Journal articles: 'Wireless network design problem'

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DIN, D. R. "Wireless ATM Backbone Network Design Problem." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E88-A, no. 7 (July 1, 2005): 1777–85. http://dx.doi.org/10.1093/ietfec/e88-a.7.1777.

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He, Yongqiang, and Mingming Yang. "Research on cross-layer design and optimization algorithm of network robot 5G multimedia sensor network." International Journal of Advanced Robotic Systems 16, no. 4 (July 2019): 172988141986701. http://dx.doi.org/10.1177/1729881419867016.

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Cross-layer optimization based on maximizing the utility of network robot 5G multimedia sensor network is a systematic method for cross-layer design of wireless networks. It abstracts the functional and performance requirements of the layers in the protocol stack into objective functions and constraints in mathematical optimization problems. In this article, the cross-layer optimization problem of wireless Mesh networks using multi-radio interface multi-channel technology is studied. The optimization problem is modelled based on the network utility maximization method, and the corresponding algorithm is proposed. Based on the random network utility maximization method, the cross-layer optimization model of network robot 5G multimedia sensor network is established. Aiming at the time-varying randomness of random data flow and wireless propagation environment in network robot 5G multimedia sensor network, a model of joint congestion control and power control based on chance constrained programming is proposed, and its genetic algorithm is used to verify it. Reforming research will help speed up the practical pace of the field, with certain theoretical forward-looking and practical value.

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Li, Li, Wei Liu, Hai Yan Chen, and Guo Zhu Zhou. "Cross-Layer Design to Solve Cooperation Problem in Ad Hoc Network." Advanced Materials Research 756-759 (September 2013): 1067–71. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1067.

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A wireless ad hoc network is a self-configuring infrastructurelessh network of mobile devices connected by wireless. In order to support the basal networking functions like routing and packet forwarding, the nodes in wireless ad hoc network should be cooperate with each other due to the limited range of wireless transmission. However, nodes are unwilling to relay packets for others considering the poor energy and bandwidth especially in the open community environment. Some approaches to stimulate nodes cooperation have been introduced recently. In this paper, we provide a novel method based on cross-layer design to solve the cooperation issues both in Mac and network layer. The method with the help of reputation mechanism and utility function based on game theoretical approach can promote nodes to cooperate and make the whole network to reach Nash equilibrium.

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Wang, Tong Jun. "Verifiable Privacy Protection Research on the Key Technology of Range Queries in WCSN." Applied Mechanics and Materials 687-691 (November 2014): 2244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2244.

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In order to solve the problem of coexistence between heterogeneous wireless system public frequency and spectrum hole problem based on the traditional wireless sensor networks, further play the modern wireless chip can support multiple different frequency channel advantage, is proposed for heterogeneous wireless sensor network characteristics of new technology to verify the privacy protection range query, and then on the basis, design and implementation of a heterogeneous wireless sensor network security range query prototype system, in order to increase the range of heterogeneous wireless sensor network query process verifiable privacy protection performance, so as to lay the foundation for the further application of science and technology in heterogeneous wireless sensor networks.

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Wang, Shusheng. "Design of Minimizing Expected Energy of Multisource Wireless Cooperative Network Based on Multiobjective Optimization." Mobile Information Systems 2021 (March 1, 2021): 1–9. http://dx.doi.org/10.1155/2021/5517029.

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In order to solve the problems of high average power consumption, low average throughput, high average energy consumption per unit of data, and short network life cycle in traditional multisource wireless cooperation methods, this paper proposes a multisource wireless cooperative network design method based on multiple goals. We analyze the characteristics of heterogeneous deployment of multisource wireless cooperative networks and the energy consumption of nodes and control the energy consumption of network data transmission through distributed opportunistic transmission scheduling methods according to the analysis results. We use the optimal strategy of minimizing expected energy consumption, transform the problem of data transmission energy consumption, establish a mathematical model, and obtain the optimal solution for minimizing expected energy consumption. According to the optimal stop rule, the minimum expected energy consumption threshold is obtained, and then the optimal solution is obtained on the constraint set of the multiobjective optimization problem through the multiobjective optimization method, so as to achieve the goal of minimizing the expected energy of the network. Experimental results show that this method prolongs the network life cycle, reduces the average power consumption of network data transmission, and improves the average network throughput.

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Murthy Garimella, Ram, Damodar Reddy Edla, and Venkatanareshbabu Kuppili. "Energy Efficient Design of Wireless Sensor Network: Clustering." International Journal of Engineering & Technology 7, no. 4.5 (September 22, 2018): 207. http://dx.doi.org/10.14419/ijet.v7i4.5.20046.

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One of the significant criteria of wireless sensor network is energy efficiency. Focused on the energy problem, researchers design a few algorithms based on clustering in the present era but lack of proper mathematically rigor justification. To fill this research gap, a system and method has been proposed with a mathematical proof induced from the concept of Hessian matrix of multi variable calculus for Energy efficient techniques of data gathering or routing in Wireless Sensor Networks. It is assumed that Wireless Sensor Nodes are distributed in a multidimensional space. Illustrations verify that the proposed system mathematical design for any clustering approach promises a low-energy communication structure.

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HADA, Akio, and Ryuji TSUCHIYA. "Optimization Algorithm for Energy-efficient Wireless Sensor Network Design Problem." Quarterly Report of RTRI 53, no. 3 (2012): 135–40. http://dx.doi.org/10.2219/rtriqr.53.135.

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Gao, Xiaofeng, Junwei Lu, Haotian Wang, Fan Wu, and Guihai Chen. "Algorithm Design and Analysis for Wireless Relay Network Deployment Problem." IEEE Transactions on Mobile Computing 18, no. 10 (October 1, 2019): 2257–69. http://dx.doi.org/10.1109/tmc.2018.2874650.

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Liu, Bing-Hong, Van-Trung Pham, and Ngoc-Tu Nguyen. "An Efficient Algorithm of Constructing Virtual Backbone Scheduling for Maximizing the Lifetime of Dual-Radio Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/475159.

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Wireless sensor networks have often been used to monitor environmental conditions, such as temperature, sound, and pressure. Because the sensors are expected to work on batteries for a long time without charging their batteries, the major challenge in the design of wireless sensor networks is to enhance the network lifetime. Recently, many researchers have studied the problem of constructing virtual backbones, which are backbones used for different time periods, to prolong the network lifetime. In this paper, we study the problem of constructing virtual backbones in dual-radio wireless sensor networks to maximize the network lifetime, called the Maximum Lifetime Backbone Scheduling for Dual-Radio Wireless Sensor Network problem, where each sensor is equipped with two radio interfaces. The problem is shown to be NP-complete here. In addition, rather than proposing a centralized algorithm, a distributed algorithm, called a Dominating-Set-Based Algorithm (DSBA), is proposed for a wide range of wireless sensor networks to find a backbone when a new one is required. Simulation results show that the proposed algorithm outperforms some existing algorithms.

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Tomaszewski, Artur. "Design of Optical Wireless Networks with Fair Traffic Flows." Journal of Applied Mathematics 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/938483.

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The paper presents a method for optimising the wireless optical network that carries elastic packet traffic. The particular focus is on modelling the effect of elastic traffic flows slowing down in response to the decrease of the optical transmission systems’ capacity at bad weather conditions. A mathematical programming model of the network design problem is presented that assumes that the packet rates of elastic traffic flows decrease fairly. While practically any subset of network links can be simultaneously affected by unfavourable transmission conditions, a particular challenge of solving the problem results from a huge number of network states considered in the model. Therefore, how the problem can be solved by generating the most unfavourable network states is presented. Moreover, it is proved that it is entirely sufficient to consider only the states that correspond to the decrease of capacity on a single link. Finally, as the general problem is nonlinear, it is shown that the problem can be transformed to a linear MIP problem and solved effectively when single-path routing of traffic flows is assumed.

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Rusdan, Muchamad, and Muhamad Sabar. "Design and Analysis of Wireless Network with Wireless Distribution System using Multi-Factor Authentication-based User Authentication." Journal of Information Technology 2, no. 1 (March 2, 2020): 17–24. http://dx.doi.org/10.47292/joint.v2i1.004.

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Wireless networks are one of the best alternatives in building practical and flexible computer networks that have high mobility. Most of them use wireless networks to support existing cable networks, but on wireless networks, they still use cable media as a backbone of the access point, which supports communication users can access the internet and find information. The problem of using cables as backbone media can be a significant challenge in places that are difficult to reach by wires. Wireless networks provide convenience and convenience that is high enough to use. As long as they are in an area that is supported by a wireless network, users can access the internet at any time. To make the wireless network connected to the internet safe and easy to use, we can create a user authentication system based on Multi-Factor Authentication (MFA) that can be used to authenticate and authorize. In general, each user can use existing wireless network services by verifying users based on Wifi Protected Access 2 Pre-Shared Key (WPA2-PSK). The purpose of this research is to develop a wireless network that uses Multi-Factor Authentication (MFA) based user authentication to be able to connect to the wireless network to increase security and provide the use of existing wireless networks. The research method used in this study uses descriptive qualitative research methods, with data collection using literature study and observation techniques. After analysis and design, it can be concluded that user authentication is based on Multi-factor Authentication (MFA) in a safe and user-friendly manner that can determine the users who are allowed and not allowed to use wireless networks.

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Bencan, Gong, Dong Panpan, Chen Peng, and Ren Dong. "Evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks." International Journal of Distributed Sensor Networks 16, no. 3 (March 2020): 155014772091100. http://dx.doi.org/10.1177/1550147720911000.

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In wireless sensor networks, if sink node is stationary, the nodes close to sink will deplete energy faster than those in other areas. The unbalanced energy consumption among the nodes will lead to the energy hole problem, which shortens the network lifetime. To solve the problem, evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks is proposed in this article. In evolutionary game model, the average residual energy of each cluster, average intra-cluster energy consumption, and average inter-cluster energy consumption are used to design utility function. The sink will select the cluster with more utility value as its new location and move to the cluster head which has the largest residual energy and the shortest distance to other cluster heads. The simulation results show that the algorithm can effectively balance network load, reduce network energy consumption, prolong the network lifetime, and increase the number of data packets that sink receives.

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Huang, Shou Zhi, and Xue Zeng Zhao. "Application of Wireless Sensor Networks on Power Plants Monitoring." Applied Mechanics and Materials 321-324 (June 2013): 762–66. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.762.

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The traditional wired monitoring system for power plants is complex and hard to detect when the system faces some problems. The idea of monitoring the environment of power plants wirelessly is proposed to solve this problem. The feasibility of applying wireless sensor networks to power plants monitoring is analyzed. Then a wireless monitoring system based on XBee modules which are using ZigBee technology is designed. The temperature and electrical current data are gathered by sensors attached to the XBee modules and transferred to the PC controller through mesh network. An interface between coordinator and controller is designed utilized LABVIEW software to read data and send commands. In the end, a three nodes demo system is built up to testify the design.

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Bahri, Abderraouf, and Steven Chamberland. "On the wireless local area network design problem with performance guarantees." Computer Networks 48, no. 6 (August 2005): 856–66. http://dx.doi.org/10.1016/j.comnet.2004.11.009.

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Wang, Xiaohui, and Tongqian Peng. "A New Energy-Balanced Transmission Scheme for Maximizing Network Lifetime in Wireless Sensor Networks." Journal of Computational and Theoretical Nanoscience 14, no. 1 (January 1, 2017): 146–50. http://dx.doi.org/10.1166/jctn.2017.6140.

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Maximizing the network lifetime is one of design challenges for data transmission in wireless sensor networks (WSNs) which is caused by the energy sink-hole problem. Recent researches show the energy sink-hole problem can be overcome by balancing the sensor energy consumptions. The paper proposes a new energy-balanced transmission scheme for maximizing network lifetime in wireless sensor networks, which focused on the corona-based WSN only with two coronas and we simulate the network base on the different radius of coronas because experiments show that the lifetime of corona-based WSN using two coronas is optimum for maximizing lifetime in the free space environments. Experimental simulation shows that the design method maximizes lifetime more than 10% than the existing methods.

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Yao, Zheng, and Zhao Hua Wang. "Study of Complex Network Optimization in Wireless Sensor Networks." Applied Mechanics and Materials 55-57 (May 2011): 1305–9. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1305.

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Energy consumption is a critical problem in operation of wireless sensor networks. For the sake of avoiding the data abundance and balancing the energy consumption in wireless sensor networks, this paper makes a research on network nodes Optimization in wireless sensor network based on ant colony algorithm and WIA-PA protocol stack. The novel design improved on hardware and software to control consumption of the energy and used transition probability of ant colony algorithm from one node to the other to calculate and determine the optimal path of network node in traversal of these locations. The results of the examples show that this method has lower energy consumption, computational briefness and higher positioning accuracy; it can not easily run into the local optimum, and also be applied to other tracking of complex network systems.

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Fu, Sheng, and Hao Lin. "Design of Mine Ventilators Monitoring System Based on ZigBee." Applied Mechanics and Materials 385-386 (August 2013): 626–30. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.626.

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In the current mine ventilators monitoring system, there are some difficulties in the installation and maintenance because of the wired connection. To solve the problem, this paper introduces a new ventilators monitoring system based on ZigBee in which the monitoring parameters are transmitted wirelessly. The collecting devices are designed to form a cluster network to collect temperature, vibration, air pressure and other parameters of the mine ventilator. All these devices are battery-powered. Besides, the monitoring software in PC is developed using MFC. Experiments show that the designed wireless sensor network works well in the site environmental condition and the system is very convenient to install since the wireless connection. This monitoring system will have a wide application prospect in the upgrade of the old monitoring system of the ventilators.

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Song, Yang, Mu Qing Wu, and Kai Jia. "Design of Wireless Sensor Management Platform Based on Embedded ARM." Applied Mechanics and Materials 148-149 (December 2011): 106–11. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.106.

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Wireless Sensor Network is receiving more widely appreciate because of its great prospect. But a variety of sensors need a unified mobility management platform. This paper considers this problem, proposes and implements a wireless sensor management platform which can control a variety of sensors and transfer the collected data by using wireless technology. Then a testing wireless network is built to test the performance of this mobile platform. The test result proves that this platform has the ability of manage sensors, and has the advantages of mobility and portability.

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Chen, Li Diong, Lei Shi, Shu Ying Ma, and Sheng Tao Liu. "Design of Temperature Monitoring System for Solar Laminator Based on ZigBee Technology." Advanced Materials Research 706-708 (June 2013): 748–51. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.748.

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To solve the traditional solar laminator distributed temperature monitoring system wiring problem, a distributed wireless network temperature monitoring system based on ZigBee technology is introduced in this paper. The system sets up a ZigBee wireless monitoring network through a Zigbee-based wireless charge germination processor, CC2430, hardware design and software design process of coordinator node and the sensor node, and we can get temperature monitoring from each sensor node by the network. The method introduced in the paper can make the detection process simple and effective.

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Xiong, Meini. "Research on Design of the Network Multimedia Courseware based on Wireless Sensor Networks for Art Design Teaching." E3S Web of Conferences 115 (2019): 01008. http://dx.doi.org/10.1051/e3sconf/201911501008.

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Network teaching plays an important role in modern teaching with development of multimedia information technology. Therefore, how to design the network multimedia courseware for art design teaching in order to improve the teaching quality is a key problem in the network teaching environment, which can meet requirements of art design innovation and provide an important approach to the art design teaching.

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Zhou, Jie. "A Biologically Inspired Energy-Efficient Duty Cycle Design Method for Wireless Sensor Networks." Journal of Sensors 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/3089402.

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The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA) strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints.

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Hao, Jie, Ran Wang, Baoxian Zhang, Yi Zhuang, and Bing Chen. "Compressed Sensing Based Joint Rate Allocation and Routing Design in Wireless Sensor Networks." Wireless Communications and Mobile Computing 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/6261453.

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Compressed sensing for wireless sensor networks has attracted a lot of research attention in the last decade for its advantages in energy saving, robustness, and so on. Nevertheless, existing solutions mostly focus on the data compression performance while neglecting the energy efficiency. In this paper, we first present the joint resource allocation problem formulation based on compressed sensing. Then a distributed algorithm to compute the sampling rate and routes utilizing local network status is proposed. We conduct extensive experiments based on meteorological wireless sensor networks to verify the merit of our mechanism; it is shown that the proposed mechanism is able to achieve very high efficiency in terms of network lifetime and sensing quality compared with existing approaches.

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Gu, Musong, Lei You, Jun Hu, Lintao Duan, and Zhen Zuo. "The Wireless Sensor Networks Base Layout and Density Optimization Oriented towards Traffic Information Collection." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/214905.

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Wireless sensor networks (WSN) are applied in Intelligent Transport System for data collection. For the low redundancy rate of the wireless sensor networks nodes of traffic information collection, the senor nodes should be deployed reasonably for the WSN nodes to work effectively, and, thus, the base network structure and the density optimization of the sensor network are one of the main problems of WSN application. This paper establishes the wireless sensor networks design optimization model oriented to the traffic information collection, solving the design optimization model with the chemical reaction optimization (CRO) algorithm. The experimental results show that CRO algorithm outperforms the traditional particle swarm optimization (PSO) in solving the wireless sensor network design optimization oriented to the traffic information collection, capable of optimizing the wireless sensor network deployment of traffic information collection to contribute to the great improvement of the comprehensive value of the network performance. The reasonable design of the wireless sensor network nodes has great significance for the information collection, post-maintenance-and-extension, and cost saving of a monitoring system.

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Ni, Yong, Chen Chen, Zhen Xu, and Fang Wang. "Design of Parking Control Systems Based on Wireless Sensor Network." Applied Mechanics and Materials 117-119 (October 2011): 1584–88. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.1584.

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With the rapid development of the national economy, increasing national income, increasing total vehicle population, the growing problem of urban parking difficult, advanced control technology in the parking management system in use is more practical significant. Parking by the systematic investigation and research at home or abroad, as well as similar analysis of system design technology, this paper of wireless sensor network technology based on the parking control system related to technical analysis, then designing the hardware circuit and the corresponding software, finally, the new wireless parking control system has been designed and realized.

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Luan, Zhijun, and Hunli Fan. "Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 01 (January 17, 2019): 18. http://dx.doi.org/10.3991/ijoe.v15i01.9774.

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<span lang="EN-US">t</span><span lang="EN-US">he fusion of cellular network and wireless sensor network is the key research problem of Internet of Things (IoT) technology at present. The design and implementation of wireless sensor cellular network based on Android platform is mainly studied. Firstly, wireless sensor network and cellular network, Android platform, cellular network and Wireless Sensor Network (WSN) fusion strategy, and Wireless Sensor Network (WSN) gateway platform are introduced. Then related functions are introduced, mainly including terminal registration management, connection management, authentication management, terminal fault management, and communication message design on the gateway and sensor network side. Finally, related functional tests are conducted. The results show that the designed application layer gateway system can connect the sensor network with the cellular network.</span><span lang="DE"> Time Division-Synchronization Code Division Multiple Access (TD-SCDMA) and cellular network covers the whole world, while cellular network has been interconnected with the Internet through Access Network Technologies such as General Packet Radio Service (GPRS), The Fourth Generation of Mobile Phone Mobile Communication Technology Standards (4G) and Long Term Evolution (LTE), thus enabling the sensor network to access the Internet anytime and anywhere</span>

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Chamberland, Steven, and Samuel Pierre. "On the Design Problem of Cellular Wireless Networks." Wireless Networks 11, no. 4 (July 2005): 489–96. http://dx.doi.org/10.1007/s11276-005-1770-3.

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Anshu Kumar Dwivedi DUBEY. "EE-LEACH: Energy Enhancement in LEACH to Improve Network Life Time of Homogeneous Wireless Sensor Network." Law, State and Telecommunications Review 12, no. 1 (March 16, 2020): 205–24. http://dx.doi.org/10.26512/lstr.v12i1.29051.

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Purpose ”“ In the recent scenario, there are various issues related to wireless sensor networks such as clustering, routing, packet loss, network strength. The core functionality of primarily wireless sensor networks is sensor nodes that are randomly scattered over a specific area. The sensor senses the data and sends it to the base station. Energy consumption is an important issue in wireless sensor networks. Clustering and cluster head selection is an important method used to extend the lifetime of wireless sensor networks. The main goal of this research article is to reduce energy consumption using a clustering process such as CH determination, cluster formation, and data dissemination. Methodology/approach/design ”“ The simulation in this paper was finished utilizing MATLAB programming methodology and the proposed technique is contrasted with the LEACH and MOD-LEACH protocols. Findings ”“ The simulation results of this research show that the energy consumption and dead node ratio are improved of wireless sensor networks as compared to the LEACH and MOD-LEACH algorithms. Originality/value ”“ In the wireless sensor network there are various constraints energy is one of them. In order to solve this problem use CH selection algorithms to reduce energy consumption and consequently increase network lifetime.

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Zhang, Hua. "Design and Implementation of Wireless Sensor Network Data Transfer Protocol." Applied Mechanics and Materials 539 (July 2014): 220–23. http://dx.doi.org/10.4028/www.scientific.net/amm.539.220.

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This paper discussed the problem of wireless sensor network data transmission protocols, and combined with the characteristics of WSN and the actual needs, the design and implementation of a data transmission priority queue and priority transmission scheme of ACK, provide an end-to-end transmission for the important information, and achieve the timely, reliable transmission of control information.

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Ruela, André Siqueira, Raquel da Silva Cabral, André Luiz Lins Aquino, and Frederico Gadelha Guimarães. "Memetic and Evolutionary Design of Wireless Sensor Networks Based on Complex Network Characteristics." International Journal of Natural Computing Research 1, no. 2 (April 2010): 33–53. http://dx.doi.org/10.4018/jncr.2010040103.

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This work proposes the design of wireless sensor networks using evolutionary algorithms based on complex network measures. In this paper, the authors develop heuristic approaches based on genetic and memetic algorithms for finding a network configuration based on two complex network measures, the average shortest path length, and the cluster coefficient. The work begins with the mathematical model of the hub allocation problem, developed to determine the nodes that will be configured as hubs. This model was adopted within the basic and the hybrid genetic algorithm, and results reveal that the methodology allows the configuration of networks with more than a hundred nodes where some complex network measures are observed in the physical communication layer. The energy consumption and the delay could be reduced when a tree based routing is built over this physical layer.

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Wang, Meng, Xin Yu Tang, Wen Xiao Zeng, Jun Lin Zhou, and Rong Hui Zhang. "The Wireless Network Routing Protocols and Data Communication Methods for Multiple Sensor Information Used in Mining Mechanical." Key Engineering Materials 621 (August 2014): 288–93. http://dx.doi.org/10.4028/www.scientific.net/kem.621.288.

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In view of the development of wireless sensor system data transmission model in mine mechanical, we construct a ground reflection model of double path combined with the actual background demand based on the analysis of the wireless network routing protocol. Firstly, we put forward the selection strategy on wireless communication transmission power of multiple information sensor nodes. To build a data communication mode, we proposed the selection and evaluation method of network parameters based on graph theory. In consideration of the wireless channel model, combined with the initial random layout problem of network node, we explore whether to be neighbors between any two nodes arranged at random and the constraint relationship of wireless communication distance between nodes. Finally, we make up a dynamic routing selection algorithm with a view to dynamic nodes, and conduct the simulation analysis and experiment design. The research results show that with the increase of the random movement speed about network nodes, the process of depleting the energy of the nodes in the wireless sensor network speeds up, which explain the protocol given in the paper requires more energy to cope with the problem that the network topology changes frequently because of the random motion of nodes in network. The research results provide a reference to the wireless network node research and design in the electromechanical integration design.

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Wu, Ningning, Juwei Zhang, Qiangyi Li, Shiwei Li, Yachuang Liu, Yale Wang, and Zhumu Fu. "Mobile Nodes Deployment Scheme Design Based on Perceived Probability Model in Heterogeneous Wireless Sensor Network." Journal of Robotics and Mechatronics 26, no. 5 (October 20, 2014): 616–21. http://dx.doi.org/10.20965/jrm.2014.p0616.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00260005/10.jpg"" width=""200"" /> Nodes moving direction in our scheme</div> Wireless sensor network nodes deployment optimization problem is studied and wireless sensor nodes deployment determines its capability and lifetime. The nodes deployment scheme based on the perceived probability model aiming at wireless sensor network nodes which are randomly deployed is designed. The scheme can be used to calculate the perceived probability in the area around wireless sensor network nodes and move the wireless sensor nodes to the low perceived probability area according to the current energy of the wireless sensor node. The simulation results show that this deployment scheme achieves the goal of the nodes reasonable distribution by improving the network coverage and reducing the nodes movement distance and energy consumption. </span>

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Hu, Liang, Jiejun Hu, Tao Fu, Jiyang Bao, and Feng Wang. "Asymmetric network information cache based on mobile traffic in software-defined network." Advances in Mechanical Engineering 11, no. 1 (January 2019): 168781401881989. http://dx.doi.org/10.1177/1687814018819894.

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Software-defined network is an encouraging research area that realizes updates throughout an entire network, and a wireless network is ubiquitous in an up-to-date world. The combination of these techniques, which is referred to as a wireless software-defined network, has been a significant development in numerous testbeds. The extensive use of distributed controllers that achieved elastic extension and are fault tolerant in large-scale wireless networks is hopeful. Despite their profits, they generate significant overhead in synchronizing network information. Thus, power-hungry wireless software-defined network devices limit the usage of distributed controllers in wireless networks. The patterns of storing network information have a crucial effect on controller performances, as they determine the probability of processing requests based on local data. To address this problem, we identify a better pattern for controllers to retain proper network information to balance costs in terms of both synchronous traffic and response time. We analyze the characteristics of distributed controllers and propose an overhead model of a distributed controller in a wireless software-defined network. Based on this model, we design an asymmetric network information cache to make trade-offs among different controller architectures. The asymmetric network information cache measures real-time network traffic and computes the traffic among sub-networks controlled by controller nodes. Then, the controller asymmetrically caches suitable network data to substantially busier nodes. The experimental results indicate that the asymmetric network information cache achieves a trade-off between synchronous traffic and the average response time.

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Zhou, Yang, Yan Shi, and Shanzhi Chen. "Capacity and Delay Analysis for Large Social-Aware Mobile Ad Hoc Wireless Networks." Applied Sciences 10, no. 5 (March 3, 2020): 1719. http://dx.doi.org/10.3390/app10051719.

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Most mobile ad hoc wireless networks have social features. It is a fundamental problem how to understand the performances of social-aware mobile ad hoc wireless networks. In this paper, we consider a wireless network area, with restricted mobility model and rank-based social model. On this basis, we investigate the upper bound of throughput capacity in such networks using the protocol interference model. By tessellating the network area into cells spatially and dividing time into slots temporally, we propose a multi-hop relay and slots allocation scheduling strategy. Then, we derive the achieved throughput capacity under this strategy. Results show per-node throughput is related to parameter of social model and range of node motion. In addition, we also study the delay varies by queueing theory in such network. Finally, we discuss capacity-delay tradeoffs in such networks. These results are beneficial to the design of network protocols in large social-aware mobile ad hoc wireless networks.

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Fan, Fei, Qiaoling Ji, Gongping Wu, Man Wang, Xuhui Ye, and Quanjie Mei. "Dynamic Barrier Coverage in a Wireless Sensor Network for Smart Grids." Sensors 19, no. 1 (December 22, 2018): 41. http://dx.doi.org/10.3390/s19010041.

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The development of engineering technology such as inspection robots (IR) for transmission lines and wireless sensor networks (WSN) are widely used in the field of smart grid monitoring. However, how to integrate inspection robots into wireless sensor networks is still a great challenge to form an efficient dynamic monitoring network for transmission lines. To address this problem, a dynamic barrier coverage (DBC) method combining inspection robot and wireless sensor network (WSN) is proposed to realize a low-cost, energy-saving and dynamic smart grid-oriented sensing system based on mobile wireless sensor network. To establish an effective smart grid monitoring system, this research focuses on the design of an effective and safe dynamic network coverage and network nodes deployment method. Multiple simulation scenarios are implemented to explore the variation of network performance with different parameters. In addition, the dynamic barrier coverage method for the actual scene of smart grid monitoring considers the balance between network performance and financial costs.

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Xu, Chaonong, Chi Zhang, Yongjun Xu, and Zhiguang Wang. "A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/820692.

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The idea of network protocol design based on optimization theory has been proposed and used practically in Internet for about 15 years. However, for large-scale wireless ad hoc network, although protocol could be viewed as a recursive solving of a global optimization problem, protocol design is still facing huge challenge because an effective distributed algorithm for solving global optimization problem is still lacking. We solve the problem by putting forward a systematic design method based on optimization decomposition. The systematic method includes primal decomposition method and dual decomposition method, with which a complex optimization problem can be decomposed into several smaller and independent optimization subproblems. By using subgradient method, each of these subproblems can be solved distributively. Further, the above two methods can be combined in different sequences or used recursively to solve more complex optimization problems. Two examples of wireless protocol design, the transmission control protocol and the joint congestion control and power control protocol, are given to demonstrate its validity.

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Niccolai, Alessandro, Francesco Grimaccia, Marco Mussetta, and Riccardo Zich. "Optimal Task Allocation in Wireless Sensor Networks by Means of Social Network Optimization." Mathematics 7, no. 4 (March 28, 2019): 315. http://dx.doi.org/10.3390/math7040315.

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Wireless Sensor Networks (WSN) have been widely adopted for years, but their role is growing significantly currently with the increase of the importance of the Internet of Things paradigm. Moreover, since the computational capability of small-sized devices is also increasing, WSN are now capable of performing relevant operations. An optimal scheduling of these in-network processes can affect both the total computational time and the energy requirements. Evolutionary optimization techniques can address this problem successfully due to their capability to manage non-linear problems with many design variables. In this paper, an evolutionary algorithm recently developed, named Social Network Optimization (SNO), has been applied to the problem of task allocation in a WSN. The optimization results on two test cases have been analyzed: in the first one, no energy constraints have been added to the optimization, while in the second one, a minimum number of life cycles is imposed.

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Liao, Chuan Zhu, Ming Yan Jiang, and Kun Kun Shang. "Cross Layer Optimization for Lifetime Maximization in Wireless Sensor Network Based on Particle Swarm Optimization." Advanced Materials Research 718-720 (July 2013): 1980–85. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1980.

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Network lifetime is a critical metric in the design of energy-constrained wireless sensor networks. In this paper, we consider the joint cross layer optimization of the physical layer, medium access control layer and routing layer to maximize network lifetime of a multi-sources and single-sink wireless sensor network with energy constraints. We focus on synchronous small-scale sensor network with interference-free link scheduling and practical MPSK link transmission scheme. As the network lifetime maximization problem is a constrained non-convex optimization problem that is difficult to be solved, and the particle swarm optimization algorithm is a good intelligent algorithm, we employ it to solve the problem mentioned above effectively in this paper. The penalty function technique is brought in to work out the constrained optimization problem by converting it to an unconstrained optimization problem. Simulation results show the effectiveness of the proposed algorithm in energy saving and network lifetime maximization, and the particle swarm optimization can solve the network lifetime maximization problem fast and efficiently.

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Shen, Chaowen. "Design and Realization of Video Signals Encryption and Decryption via Chaotic Sequence." MATEC Web of Conferences 228 (2018): 02006. http://dx.doi.org/10.1051/matecconf/201822802006.

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As is known to all, data transmission in wireless networks is easy to intercept because of the openness of wireless signals. In order to deal with this security problem, this paper presents a secure communication method based on driving-response synchronization and TCP protocol. The video signal is encrypted and decrypted by a chaotic sequence and transmitted through WIFI network in real time. Furthermore, the system configuration and design procedures are described in detail. Experimental results show that our approach is feasible for video secure communication.

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CHEN, WANMING, HUAWEI LIANG, TAO MEI, ZHUHONG YOU, SHIFU MIAO, SHUAI LI, YAJIN ZHOU, and MAX Q. H. MENG. "DESIGN AND IMPLEMENTATION OF WIRELESS SENSOR NETWORK FOR ROBOT NAVIGATION." International Journal of Information Acquisition 04, no. 01 (March 2007): 77–89. http://dx.doi.org/10.1142/s0219878907001186.

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Global Positioning System (GPS) is often used as a main information source for robot localization and navigation. However, it cannot be used in room or in field complex environment because of the bad signal there. To solve this problem, the authors designed and implemented a specific wireless sensor network (WSN) to provide information about the environment and indicate path for robot navigation. A two-stage auto-adaptive route selecting mechanism of the WSN was proposed to facilitate data relaying in localization and the robot's navigation. A low complexity localization algorithm was used to localize both the nodes and the robot. An indirect communication method was designed to make the communication between the WSN and the robot possible. In addition, a robot navigation method was proposed based on the wireless sensor network. In this method, the robot did not need to obtain the environment information; the wireless sensor nodes collected and fused the distributed information and then indicate a path for the robot. Experiments showed that the wireless sensor network can result in obstacle avoidance navigation, and can implement the online navigation.

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Rong, Liu. "Design of Ideological and Political Multimedia Network Teaching Resources Integration System Based on Wireless Network." Scientific Programming 2021 (June 10, 2021): 1–15. http://dx.doi.org/10.1155/2021/4293771.

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The main purpose of the integration of network media and middle school ideological and political course is to better realize the moral education function of middle school ideological and political development. The use of resource integration technology to manage distributed teaching resources is conducive to improving the level of information construction in colleges and universities, and so on. This paper puts forward the integration system of ideological and political multimedia network teaching resources based on wireless network. Firstly, it presents an overview of the Radio Resource Management (RRM) problem and projected strategies within wireless network framework, where several Radio Access Technologies (RATs) are collectively controlled and identify the different activities relating to the CRRM issues. Secondly, this paper targets providing a summary of the RRM problem and projected solutions within wireless network. Thirdly, the theoretical elements of the design and the teaching resource management assessment process are clarified by using XML as the data exchange carrier to realize the automatic integration of teaching resources. Fourthly, we have used dSPACE platform, by calling its API function, which then call the subscribe function of dSPACE framework and store the subscription information in the database. Whenever new teaching resources enter the subscribed field, the dSPACE framework will automatically send e-mail to the subscribers. Finally, during the operation of the system, all functions operate normally and have strong security, so as to avoid the illegal theft or leakage of the data about the education system.

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Yuan, Li Na, and Jing Gong. "An Analysis of Large-Scale Wireless Sensor Networks with Energy-Saving Problem." Applied Mechanics and Materials 686 (October 2014): 412–16. http://dx.doi.org/10.4028/www.scientific.net/amm.686.412.

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Energy saving is the nature of the optimal balance between the optimization of performance and energy consumption. Due to the node's mobility of large-scale wireless sensor networks and the depletion of electrical energy causing the failure of communication path and network segmentation mong nodes, and because energy consumption of nodes is mainly its communication, to design the routing with energy saving, low latency, extensibility and improving the fault-tolerance is particularly important. Based on the large-scale wireless sensor networks, mainly through introducing the methods of nonlinear modeling, this paper analyzes the fine-grained mapping between the system of energy consumption and software, builds and optimizes the software model of energy consumption and energy consumption-balance model of service quality, and commits to form an effective energy saving to lay a foundation for construction of low energy consumption of wireless sensor network. Research achievement has significant theoretical and application value in public safety, disaster prevention, ecological and environmental protection, urban management, smart home, intelligent transportation, medical and health care, industrial monitoring, green agriculture and other fields.

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An, Kun, and Jun Qi Yu. "Design of Hazard Installations Monitoring System Based on WSN." Applied Mechanics and Materials 556-562 (May 2014): 3047–51. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3047.

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With the gradually development of wireless sensor network technology, intelligence of hazard monitoring has been promoting. A major hazard sources monitoring system based on wireless sensor network (WSN) is proposed to solve problem of deploying the monitoring system.Compared it with the conventional supervisory control and data acquisition system,monitoring system based on WSN solves the problem of complex wiring, sophisticated maintenance, etc. The hardware platform is composed of IRIS series node and Stargate Netbridge Gateway. The application is developed by nesC based on TinyOS. EKo View that embed in Stargate display and analyze the data. Monitoring information can be explored by enterprise and department of work safety quickly and intuitively via the web.

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Pathak, Parth H., and Rudra Dutta. "A Survey of Network Design Problems and Joint Design Approaches in Wireless Mesh Networks." IEEE Communications Surveys & Tutorials 13, no. 3 (2011): 396–428. http://dx.doi.org/10.1109/surv.2011.060710.00062.

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DAY, KHALED, ABDEREZAK TOUZENE, SAAD HAROUS, and BASSEL ARAFEH. "A RELIABLE MULTIPATH ROUTING PROTOCOL FOR MOBILE AD-HOC NETWORKS: ADAPTING TECHNIQUES FROM INTERCONNECTION NETWORKS." Journal of Interconnection Networks 12, no. 01n02 (March 2011): 19–54. http://dx.doi.org/10.1142/s0219265911002836.

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This paper illustrates how known methods and techniques for solving problems in the area of wired interconnection networks can be adapted to solve problems for wireless mobile networks. We make use of a known construction of disjoint paths in the k-ary n-cube interconnection network to design a reliable multipath routing protocol for mobile ad-hoc networks (MANETs). With the help of node positioning, node mobility is masked and the problem of routing between mobile nodes is transformed to a problem of routing between fixed cells of a logical 3-dimensional grid. Analytical performance evaluation results for the proposed protocol are obtained showing its high reliability. To the best of our knowledge, the proposed protocol is the first multipath source routing protocol for MANETs. We believe other wireless communication problems can be solved using a similar approach based on adapting solutions from wired interconnection networks.

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Wei, Ling, and Yan Ting Guo. "Research on Wireless Sensor Networks Based on Data Acquisition Technology." Applied Mechanics and Materials 443 (October 2013): 482–86. http://dx.doi.org/10.4028/www.scientific.net/amm.443.482.

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This paper focus on and study the data acquisition problems of wireless sensor, use low power MOTE node to design the hardware platform, on this foundation discuss maximum life cycle problem of the wireless sensor network data collection process, use the mathematical description of the method for solving the data flow process, present maximum production cycle analysis method in no data polymerization conditions, further, our experimental results show that our solution. The experiment shows that this scheme is more optimized and the data life cycle of the wireless network has improved greatly.

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Yu, Zhang, Peng Xiaodong, and Liu Feng. "Blocking all Receiving Links of Wireless Sensor Network." International Journal of Online Engineering (iJOE) 13, no. 09 (September 22, 2017): 38. http://dx.doi.org/10.3991/ijoe.v13i09.6957.

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Jamming attack is an effective way to disrupt the communication of adversaries. This paper tries to design methods for blocking all receiving links (BARL) of a wireless sensor network (WSN). Firstly the condition for blocking a receiving link is derived and AJRL (area for jamming a receiving link) is defined. Then BARL jamming method for a network with an unlimited JSR parameter is discussed. Finally, under a limited JSR parameter, BARL jamming attack problem on several networks types, i.e. JN (N,≥N), JN(2,1), JN(3,1)and JN(N,≥2, are discussed; and BARL jamming methods are presented respectively. The methods are proved mathematically

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Xu, Jia, Chuan Ping Wang, Hua Dai, Da Qiang Zhang, and Jing Jie Yu. "Designing Constrained Trajectory Based on Maximizing Energy Reduction in Large-Scale Wireless Sensor Networks." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/801831.

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TheMobile Sinkbased data collection in wireless sensor network can reduce energy consumption efficiently and has been a new data collection paradigm. In this paper, we focus on exploring polynomial algorithm to compute the constrained trajectory of theMobile Sinkfor data collection. We first present a universal system model for designing constrained trajectory in large-scale wireless sensor networks and formulate the problem as theMaximizing Energy Reduction for Constrained Trajectory(MERC) problem. We show that the MERC problem is NP-hard and design an approximation algorithm (CTMER), which follows the greedy approach to design the movement trajectory of theMobile Sinkby maximizing theeffective average energy reduction. Through both rigid theoretical analysis and extensive simulations, we demonstrate that our algorithm achieves high computation efficiency and is superior to otherMobile Sinkbased data collection methods in aspects of energy consumption and network lifetime.

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Xiu, De Bin, Qi Sun, Chun Zhi Ge, Yi Luo, Yuan Ting Du, Ya Dong Wang, and Yun Bo Shi. "Design of Mobile Meteorological Monitor Based on Wireless Sensor Network." Applied Mechanics and Materials 303-306 (February 2013): 938–44. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.938.

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In order to monitor meteorological parameters such as temperature, humidity, pressure, wind speed and wind direction, a meteorological monitor system of wireless sensor networks was analyzed, which was based on the combination of Zigbee and GPRS communication technology. Short-distance data transmission was achieved through sensors local-area network completed by Zigbee technology, and long-distance data communication was achieved through GPRS technology. Terminal devices distributed in environment collected real-time data gained by sensors, and sent the data to the base station via Zigbee communication technology. The data was received and processed by Mobile base station and base stations choose to use GPRS or Ethernet technology access to Internet and transferred data to the monitoring center. Experimental results show that: temperature accuracy can reach 0.2°C, humidity accuracy can achieve 3.0%RH, and the pressure accuracy is up to 1.5mbar. The Meteorological data is real-time transmitted and the system solves the problem of data loss.

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Rozaki, Eleni. "Financial Predictions Using Cost Sensitive Neural Networks for Multi-Class Learning." Advanced Engineering Forum 16 (April 2016): 104–16. http://dx.doi.org/10.4028/www.scientific.net/aef.16.104.

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The interest in the localisation of wireless sensor networks has grown in recent years. A variety of machine-learning methods have been proposed in recent years to improve the optimisation of the complex behaviour of wireless networks. Network administrators have found that traditional classification algorithms may be limited with imbalanced datasets. In fact, the problem of imbalanced data learning has received particular interest. The purpose of this study was to examine design modifications to neural networks in order to address the problem of cost optimisation decisions and financial predictions. The goal was to compare four learning-based techniques using cost-sensitive neural network ensemble for multiclass imbalance data learning. The problem is formulated as a combinatorial cost optimisation in terms of minimising the cost using meta-learning classification rules for Naïve Bayes, J48, Multilayer Perceptions, and Radial Basis Function models. With these models, optimisation faults and cost evaluations for network training are considered.

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Omar, Normaliza, Naimah Yaakob, Rohani S. M. Farook, Zulkifli Husin, Aini Syuhada Md Zain, Mohamed Elshaikh, and Aznor Hanah Abdul Halim. "A Network Coding-Aware Directional Broadcast Routing Scheme for VANET." MATEC Web of Conferences 150 (2018): 06012. http://dx.doi.org/10.1051/matecconf/201815006012.

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Recent technological advancements in wireless communications are fundamentally changing the manner by which devices communicates with one another. Modern wireless devices build networks on their own and aid each other in passing information to any device in the network. The aim of this research is to design and develop a robust routing protocol using network coding technique for Vehicular ad hoc networks (VANET). The purpose of the protocol is to disseminate vehicular traffic to the vehicles approaching the problem area, rather than those leaving the problem area. The designed protocol during the research will be more robust, reliable, and efficient with topology change. In this research, network coding and geographical routing models will be used to develop network coding based VANET routing protocol for alerting vehicles approaching the accident area and emergency message dissemination. The network coding model assumed will serve to increase throughput, in this sense reducing packet loss which will provide a robust broadcast routing protocol.

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Journal articles on the topic 'Wireless network design problem'

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