shown the feasibility and potential of the proposed platform in improving the real-time performance of WSN. However, the number of the developed functional modules is limited, and additional effort is required to develop sophisticated functional modules or sub-systems for a customized application. Practical implications – The platform can be applied to monitor and visualize various WSN applications in manufacturing environments such as automated workcells, transportation systems, logistic, and storage systems. Originality/value – The work is motivated by the scarce research on the development tools for monitoring and visualization of WSNs in manufacturing applications. The proposed platform serves for both of system developers and users. It is modularized with a set of core functional modules; it can be extended to accommodate new functional modules with a minimal effort for a different application.
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Li, Runzhi, Jian Wang, and Jiongyi Chen. "Movable Platform-Based Topology Detection for a Geographic Routing Wireless Sensor Network." Sensors 20, no. 13 (2020): 3726. http://dx.doi.org/10.3390/s20133726.
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With the increasing adoption of the Internet-of-Things (IoT), the wireless sensors network (WSN), as an underlying application of IoT, has attracted increasing attention. Topology, the working structure used to observe WSN, is the most instinctive form in troubleshooting and has great significance to WSN management and safety. To this end, it is imperative to recover WSN topology for the purpose of network management and non-cooperative network detection. Traditional network topology recovery mainly relies on the monitoring modules installed in nodes, or an extra network attached. However, these two approaches have several limitations, such as high energy consumption for monitoring nodes, time synchronization problems, reuse failure, limitation to specific targeted networks and high cost. In this paper, we present a new approach to recover the topology of WSN that adopts location-based routing protocols, based on movable platforms. Our observation is that the network topology is consistent with the node routing, as the nodes choose the next hop according to the geological position of neighbor nodes. Hence, we calculate the cost parameters of choosing routing nodes for the targeted network according to the partial connection of the nodes. Based on those cost parameters, we can determine the topology of the whole network. More specifically, by collecting the geological position and data packets of the nodes from movable platforms, we are able to infer the topology of the WSN according to the recovered partial connection of nodes. Our approach can be easily adopted to many scenarios, especially for non-cooperative large-scale networks. The evaluation of 30 simulations shows that the accuracy of recovery is above 90%.
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Zhang, Runtong, Fuzhi Chu, Quan Yuan, and Wei Dai. "A Study on an Energy Conservation and Interconnection Scheme between WSN and Internet Based on the 6LoWPAN." Mobile Information Systems 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/592613.
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Wireless sensor network (WSN), which has broad application prospects, consists of small nodes with sensing, computation, and communications capabilities. IPv6 is used over low power WPAN (wireless personal area network) which is run by 6LoWPAN technology on the LoWPAN devices. In order to establish seamless connection of two heterogeneous networks, that is, WSN and IPv6 network, this paper proposes an improved energy conservation and interconnection scheme (ECIS) based on the analysis of the current schemes. Detailed design of each functional component in the new scheme is proposed, and an expansion of the SSCS module in NS2 802.15.4 simulator is examined. Comprehensive experiments on the simulation platform show that the newly proposed scheme is advantageous over existing results.
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Manjunath, B. E., and V. Rao P. "Balancing Trade-off between Data Security and Energy Model for Wireless Sensor Network." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 1048–55. https://doi.org/10.11591/ijece.v8i2.pp1048-1055.
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An extensive effort to evolve various routing protocol to ensure optimal data delivery in energy efficient way is beneficial only if there is additional means of security process is synchronized. However, the security process consideration introduces additional overhead thus a security mechanism is needed to accomplish an optimal trade-off that exists in-between security as well as resource utilization especially energy. The prime purpose of this paper is to develop a process of security in the context of wireless sensor networks (WSN) by introducing two types of sensor node deployed with different capabilities. The proposed algorithm Novel Model of Secure Paradigm (N-MSP) which is further integrated with WSN. However, this algorithm uses a Hash-based Message Authentication Code (HMAC) authentication followed by pairwise key establishment during data aggregation process in a WSN. The extensive simulation carried out in a numerical platform called MATLAB that depicts that the proposed N-MSP achieves optimal processing time along with energy efficient pairwise key establishment during data aggregation process.
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Denegri, Livio, Sandro Zappatore, and Franco Davoli. "Sensor Network-Based Localization for Continuous Tracking Applications: Implementation and Performance Evaluation." Advances in Multimedia 2008 (2008): 1–11. http://dx.doi.org/10.1155/2008/569848.
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The increasing interest in systems able to provide users with immersive services (e.g., domotics, context-aware applications, and immersive distance learning tools) has encouraged the development of cheap and effective platforms aimed at tracking objects and people within a certain space. In this context, wireless sensor networks (WSNs) can play a very important role, since specialized sensors can be fruitfully exploited in order to generate/receive signals by means of which the WSN can derive the position of nodes joined to the objects to be tracked. The paper presents an original localization platform that exploits a single-hop WSN, based on a Microchip MCU and a Cypress RF device, to track its moving nodes. Specifically, the nodes of the network are divided into three sets: the first set consists of anchor nodes that, according to the commands from the sink (the central node of the WSN), generate ultrasonic pulses. These pulses are received by the second set of (moving) nodes, which estimate the pulse time trip and communicate it to the sink. Finally, the last set is constituted by general purpose nodes that collect any kind of data from the surrounding field. The sink gathers all the data, computes the position of moving nodes, and transfers information to external users on the Internet. The algorithms adopted to manage the network and to localize moving nodes are discussed. A working prototype based upon the hardware platform, software, and protocol described in this paper has been deployed and tested, and some results are shown. Simulation results of the localization system are presented to show system scalability.
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Ghaidaa Mohammad Esber, Mothanna Alkubeily, Samer Sulaiman, Ghaidaa Mohammad Esber, Mothanna Alkubeily, Samer Sulaiman. "Designing a Virtual Platform for Modeling Nodes in Wireless Sensor Networks at the Central Processing Unit Level: تصميم منصة برمجية افتراضية لنمذجة العقد ضمن شبكات الحساسات اللاسلكية على مستوى وحدة المعالجة المركزية". Journal of engineering sciences and information technology 5, № 5 (2021): 29–1. http://dx.doi.org/10.26389/ajsrp.e120621.
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Wireless sensor network simulation programs provide representation for an actual system, without needing to deploy real testbed which is highly constrained by the available budget, and the direct operations inside physical layer in most of these programs are hidden and work implicitly. This is what motivated us to build a kernel for a virtual simulation platform to be able to simulate protocol operations and algorithms at the node processing unit level, The proposed system aims to observe the execution of operations at the low level of the wireless sensor physical infrastructure with the ability to modify at this level. That give the improvers of wireless sensor nodes the ability to test their ideas without needing to use physical environment. We have built the functionality operations which are related to the platform kernel at several stages. We defined (as a first step) the essential operations inside a virtual microprocessor that uses a partial set pf MIPS instructions, and built the kernel of minimized virtual WSN simulator depending on the proposed microprocessor, that means we can add any number of nodes inside the GUI of the WSN simulator kernel, and these nodes use the proposed virtual microprocessor . Then we improved this platform by adding the instruction set of a real microprocessor that is used in wireless sensor network nodes. Finally, (and to ease and simplify the interaction operation between program GUI of the platform kernel and the user), we have built simplified compiler that allows user to deal with microprocessor GUI inside each node, and to clarify protocol and algorithm operations by a set of orders and functions without needing to deal with low level language (Assembly language) in a direct way. The simulation results have presented high flexibility and performance to this platform in observing the operation sequence inside wireless sensor nodes at assembly level, in addition to focus on some parameters that are related to microprocessor inside each node.
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Ranjan, Alok, H. B. Sahu, and Prasant Misra. "Wireless Sensor Networks." International Journal of Applied Evolutionary Computation 7, no. 4 (2016): 1–27. http://dx.doi.org/10.4018/ijaec.2016100101.
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With continuous advancements in sensor technology, wireless communications, modern network architectures and electronics; it is now feasible to fulfill the requirements of underground mines using wireless sensor network (WSN). At present, coal mining industries have the option of choosing a communication and tracking systems based on their requirement and budget. WSN has the advantage of support for wireless architecture which may fit for mining industries. There is limited literature available, which discuss the different features and associated challenges to WSNs in underground mines. However, in this paper, WSN has been targeted as a feasible solution for the underground mining industries, and emphasis has been given on integration of comprehensive concepts. The objective of this survey paper is to present a platform such that it is not only beneficial for beginners who want to pursue research in this area, but also target current researchers developing solutions for such confined and hostile environments. Furthermore, the application of WSN for underground mines has been categorized followed by real, and simulation-based studies and the significant implications for wireless communications and monitoring systems in the underground mines have been discussed in details.
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Nourildean, Shayma W., Yousra A. Mohammed, and May T. Abdulhadi. "Investigating the impact of network topologies on the iot-based wsn in smart home monitoring system." Eastern-European Journal of Enterprise Technologies 6, no. 9 (120) (2022): 6–14. http://dx.doi.org/10.15587/1729-4061.2022.266990.
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The object of this research is to present IoT WSN-based smart home monitoring system, which allows users to monitor and manage all of their appliances and home equipment via the Internet using established protocols. IoT is described as the connection of equipment and appliances to the Internet in order to monitor, report, and perform certain tasks. Wireless Sensor Networks (WSN) are considered as a key component in the IoT model's implementation. This research presented the IoT WSN platform using Riverbed Modeler Simulation Program in order to examine the network performance for different Wireless Sensor topologies (Star, Tree and Mesh). This platform consists of a number of scenarios with a number of sensors in each scenario. Each sensor is represented by the ZigBee end device, which sensed and collected data about the smart home and sent the collected data to the controller, which is represented by the ZigBee coordinator. The controller sends the data to the server to be monitored by the users through any gateway (Wi-Fi) after logging in using a specific application with three routing topologies on the controller. The results showed that IoT WSN tree topology is the best topology if the throughput is considered for improvement at the expense of data dropped with acceptable delay. Star topology improves the network performance in terms of data dropped and throughput when the number of sensors was increased. Mesh topology achieved the smallest data dropped with low throughput. Due to their features, these results were effective because they indicated that the selection of suitable routing topology played an important role in improving the degradation of IoT WSN performance due to the interference of Wi-Fi and ZigBee network since they utilized the same frequency band (2.4 GHz).
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Shayma, W. Nourildean, A. Mohammed Yousra, and T. Abdulhadi May. "Investigating the impact of network topologies on the iot-based wsn in smart home monitoring system." Eastern-European Journal of Enterprise Technologies 6, no. 9 (120) (2022): 6–14. https://doi.org/10.15587/1729-4061.2022.266990.
Full textAbstract:
The object of this research is to present IoT WSN-based smart home monitoring system, which allows users to monitor and manage all of their appliances and home equipment via the Internet using established protocols. IoT is described as the connection of equipment and appliances to the Internet in order to monitor, report, and perform certain tasks. Wireless Sensor Networks (WSN) are considered as a key component in the IoT model's implementation. This research presented the IoT WSN platform using Riverbed Modeler Simulation Program in order to examine the network performance for different Wireless Sensor topologies (Star, Tree and Mesh). This platform consists of a number of scenarios with a number of sensors in each scenario. Each sensor is represented by the ZigBee end device, which sensed and collected data about the smart home and sent the collected data to the controller, which is represented by the ZigBee coordinator. The controller sends the data to the server to be monitored by the users through any gateway (Wi-Fi) after logging in using a specific application with three routing topologies on the controller. The results showed that IoT WSN tree topology is the best topology if the throughput is considered for improvement at the expense of data dropped with acceptable delay. Star topology improves the network performance in terms of data dropped and throughput when the number of sensors was increased. Mesh topology achieved the smallest data dropped with low throughput. Due to their features, these results were effective because they indicated that the selection of suitable routing topology played an important role in improving the degradation of IoT WSN performance due to the interference of Wi-Fi and ZigBee network since they utilized the same frequency band (2.4 GHz).
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Ameen, Nabeena, Najumnissa Jamal, and L. Arun Raj. "Comparative analysis of energy based optimized dynamic source multipath routing protocol in WSNs." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 441. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp441-455.
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<p>Wireless Sensor Network (WSN) has been considered to be a formula for overcoming various requirements like surveillance, health care, traffic surveillance and defense systems. As an aid to the demands for Wireless sensor network, research has been going on the efficient consumption of energy and secure communication areas for WSN. Here introducing Ant colony optimization based Optimized dynamic Secure multipath routing protocol (ODMRP) have improvised WSN in terms of energy efficiency, performance, strength and scalability. This paper proposed mechanism of Ant Colony Optimization based on the optimized dynamic secure multipath routing protocol (ODMRP-ACO) for data transmission in the WSNs. This eases the data transmission via WSNs. The shortest path between the source node and the destination node is analyzed by the ant colony cooperation which is based on the ACO. There are several routing protocols like Energy-aware and Secure Routing with Trust (ESRT-ACO), Split multipath routing protocol-Ant colony Optimization (SMR-ACO), Light Weight Trust Based routing protocol (TLB-AODV) and AODV routing protocols that are built with the ACO based Routing Protocol. They are concerned over the End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. The data analytic results have proven to be effective compared to the other routing protocols designed for WSN. This is because; the overall ODMRP-ACO was calculated to be 96.98% better than the other existing. For the newly developed ODMRP-ACO protocol, the simulation platform used is NS2 simulation software.</p>
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E., Manjunath B., and P. V. Rao. "Balancing Trade-off between Data Security and Energy Model for Wireless Sensor Network." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (2018): 1048. http://dx.doi.org/10.11591/ijece.v8i2.pp1048-1055.
Full textAbstract:
<p>An extensive effort to evolve various routing protocol to ensure optimal data delivery in energy efficient way is beneficial only if there is additional means of security process is synchronized. However, the security process consideration introduces additional overhead thus a security mechanism is needed to accomplish an optimal trade-off that exists in-between security as well as resource utilization especially energy. The prime purpose of this paper is to develop a process of security in the context of wireless sensor networks (WSN) by introducing two types of sensor node deployed with different capabilities. The proposed algorithm Novel Model of Secure Paradigm (N-MSP) which is further integrated with WSN. However, this algorithm uses a Hash-based Message Authentication Code (HMAC) authentication followed by pairwise key establishment during data aggregation process in a WSN. The extensive simulation carried out in a numerical platform called MATLAB that depicts that the proposed N-MSP achieves optimal processing time along with energy efficient pairwise key establishment during data aggregation process</p>
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Cheng, Qin, Lin Zhang, Yang Yu, and Lingjiao Pan. "Platform Design of Passive Target Perception and Localization Based on Sensor Networks." Journal of Sensors 2024 (April 2, 2024): 1–7. http://dx.doi.org/10.1155/2024/1315785.
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With the rapid development, extensive knowledge, and diverse application scenarios of target perception and positioning technology in sensor networks, a passive target perception and localization platform based on Wireless Sensor Networks (WSN) has been designed. The platform is mainly applied for the teaching of electronic information, communication, and Internet of Things (IoT) engineering. The platform follows the teaching concept of “developing students’ ability to solve complex engineering problems” in the emerging engineering discipline and combines experimental simulation with real-world testing, as well as integrating scientific research and teaching. It encompasses technical elements such as perception and localization theory, sparse representation classification modeling, solving underdetermined equations, data analysis, and sparse coding, as well as nontechnical aspects such as team collaboration and cost budgeting. The platform boasts high fidelity and scalability, providing students with the opportunity to develop comprehensive practical and innovative skills in solving complex engineering problems.
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Pazikadin, Abdul Rahim, Damhuji Rifai, Kharudin Ali, Nor Hana Mamat, and Noraznafulsima Khamsah. "Design and Implementation of Fuzzy Compensation Scheme for Temperature and Solar Irradiance Wireless Sensor Network (WSN) on Solar Photovoltaic (PV) System." Sensors 20, no. 23 (2020): 6744. http://dx.doi.org/10.3390/s20236744.
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Photovoltaic (PV) systems need measurements of incident solar irradiance and PV surface temperature for performance analysis and monitoring purposes. Ground-based network sensor measurement is preferred in many near real-time operations such as forecasting and photovoltaic (PV) performance evaluation on the ground. Hence, this study proposed a Fuzzy compensation scheme for temperature and solar irradiance wireless sensor network (WSN) measurement on stand-alone solar photovoltaic (PV) system to improve the sensor measurement. The WSN installation through an Internet of Things (IoT) platform for solar irradiance and PV surface temperature measurement was fabricated. The simulation for the solar irradiance Fuzzy Logic compensation (SIFLC) scheme and Temperature Fuzzy Logic compensation (TFLC) scheme was conducted using Matlab/Simulink. The simulation result identified that the scheme was used to compensate for the error temperature and solar irradiance sensor measurements over a variation temperature and solar irradiance range from 20 to 60 °C and from zero up to 2000 W/m2. The experimental results show that the Fuzzy Logic compensation scheme can reduce the sensor measurement error up to 17% and 20% for solar irradiance and PV temperature measurement.
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Mahyastuty, Veronica Windha, Iskandar Iskandar, Hendrawan Hendrawan, and Mohammad Sigit Arifianto. "Medium Access Control Protocol for High Altitude Platform Based Massive Machine Type Communication." Journal of ICT Research and Applications 16, no. 2 (2022): 123–37. http://dx.doi.org/10.5614/itbj.ict.res.appl.2022.16.2.2.
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Massive Machine Type Communication (mMTC) can be used to connect a large number of sensors over a wide coverage area. One of the places where mMTC can be applied is in wireless sensor networks (WSNs). A WSN consists of several sensor nodes that send their sensing information to the cluster head (CH), which can then be forwarded to a high altitude platform (HAP) station. Sensing information can be sent by the sensor nodes at the same time through the same medium, which means collision can occur. When this happens, the sensor node must re-send the sensing information, which causes energy wastage in the WSN. In this paper, we propose a Medium Access Control (MAC) protocol to control access from several sensor nodes during data transmission to avoid collision. The sensor nodes send Round Robin, Interrupt and Query data every eight hours. The initial slot for transmission of the Round Robin data can be either randomized or reserved. Analysis performance was done to see the efficiency of the network with the proposed MAC protocol. Based on the series of simulations that was conducted, the proposed MAC protocol can support a WSN system-based HAP for monitoring every eight hours. The proposed MAC protocol with an initial slot that is reserved for transmission of Round Robin data has greater network efficiency than a randomized slot.
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A. Hussien, Anas, Mehdi J. Marie, and Khalaf S. Gaeid. "Effect of fuzzy PID controller on feedback control systems based on wireless sensor network." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2416. http://dx.doi.org/10.11591/ijece.v10i3.pp2416-2425.
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Wireless Networked control system (WNCS) has an important in all aspects of the life and in the research fields of Engineering. In this article, a real-time implementation of the wireless feedback control system (WFCS) is performed. The stability issue in the closed-loop control system still suffer from noise, disturbances, and need careful considerations to handle it. Three cases to discover the ability of a Fuzzy PID controller to maintain better angular position control system (PCS) is addressed and controlled by a personal computer through a wireless sensor network(WSN) constructed by ZigBee platforms. The practical issues related with the design and implementation of the wireless computerized control system (WCCS) is discussed and analyzed. The simulation results carried out with Matlab/Simulink 2018b. Different parameters effect such as maximum overshoot, sampling frequency, distance and delay time have been studied. These effects on overall system performance would be discussed. Improving the efficient use of ZigBee platform for WFCS. The simulation and experimental results prove the proposed algorithm in the field of wireless control system.
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Anas, A. Hussien, J. Marie Mehdi, and S. Gaeid Khalaf. "Effect of fuzzy PID controller on feedback control systems based on wireless sensor network." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (2020): 2416–25. https://doi.org/10.11591/ijece.v10i3.pp2416-2425.
Full textAbstract:
Wireless Networked control system (WNCS) has an important in all aspects of the life and in the research fields of Engineering. In this article, a real-time implementation of the wireless feedback control system (WFCS) is performed. The stability issue in the closed-loop control system still suffer from noise, disturbances, and need careful considerations to handle it. Three cases to discover the ability of a Fuzzy PID controller to maintain better angular position control system (PCS) is addressed and controlled by a personal computer through a wireless sensor network(WSN) constructed by ZigBee platforms. The practical issues related with the design and implementation of the wireless computerized control system (WCCS) is discussed and analyzed. The simulation results carried out with Matlab/ Simulink 2018b. Different parameters effect such as maximum overshoot, sampling frequency, distance and delay time have been studied. These effects on overall system performance would be discussed. Improving the efficient use of ZigBee platform for WFCS. The simulation and experimental results prove the proposed algorithm in the field of wireless control system.
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Ha, Namhoon, Han-Seung Lee, and Songjun Lee. "Development of a Wireless Corrosion Detection System for Steel-Framed Structures Using Pulsed Eddy Currents." Sensors 21, no. 24 (2021): 8199. http://dx.doi.org/10.3390/s21248199.
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Structural health monitoring (SHM) can be more efficient with the application of a wireless sensor network (WSN). However, the hardware that makes up this system should have sufficient performance to sample the data collected from the sensor in real-time situations. High-performance hardware can be used for this purpose, but is not suitable in this application because of its relatively high power consumption, high cost, large size, and so on. In this paper, an optimal remote monitoring system platform for SHM is proposed based on pulsed eddy current (PEC) that is utilized for measuring the corrosion of a steel-framed construction. A circuit to delay the PEC response based on the resistance–inductance–capacitance (RLC) combination was designed for data sampling to utilize the conventional hardware of WSN for SHM, and this approach was verified by simulations and experiments. Especially, the importance of configuring sensing modules and the WSN for remote monitoring were studied, and the PEC responses caused by the corrosion of a specimen made with steel were able to be sampled remotely using the proposed system. Therefore, we present a remote SHM system platform for diagnosing the corrosion condition of a building with a steel structure, and proving its viability with experiments.
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Zhao, Huiyan, Haijun Wang, Shutong Jin, and Zitong He. "Evolutionary Game and Simulation Analysis of Collaborative Innovation Mechanisms of Industrial Internet Platform-Based Ecosystem." Sustainability 15, no. 6 (2023): 4884. http://dx.doi.org/10.3390/su15064884.
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Digital platforms are transforming almost every industry today. To gain insight into the innovation mechanism of the industrial Internet platform-based ecosystem, combining its nature of sustainability, this paper investigates strategic factors, such as the intensity of platform governance, the eco-efficiency of cooperation, and the input costs of complementors. A platform ecological system game model comprised of the industrial Internet platform enterprise, industry chain complementors, and innovation chain complementors is then established. The results of game playing and simulation highlight four important facts as revealed by a Chinese COSMOPlat case. First, there are four evolutionary paths for collaborative relations among innovation entities in an ecosystem. Second, platform enterprise may utilize various strategies in the several stages of ecosystem evolution. Third, complementors in the industrial chain and innovation chain have different degrees of dependence on platform enterprise and distinct incentive factors. Finally, investment of platform enterprise in data security drives the construction and upgrading of the ecosystem. In this context, collaborative innovation in platform ecosystems is associated with a self-evolving, self-growing, self-driven, and sustainable cooperation and win–win mechanism. This study provides new ideas for the governance of the industrial Internet platform-based ecosystem.
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Sengodan, Boopathi Chettiagounder, Prince Mary Stanislaus, Sivakumar Sabapathy Arumugam, et al. "Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors." Sensors 24, no. 17 (2024): 5630. http://dx.doi.org/10.3390/s24175630.
Full textAbstract:
Wireless sensor networks (WSNs) are structured for monitoring an area with distributed sensors and built-in batteries. However, most of their battery energy is consumed during the data transmission process. In recent years, several methodologies, like routing optimization, topology control, and sleep scheduling algorithms, have been introduced to improve the energy efficiency of WSNs. This study introduces a novel method based on a deep learning approach that utilizes variational autoencoders (VAEs) to improve the energy efficiency of WSNs by compressing transmission data. The VAE approach is customized in this work for compressing WSN data by retaining its important features. This is achieved by analyzing the statistical structure of the sensor data rather than providing a fixed-size latent representation. The performance of the proposed model is verified using a MATLAB simulation platform, integrating a pre-trained variational autoencoder model with openly available wireless sensor data. The performance of the proposed model is found to be satisfactory in comparison to traditional methods, like the compressed sensing technique, lightweight temporal compression, and the autoencoder, in terms of having an average compression rate of 1.5572. The WSN simulation also indicates that the VAE-incorporated architecture attains a maximum network lifetime of 1491 s and suggests that VAE could be used for compression-based transmission using WSNs, as its reconstruction rate is 0.9902, which is better than results from all the other techniques.
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Nada, N. Tawfeeq, J. Marie Mehdi, and S. Gaeid Khalaf. "Computer control of teaching enhancement by communication networked." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 2 (2020): 736–44. https://doi.org/10.11591/ijeecs.v18.i2.pp736-744.
Full textAbstract:
Enhancement of teaching and education is crucial. This enhancement is rapidly improved through combining communication and technology resulting in various benefits (particularly the wireless Technologies (WT)). Such combination encourages lecturers to meet the worldwide demand for changing traditional teaching techniques to technology-based methods. Wireless system networks (WSNs) represent systems of smart devices that are linked wirelessly. In addition, these devices are characterized by having a bandwidth of bounded communication, abilities of sensing and computation. For performing operations of control, this system employs a Flywheel Position Control System (FW PCS) as a plant node. This study utilizes the True Time 1.5 MATLAB/Simulink platform for simulating and implementing the WSN mathematical model with wireless networks. The simulation is carried out between plant nodes and controller using the IEEE 802.15.4 standard (also called ZigBee) via protocols of Wi-Fi. The suggested E-learning model comprises a set of properties that can encourage and enhance the level of students in various learning purposes and stages.
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Lopez-Iturri, Peio, Mikel Celaya-Echarri, Leyre Azpilicueta, et al. "Integration of Autonomous Wireless Sensor Networks in Academic School Gardens." Sensors 18, no. 11 (2018): 3621. http://dx.doi.org/10.3390/s18113621.
Full textAbstract:
In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean’s energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.
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Reshma, V. K., Ihtiram Raza Khan, M. Niranjanamurthy, et al. "Hybrid Block-Based Lightweight Machine Learning-Based Predictive Models for Quality Preserving in the Internet of Things- (IoT-) Based Medical Images with Diagnostic Applications." Computational Intelligence and Neuroscience 2022 (April 12, 2022): 1–14. http://dx.doi.org/10.1155/2022/8173372.
Full textAbstract:
In the contemporary era of unprecedented innovations such as the Internet of Things (IoT), modern applications cannot be imagined without the presence of a wireless sensor network (WSN). Nodes in WSN use neighbor discovery (ND) protocols to have necessary communication among the nodes. The neighbor discovery process is crucial as it is to be done with energy efficiency and minimize discovery latency and maximum percentage of neighbors discovered. The current ND approaches that are indirect in nature are categorized into methods of removal of active slots from wake-up schedules and intelligent addition of new slots. This work develops a lightweight intrusion detection system (IDS) based on two machine learning approaches, namely, feature selection and feature classification, in order to improve the security of the Internet of Things (IoT) while transferring medical data through a cloud platform. In order to take advantage of the comparatively cheap processing cost of the filter-based technique, the feature selection was carried out. The two methods are found to have certain drawbacks. The first category disturbs the original integrity of wake-up schedules leading to reduced chances of discovering new nodes in WSN as neighbors. When the second category is followed, it may have inefficient slots in the wake-up schedules leading to performance degradation. Therefore, the motivation behind the work in this paper is that by combining the two categories, it is possible to reap the benefits of both and get rid of the limitations of both. Making a hybrid is achieved by introducing virtual nodes that help maximize performance by ensuring the original integrity of wake-up schedules and adding efficient active slots. Thus, a Hybrid Approach to Neighbor Discovery (HAND) protocol is realized in WSN. The simulation study revealed that HAND outperforms the existing indirect ND models.
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Klaina, Hicham, Imanol Picallo, Peio Lopez-Iturri, et al. "IIoT Low-Cost ZigBee-Based WSN Implementation for Enhanced Production Efficiency in a Solar Protection Curtains Manufacturing Workshop." Sensors 24, no. 2 (2024): 712. http://dx.doi.org/10.3390/s24020712.
Full textAbstract:
Nowadays, the Industry 4.0 concept and the Industrial Internet of Things (IIoT) are considered essential for the implementation of automated manufacturing processes across various industrial settings. In this regard, wireless sensor networks (WSN) are crucial due to their inherent mobility, easy deployment and maintenance, scalability, and low power consumption, among other benefits. In this context, the presented paper proposes an optimized and low-cost WSN based on ZigBee communication technology for the monitoring of a real manufacturing facility. The company designs and manufactures solar protection curtains and aims to integrate the deployed WSN into the Enterprise Resource Planning (ERP) system in order to optimize their production processes and enhance production efficiency and cost estimation capabilities. To achieve this, radio propagation measurements and 3D ray launching simulations were conducted to characterize the wireless channel behavior and facilitate the development of an optimized WSN system that can operate in the complex industrial environment presented and validated through on-site wireless channel measurements, as well as interference analysis. Then, a low-cost WSN was implemented and deployed to acquire real-time data from different machinery and workstations, which will be integrated into the ERP system. Multiple data streams have been collected and processed from the shop floor of the factory by means of the prototype wireless nodes implemented. This integration will enable the company to optimize its production processes, fabricate products more efficiently, and enhance its cost estimation capabilities. Moreover, the proposed system provides a scalable platform, enabling the integration of new sensors as well as information processing capabilities.
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Zhaoyan, Li, and Zhao Chengfang. "Routing Strategy and Data Security Technology in IPv6 Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 08 (2018): 94. http://dx.doi.org/10.3991/ijoe.v14i08.9181.
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A new routing rule detection and identity authentication mechanism based on the path sequence is proposed to cope with the vulnerability problem of wireless sensor networks (WSNs) against various attacks, especially in unattended environments. Then, the great permutation encryption algorithm (G-PEC) for WSN is proposed. Finally, a signature scheme against pollution attack based on linear network coding is improved. The results show that the proposed path sequence-based authentication method with the Contiki simulation platform can significantly reduce the computing overhead of sensor nodes and decrease the energy consumption and delay of nodes to a greater extent than the traditional authentication method. The G-PEC can effectively resist eavesdropping attack, and the new signature scheme does not need additional secure channels. The proposed mechanism also provides source message authentication.
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Tawfeeq, Nada N., Mehdi J. Marie, and Khalaf S. Gaeid. "Computer control of teaching enhancement by communication networked." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 736. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp736-744.
Full textAbstract:
<span>Enhancement of teaching and education is crucial. This enhancement is rapidly improved through combining communication and technology resulting in various benefits (particularly the wireless Technologies (WT)). Such combination encourages lecturers to meet the worldwide demand for changing traditional teaching techniques to technology-based methods. Wireless system networks (WSNs) represent systems of smart devices that are<em></em>linked wirelessly. In addition, these devices are characterized by having a bandwidth of bounded communication, abilities of sensing and computation. For performing operations of control, this system employs a Flywheel Position Control System (FW PCS) as a plant node. This study utilizes the True Time 1.5 MATLAB/Simulink platform for simulating and implementing the WSN mathematical model with wireless networks. The simulation is carried out between plant nodes and controller using the IEEE 802.15.4 standard (also called ZigBee) via protocols of Wi-Fi. The suggested E-learning model comprises a set of properties that can encourage and enhance the level of students in various learning purposes and stages. </span>
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Zhang, Hui Yong, Cai Bin Liu, and Xiao Wen Bi. "PaaS RTI-Supporting Distributed Simulation Interaction in Cloud Computing Age." Advanced Engineering Forum 6-7 (September 2012): 887–94. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.887.
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In Cloud Computing age, distributed interaction simulation would encounter many difficulties, especially the WAN-based interaction. A scheme of remodeling the traditional RTI software to be with "Platform as a Service (PaaS)" architecture was proposed. This paper puts forward two different software architectures to adapt to different network environments. Kernel idea is encapsulating the APIs of traditional RTI to be Web Services, deploying and scheduling these Web Services on servers, so, a distributed interaction platform is provided to simulation users on WAN. Users could utilize the services from the platform to execute simulation interaction. Finally, an experiment was carried out to test the time-latency performance of the remodeled software.
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Hezekiah, James Deva Koresh, Karnam Chandrakumar Ramya, Mercy Paul Selvan, et al. "Nature-Inspired Energy Enhancement Technique for Wireless Sensor Networks." Energies 16, no. 20 (2023): 7021. http://dx.doi.org/10.3390/en16207021.
Full textAbstract:
Wireless Sensor Networks (WSN) play a major role in various applications, yet maintaining energy efficiency remains a critical challenge due to their limited energy availability. Network lifetime is one of the primary parameters for analyzing the performance of a WSN. This proposed work aims to improve the network lifetime of a WSN by enhancing its energy utilization through the Enhanced Monkey Search Algorithm (E-MSA). The E-MSA provides an optimum solution for this issue by finding a better routing decision by analyzing the available energy on the nodes and the distance between the source and destination. Additionally, a Class Topper Optimization (CTO) algorithm is also included in the work for determining an efficient node to be the cluster head and lead cluster head. In this technique, the data packets are collected by the lead cluster head from the other cluster heads for sending the information in a sequential manner to the base station for reducing data loss. A simulation model is implemented in the NS2 platform with 700 nodes in a 300 × 300 square meter area with 0.5 J of energy to each node for finding the efficiency of the proposed E-MSA with CTO algorithm over the traditional On-Demand Distance Vector (ODV) and Destination-Sequenced Distance Vector (DSDV) approaches. The experimental outcome indicates that the proposed work can reach a maximum lifetime of 1579 s which is comparatively better than the ODV and DSDV approaches by 212 and 358 s, respectively. Similarly, a packet delivery ratio of 79% is achieved with a throughput of 0.85 Mbps along with a delay of 0.48 s for the operation of all 700 nodes.
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Zhou, Yuhong, Yunfang Xie, and Limin Shao. "Simulation of the Core Technology of a Greenhouse-Monitoring System Based on a Wireless Sensor Network." International Journal of Online Engineering (iJOE) 12, no. 05 (2016): 43. http://dx.doi.org/10.3991/ijoe.v12i05.5735.
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To solve the topology structure of a greenhouse environment-monitoring system and the ductility of joints, this study presents a design of a greenhouse-monitoring system based on the ZigBee wireless sensor network (WSN). The hardware and software designs of the network node are provided, and the process of the ZigBee network coordinator is elucidated. The system uses the microcontroller unit PIC18F4620CC2420 wireless transceiver module to send and receive data. Data from temperature and humidity sensors are collected using an inter-integrated circuit bus through the ZigBee network transmission to the monitoring platform. Test results show that the system has the advantages of having a simple structure, flexible nodes, and low power consumption. It can effectively monitor the temperature and humidity in a wireless environment. WSNs considerably help in greenhouse environment monitoring. The use of advanced technology to control greenhouse temperature and humidity can satisfy the optimum growth environment of greenhouse crops and effectively improve the yield and quality of crops. The application of WSNs in greenhouse monitoring is significant to the development of modern and precision agriculture in China.
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Bharathidasan, S., and P. Ramamoorthy. "INVESTIGATION ON ENERGY BASED DATA GATHERING APPROACH FOR WSN." JOURNAL OF ADVANCES IN CHEMISTRY 12, no. 12 (2017): 5645–52. http://dx.doi.org/10.24297/jac.v12i25.4423.
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Wireless Sensor Networks plays a vital role in all emerging areas of Wireless Platforms like Interne of Things (IoT), WiFi, WiMAX etc. Sensor nodes are communicated with or without the presence of administrator. Data gathering is a major issue in WSN which influences the throughput, energy and data delivery. In previous research, there was not taken efforts to focus on balanced data gathering. In this research, we propose Reliable Energy Efficient Data Gathering Approach (REEDGA) to balance data gathering and overhead. To achieve this, proposed work consists of three phases. In first phase, estimation of information gathering is implemented through stable paths. Stable paths are found based on link cost. In second phase, data gathering phase is initialized to save energy in the presence of mobile sensor nodes. Overhead is kept low while keeping round trip time of gathered data. From the analytical simulation using NS2, the proposed approach achieves better performance in terms of data delivery rate, data gathering rate, throughput, delay, link availability and control overhead.
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Vicente, Ogoño, and Angamarca Carlos. "Design and simulation of prototype to get a soccer player's heart rate using a wireless network." Latin-American Journal of Computing 5, no. 2 (2018): 11–14. https://doi.org/10.5281/zenodo.5708212.
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The goal of this project is the implementation of a simulation that gets the vital information of a soccer player’s body through Wireless Body Area Network (WBAN). With this objective in mind, several programming language environments are compared with each other. This simulation only has one sample to follow according to the proposal. Therefore, the challenge is to create a new simulation sample and other platforms to compare the accuracy and delay between communications. WBANs are not conceived to carry large amounts of data, according to the WSN (wireless sensor network) concept. This entails a problem when designing applications for this kind of networks. Lastly, in respects to the results that will be presented. The results will be about which one simulation is better or what differences lay between the different environments of development.
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Gernaey, K. V., C. Rosen, D. J. Batstone, and J. Alex. "Efficient modelling necessitates standards for model documentation and exchange." Water Science and Technology 53, no. 1 (2006): 277–85. http://dx.doi.org/10.2166/wst.2006.030.
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In this paper, problems related to simulation model documentation and model exchange between users are discussed. Complex simulation models have gained popularity in the environmental field, but require extensive documentation to allow independent implementation. The existence of different simulation platforms puts high demands on the quality of the original documentation. Recent experiences from cross-platform implementations with the ASM2d and ADM1 models reveal that error-free model documentation is difficult to obtain, and as a consequence, considerable time is spent on searching for documentation and implementation errors of various sources. As such, the list of errors and coding pitfalls provided for ASM2d and ADM1 in this paper is vital information for any future implementation of both models. The time needed to obtain an error-free model implementation can be significantly reduced if a standard language for model documentation and exchange is adopted. The extensible markup language (XML) and languages based on this format may provide a remedy to the problem of platform independent model documentation and exchange. In this paper the possibility to apply this to environmental models is discussed, whereas the practical model implementation examples corroborate the necessity for a standardised approach.
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Ma, Xiang, and Tewabe Chekole Workneh. "Research on Communication Optimization of Power Carrier Sensor Control Network Based on Ant Colony Algorithm." Journal of Sensors 2022 (June 7, 2022): 1–6. http://dx.doi.org/10.1155/2022/5720584.
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In order to optimize the communication research of dynamic carrier sensing control network based on ant colony algorithm, this paper proposes an improved ant colony routing algorithm. Firstly, this paper establishes the experimental model, sets up the relevant experimental parameters, and builds the MATLAB experimental platform. The simulation results show that compared with the basic ant colony algorithm, the improved algorithm performs better in the final jumps. The average residual energy of the sensor node is more. The total energy consumption is less, and the consumption in each round is relatively stable. The residual energy fluctuation range of the sensor node is small, and the energy consumption of each node is relatively balanced. Therefore, the improved ant colony algorithm is important for improving the survival cycle of the WSN. The algorithm comprehensively considers the factors such as convergence speed, node communication distance, node residual energy, and optimal solution and can finally find the path with low node energy consumption and high node residual energy.
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Barka, Kamel, Azeddine Bilami, and Samir Gourdache. "MONet." International Journal of Pervasive Computing and Communications 13, no. 4 (2017): 345–69. http://dx.doi.org/10.1108/ijpcc-d-17-00009.
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Purpose The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet). Design/methodology/approach In MONet, the middleware level of each network node autonomously adjusts its routing parameters according to dynamic network conditions and seeks optimal trade-offs among performance objectives for a balance of its global performance. MONet controls the cooperation between agents (network nodes) while varying transmission paths to reduce and distribute power consumption equitably on all the sensor nodes of network. MONet-runtime uses a modified TinyDDS middleware platform. Findings Simulation results confirm that MONet allows power efficiency to WSN nodes while adapting their sleep periods and self-heal false-positive sensor data. Originality/value The framework implementation is lightweight and efficient enough to run on resource-limited nodes such as sensor nodes.
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Zhao, Yingxiu, and Sitong Zhou. "The Impact of Two-Sided Market Platforms on Participants’ Trading Strategies: An Evolutionary Game Analysis." Mathematics 11, no. 8 (2023): 1927. http://dx.doi.org/10.3390/math11081927.
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With the development of internet technology, more two-sided market platforms, e.g., Tabao, Amazon and Lending Club, have emerged, and it is worth exploring the role that these two-sided market platforms can play in better serving users. This paper explores the impacts of platforms on participants’ trading strategies in the two-sided market, taking the online loan market as an example. Based on the management strategies of online lending platforms, we divided them into two categories: active online lending platforms and inactive online lending platforms. Evolutionary game theory and numerical simulation were employed to investigate the influences of these two types of platforms on the trading strategies of lenders and borrowers. We found that active and appropriate management measures taken by active online lending platforms can steer lenders and borrowers towards adopting win-win trading strategies, thus attracting more high-quality borrowers and corresponding investors. These results imply that a platform with two-sided market characteristics plays a crucial role in coordinating and guiding participants on both sides, and active management measures adopted by the platform can promote the benign operation of the two-sided market.
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Anita., S. Chordia, and Megha Bajirao Shinde. "Network with Wireless Sensor." Journal of Network Security and Data Mining 3, no. 3 (2021): 1–4. https://doi.org/10.5281/zenodo.4455345.
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<em>Networks with wireless sensors illustrate a foremost role in revolutionize the globe by its sense technology. Networks with wireless sensors are being increasingly deployed in military, health care, health monitoring, environmental and several other applications, design and deployment of WSNs have many challenges. In this paper, we present the challenges in deploying WSNs for different applications. In the design of communication infrastructure, the challenges have also been deliberated. This paper introduces the Networks with wireless sensors in diverse aspects like applications, steering and data collection, security aspects & briefing about imitation podium that can be used in networks with wireless sensors. This paper gets nearer to the approach about introducing the network with wireless sensors in diverse parts of its manoeuvre and dazzling its consequence.</em>
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Zhou, Zhenggui. "Node Injection Control Logic Design for Intelligent Home System Based on Wireless Sensor Network." Journal of Sensors 2022 (August 11, 2022): 1–11. http://dx.doi.org/10.1155/2022/7284426.
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Smart home is a building, network, communication, automation, set management, and service, as one of the efficient, comfortable, safe, and environmental protection of the living environment, and can provide personalized living space according to the needs of different users. Due to the advantages of wireless sensor network (WSN), such as strong expansion ability, strong communication ability, and strong self-organization ability, the smart home system based on WSN has become the main development direction in the field of smart home. This paper analyzes the different functions and features of wireless sensor network routing protocol and use scope, aiming at the application layer, using the MQ queue enhance server concurrent processing capacity and system scalability and design based on application layer gateway and terminal node “data matching list,” which are introduced in the design of smart home system based on geographic information location energy-efficient routing protocols. The solution of routing void problem is improved by using information feedback mechanism and alternate nodes. Simulation results show that this method can improve the energy saving of energy-efficient routing protocol. Finally, the intelligent home system experiment platform was built to verify the overall function of the system, and the communication function of the WiFi network and ZigBee network was tested. Based on the analysis of the interference between ZigBee and WiFi network, frequency agility algorithm is used to solve the problem of the same frequency interference, so as to ensure the performance of the system to meet the needs of the smart home system.
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Shareef, Ali, and Yifeng Zhu. "Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks." Journal of Computer Networks and Communications 2012 (2012): 1–20. http://dx.doi.org/10.1155/2012/870281.
Full textAbstract:
Energy consumption of energy-constrained nodes in wireless sensor networks (WSNs) is a fatal weakness of these networks. Since these nodes usually operate on batteries, the maximum utility of the network is dependent upon the optimal energy usage of these nodes. However, new emerging optimal energy consumption algorithms, protocols, and system designs require an evaluation platform. This necessitates modeling techniques that can quickly and accurately evaluate their behavior and identify strengths and weakness. We propose Petri nets as this ideal platform. We demonstrate Petri net models of wireless sensor nodes that incorporate the complex interactions between the processing and communication components of an WSN. These models include the use of both an open and closed workload generators. Experimental results and analysis show that the use of Petri nets is more accurate than the use of Markov models and programmed simulations. Furthermore, Petri net models are extremely easier to construct and test than either. This paper demonstrates that Petri net models provide an effective platform for studying emerging energy-saving strategies in WSNs.
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Arulprakash, A., K. M. Baalamurugan, Rajesh Kumar Dhanaraj, K. Sampath Kumar, Punit Gupta, and Salma Rehman. "Aggregation Technique Using Dynamic Cross-Propagation Clustering Algorithm in Wireless Body Sensor Networks." Wireless Communications and Mobile Computing 2022 (August 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/6102584.
Full textAbstract:
Wireless body sensor networks (WBSNs) are characterized by a large number of battery-powered wireless sensor nodes, and the most challenging aspects of WBSNs are sensor node energy consumption, delay, and security (communication and data) while maintaining regular wireless sensor network (WSN) capabilities. Data aggregation, as a common procedure in data gathering applications, can waste a lot of energy since sensor nodes may stay in the listen to state even when they are not receiving data during the data collection process. In this research work, introducing the Self-Executing-Dynamic Cross-Propagation Clustering (SE-DCPC) algorithm helps to improve the node energy consumption positively by turning nodes to the accessible state when not in use and waking them up when necessary. The algorithm is energy-based and uses a self-executing-based dynamic cross-propagation clustering system to send/receive scheduling data in the WSN platform. The energy level of the nodes is the most essential component in constructing network communication, in contrast to earlier clustering algorithms. The purpose of this proposed algorithm is to enhance the traditional notion of the clustering algorithm (location-based clustering), leading to the primary goal of enhancing the permanence of the wireless sensor network, which is to conserve network coverage, using self-executing DCPC clustering technology for location and power. The result of performance analysis of the SE-DCPC is achieved by simulation using two different communication processes of clustering and intelligence decision-making methods. The numerical results shows that SE-DCPC can effectively handle and maintain a high rate of network node energy consumption. The simulation result shows that the proposed approaches securely obtain the high throughput and very minimal delay at the client side, compared to existing clustering algorithm approaches. This SE-DCPC algorithm increased by 21.89% the communication medium lifetime and by 37% the energy consumption and reduced by 23.27% the overhead compared with existing clustering algorithms.
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Thilagavathi, Shanmugasundaram, and Bhavani Gnanasambandan Geetha. "Energy Aware Swarm Optimization with Intercluster Search for Wireless Sensor Network." Scientific World Journal 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/395256.
Full textAbstract:
Wireless sensor networks (WSNs) are emerging as a low cost popular solution for many real-world challenges. The low cost ensures deployment of large sensor arrays to perform military and civilian tasks. Generally, WSNs are power constrained due to their unique deployment method which makes replacement of battery source difficult. Challenges in WSN include a well-organized communication platform for the network with negligible power utilization. In this work, an improved binary particle swarm optimization (PSO) algorithm with modified connected dominating set (CDS) based on residual energy is proposed for discovery of optimal number of clusters and cluster head (CH). Simulations show that the proposed BPSO-T and BPSO-EADS perform better than LEACH- and PSO-based system in terms of energy savings and QOS.