Journal articles: 'Ubiquitous sensor network'

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Toliupa, Sergey, Yuriy Kravchenko, and Aleksander Trush. "ORGANIZATION OF IMPLEMENTATION OF UBIQUITOUS SENSOR NETWORKS." Informatics Control Measurement in Economy and Environment Protection 8, no. 1 (2018): 36–39. http://dx.doi.org/10.5604/01.3001.0010.8643.

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The article deals with the implementation of one of the most promising technologies of the 21st century – the permeable sensor networks of the USN. The features, architecture, organization and routing algorithms of sensory networks are described. It is determined that further improvement of the work of such networks requires standardization of the development process and implementation process. USN's Vertical Sensor Networks is one of the most promising technologies of the 21st century. Cheap and "smart" sensors, in large quantities combined into a wireless network connected to the public communications network, today provide an unprecedentedly wide range of control and management services for buildings, businesses, cars, and so forth. USN networks, depending on the type of sensors, can be deployed on the ground, in the air, under and over water, in buildings and, finally, on the skin and inside living organisms, including humans. They are also widely used in such important areas as military affairs, crisis and emergency management, and the fight against terrorism.

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CHANG, K., and Y. J. YOON. "Antennas for Ubiquitous Sensor Network." IEICE Transactions on Communications E91-B, no. 6 (2008): 1697–704. http://dx.doi.org/10.1093/ietcom/e91-b.6.1697.

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Ji, Lianying, Tongbi Kang, Lingtong Tian, Meijun Xiong, Wendong Xiao, and Jiankang Wu. "Body Sensor Network for Ubiquitous Health Monitoring." Unmanned Systems 03, no. 02 (2015): 163–69. http://dx.doi.org/10.1142/s2301385015500107.

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A body sensor network system has been developed for ubiquitous health monitoring of multiple mobile subjects, which is referred to as UbiHealth. On the body, there are micro-sensors to capture physiological signals of electrocardiography (ECG), blood pressure, respiration and temperature, as well as context information of activity and position. Sensors are coordinated by an on-body gateway, where data are collected, pre-processed and wirelessly sent to the server. The server receives, stores and processes signals from multiple gateways, providing overview of those subjects on a local map, and real-time health status of individual subjects. The application scenarios include, for example, health monitoring for rescue team members in a hazard, and elderly health monitoring in a community.

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RAHMADYA, BUDI, MIRA SISKA, and FAJRIL AKBAR. "Ubiquitous Sensor Networks: Efisiensi Sistem Kontrol Cairan Infus Pasien Rawat Inap." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 5, no. 2 (2018): 232. http://dx.doi.org/10.26760/elkomika.v5i2.232.

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ABSTRAKPenelitian ini membahas tentang sistem kontrol cairan infus pada pasien dengan memanfaatkan teknologi sensor networks dan mikrokontroler arduino uno. Sensor yang digunakan adalah sensor Ultrasonik HC-SR04 yang difungsikan untuk mendeteksi sisa cairan infus. Data yang terbaca oleh sensor dikirimkan menggunakan jaringan nirkabel/wireless dari Transmitter (Tx) di ruang pasien ke Receiver (Rx) di ruang perawat dengan menggunakan modul wireless Xbee S2. Efisiensi dari sistem kontrol yang dibuat yaitu ketika sensor mendeteksi cairan infus mendekati batas habis cairan yang telah ditentukan maka motor yang berada pada selang infus akan berfungsi untuk menutup aliran cairan infus pada selang. Dari simulasi yang dilakukan, didapatkan hasil presentasi error ketinggian cairan infus sebesar 1.96% dan presentasi error volume cairan sebesar 2.16%. Performa dari modul wireless Xbee S2 juga di ujicoba dengan mengirimkan data dari Xbee end device ke Xbee coordinator dalam penelitian ini. Kata kunci: Infus, Sensor Networks, Sensor Ultrasonik HC-SR04, Xbee S2 dan Mikrokontroler Arduino Uno.ABSTRACTThis research discusses about intravenous fluids Control System on Patients, utilizing sensor network technology and Arduino Uno microcontroller. We used HC-SR04 Ultrasonic sensors to detect the review time intravenous fluids. The sensors data is readable by transmitted using wireless network/wireless from Transmitter (Tx) in Patients Into Space Receiver (Rx) at nurse room with using XBee wireless device S2. The efficiency of the control system were made, namely when the sensor detects the approaching limits of intravenous fluids discharged liquid that has been determined then the motor that was on the infus line will serve to close the infusion fluid flow in the line. In our simulations we found, the findings obtained Presentation intravenous fluids altitude error is 1.96% and presentations volume Liquid error is 2.16%. The performance of network devices XBee S2 have been tried, wireless data from the XBee end devices coordinator in this research. Keywords: Infusion, Sensor Networks, HC-SR04 Ultrasonic Sensor, XBee S2 And Microcontroller Arduino Uno.

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Kim, Joohwan, Doohee Nam, and Sungjoon Baek. "Bird's-Eye View Service under Ubiquitous Transportation Sensor Network Environments." Journal of the Institute of Webcasting, Internet and Telecommunication 13, no. 2 (2013): 225–31. http://dx.doi.org/10.7236/jiibc.2013.13.2.225.

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Guo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.

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With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.

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Mayton, Brian, Gershon Dublon, Spencer Russell, et al. "The Networked Sensory Landscape: Capturing and Experiencing Ecological Change Across Scales." Presence: Teleoperators and Virtual Environments 26, no. 2 (2017): 182–209. http://dx.doi.org/10.1162/pres_a_00292.

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What role will ubiquitous sensing play in our understanding and experience of ecology in the future? What opportunities are created by weaving a continuously sampling, geographically dense web of sensors into the natural environment, from the ground up? In this article, we explore these questions holistically, and present our work on an environmental sensor network designed to support a diverse array of applications, interpretations, and artistic expressions, from primary ecological research to musical composition. Over the past four years, we have been incorporating our ubiquitous sensing framework into the design and implementation of a large-scale wetland restoration, creating a broad canvas for creative exploration at the landscape scale. The projects we present here span the development and wide deployment of custom sensor node hardware, novel web services for providing real-time sensor data to end user applications, public-facing user interfaces for open-ended exploration of the data, as well as more radical UI modalities, through unmanned aerial vehicles, virtual and augmented reality, and wearable devices for sensory augmentation. From this work, we distill the Networked Sensory Landscape, a vision for the intersection of ubiquitous computing and environmental restoration. Sensor network technologies and novel approaches to interaction promise to reshape presence, opening up sensorial connections to ecological processes across spatial and temporal scales.

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Moosavi, S. M. R., and A. Sadeghi-Niaraki. "A SURVEY OF SMART ELECTRICAL BOARDS IN UBIQUITOUS SENSOR NETWORKS FOR GEOMATICS APPLICATIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 503–7. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-503-2015.

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Nowadays more advanced sensor networks in various fields are developed. There are lots of online sensors spreading around the world. Sensor networks have been used in Geospatial Information Systems (GIS) since sensor networks have expanded. Health monitoring, environmental monitoring, traffic monitoring, etc, are the examples of its applications in Geomatics. Sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements that gives an administrator the ability to instrument, observe, and react to events and phenomena in a specified environment. This paper describes about development boards which can be used in sensor networks and their applications in Geomatics and their role in wireless sensor networks and also a comparison between various types of boards. Boards that are discussed in this paper are Arduino, Raspberry Pi, Beagle board, Cubieboard. The Boards because of their great potential are also known as single board computers. This paper is organized in four phases: First, Reviewing on ubiquitous computing and sensor networks. Second, introducing of some electrical boards. Then, defining some criterions for comparison. Finally, comparing the Ubiquitous boards.

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Jung, Hoon, Jung-Yoon Kim, Ki-Tae Chang, and Chun-Suk Jung. "Slope Movement Detection using Ubiquitous Sensor Network." Journal of Electrical Engineering and Technology 4, no. 1 (2009): 143–48. http://dx.doi.org/10.5370/jeet.2009.4.1.143.

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Shin, Jae Min, Sang Yong Kim, Gwang Hee Kim, Min Gu Jung, and Dae Woong Shin. "Ubiquitous Sensor Network for Construction Site Monitoring." Advanced Materials Research 919-921 (April 2014): 388–91. http://dx.doi.org/10.4028/www.scientific.net/amr.919-921.388.

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The importance of construction monitoring trend is required rational method to take health and safety and effective maintenance control from uncertainity and associated risks. Thus, timely field monitoring can overcome the gap between the prediction and real situation through the analyzing validity for the construction. This study suggests automated monitoring system with three kinds of communication methods to achieve effective operation of the system. The example of case study helps to easily understand for practical application with use of the mobile phones.

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Kim, Changyoon, Hyoungkwan Kim, Jeoungpil Ryu, and Changwan Kim. "Ubiquitous Sensor Network for Construction Material Monitoring." Journal of Construction Engineering and Management 137, no. 2 (2011): 158–65. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000257.

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Chung, Wan-Young, Su-Lin Koay, Sang-Joong Jung, and Tae-Ha Kwon. "PACKET TRAFFIC MANAGEMENT IN UBIQUITOUS HEALTHCARE SYSTEM." Biomedical Engineering: Applications, Basis and Communications 24, no. 02 (2012): 139–45. http://dx.doi.org/10.4015/s1016237212500135.

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Recent advances in wireless sensor network (WSN) envisaging ubiquitous healthcare system that simplifies the monitoring and treatment of patients. WSN also pose several challenges to ubiquitous healthcare applications. As healthcare application commonly handle two different types of data such as wave-like data of ECG and linear waveform-independent data of body temperature, blood pressure and oxygen content. As wave-like data requires a higher sampling rate than waveform-independent data, the transmission of wave-like data in WSN causes traffic congestion and, consequently, loss of vital signal in transmission. With the increasing number of sensor nodes involved in the WSN field, network congestion issue is rapidly coming known as a tangible issue in healthcare system that must be addressed in order to maintain data reliability. Sensor nodes have very limited computational resources due to its energy consumption. To reduce traffics in WSN communication, the biomedical data are sent when they had very serious problems. The collaboration among sensors through task mapping based in-network processing is adapted to achieve higher processing power and reduce traffics in WSN. System analysis shows that the data packet loss in the ubiquitous healthcare system is dramatically reduced after the implementation of this process. By adapting fall detection, not only the numbers of packets received by the base station are greatly reduced but also the traffic overload problems in WSN are also resolved.

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Kim, Marie, Jun Wook Lee, and Hoy Chan Bang. "Research on Middleware in Ubiquitious Sensor Network Envionment." Advanced Materials Research 452-453 (January 2012): 927–31. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.927.

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IT infrastructure is evolving in a way to use physical information for providing context-aware services to the users and if necessary, to put some actions on the physical world for reacting appropriately based on perception on the physical world. Ubiquitous sensor network (USN) environment consists of various types of sensors and actuators to perceive and communicate with physical world. USN middleware is the system which collects physical information from various sensors and controls physical world with heterogeneous actuators on behalf of USN services. ETRI has been researching and developing USN middleware and this paper intends to introduce the results and the ongoing project.

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Moon, Chongchun, Jaehyun Park, and Yoo-Sung Kim. "Tree-based Deployment Algorithm of Mobile Sensors in Ubiquitous Sensor Network." IFAC Proceedings Volumes 41, no. 2 (2008): 14982–86. http://dx.doi.org/10.3182/20080706-5-kr-1001.02535.

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Hu, Wei, Wenhui Yao, Yawei Hu, and Huanhao Li. "Selection of Cluster Heads for Wireless Sensor Network in Ubiquitous Power Internet of Things." International Journal of Computers Communications & Control 14, no. 3 (2019): 344–58. http://dx.doi.org/10.15837/ijccc.2019.3.3573.

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This paper designs a selection algorithm of cluster heads (CHs) in wireless sensor network (WSN) under the ubiquitous power Internet of Things (UPIoT), aiming to solve the network failure caused by premature death of WSN sensors and overcome the imbalance in energy consumption of sensors. The setting of the cluster head node helps to reduce the energy consumption of the nodes in the network, so the choice of cluster head is very important. The author firstly explains the low energy adaptive clustering hierarchy (LEACH) and the distance and energy based advanced LEACH (DEAL) protocol. Compared with the LEACH, the DEAL considers the remaining nodal energy and the sensor-sink distance. On this basis, the selectivity function-based CH selection (SF-CHs) algorithm was put forward to select CHs and optimize the clustering. Specifically, the choice of CHs was optimized by a selectivity function, which was established based on the remaining energy, number of neighbors, motion velocity and transmission environment of sensors. Meanwhile, a clustering function was constructed to optimize the clustering, eliminating extremely large or small clusters.Finally, the simulation proves that the DEAL protocol is more conducive to prolonging the life cycle of the sensor network. The SF-CHs algorithm can reduce the residual energy variance of nodes in the network, and the network failure time is later, which provides a way to improve the stability of the network and reduce energy loss.

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Kim, Jin-whan. "A Case Study on Ubiquitous Sensor Network Programming." International Journal of Multimedia and Ubiquitous Engineering 10, no. 1 (2015): 119–26. http://dx.doi.org/10.14257/ijmue.2015.10.1.11.

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Jo, Byung Wan, Jung Hoon Park, Kwang Won Yoon, and Heoun Kim. "Development of Ubiquitous Sensor Network Intelligent Bridge System." Journal of the Korea institute for structural maintenance and inspection 16, no. 1 (2012): 120–30. http://dx.doi.org/10.11112/jksmi.2012.16.1.120.

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Saito, Hiroshi, Osamu Kagami, Masahiro Umehira, and Yuichi Kado. "Wide area ubiquitous network: the network operator's view of a sensor network." IEEE Communications Magazine 46, no. 12 (2008): 112–20. http://dx.doi.org/10.1109/mcom.2008.4689217.

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Cao, Li, Zhengzong Wang, and Yinggao Yue. "Analysis and Prospect of the Application of Wireless Sensor Networks in Ubiquitous Power Internet of Things." Computational Intelligence and Neuroscience 2022 (June 15, 2022): 1–19. http://dx.doi.org/10.1155/2022/9004942.

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With the rapid development of the economy and society, the low efficiency and high loss of the traditional power grid can no longer meet the growing social demand, and the power grid market is facing a reform. Smart grid, as a next-generation power system, it can effectively improve the performance of traditional power grids. The ubiquitous power Internet of Things (UPIOT) replaces the traditional grids with efficient, safe, reliable, and flexible new grids, improves the utilization efficiency of the grid, reduces the loss of the power grid in the transmission process, and can meet the needs of different types of markets and users. As an advanced information acquisition and processing technology, wireless sensor networks have been widely used in medical, industrial, agricultural, commercial, and public management fields. It is an important means to promote future economic development and build a harmonious society. In the power system, wireless sensor network technology can be widely used in many fields such as line fault location, real-time monitoring, smart meter reading, and relay protection. In this paper, the basic concepts and overall architecture of ubiquitous power Internet of Things are summarized. Then, we summarize the research status of the wireless sensor network in smart grid, including power equipment, line monitoring, smart grid wireless automatic meter reading, distribution network relay protection, power assets life-cycle management, power grid fault location, and power grid fault diagnosis. In view of the technical characteristics of wireless sensor networks, combined with the production links of power systems, the application framework of wireless sensor network technology in the power systems is constructed. The application of wireless sensor networks is prospected from the aspects of network development of relay protection, application research of smart substation, application research of power grid catastrophe, security protection of power system, and deep-seated ubiquitous power Internet of Things.

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O'HARE, GREGORY M. P., CONOR MULDOON, MICHAEL J. O'GRADY, REM W. COLLIER, OLGA MURDOCH, and DOMINIC CARR. "SENSOR WEB INTERACTION." International Journal on Artificial Intelligence Tools 21, no. 02 (2012): 1240006. http://dx.doi.org/10.1142/s0218213012400064.

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Ubiquitous sensing fuses the concepts of intelligent systems with ubiquitous computing in the development of novel Sensor Web applications, whereby the interaction of multiple disparate autonomous artefacts is a key requirement. In this paper, we present SIXTH, which is a middleware infrastructure for Ubiquitous Sensing that facilitates, and supports, the development and deployment of Sensor Web applications. SIXTH has been designed to be extensible, with provisions for user definable data retention policies, custom sensor data representations, and custom sensor node representations, whilst still providing a rich set of default behaviours. Within SIXTH, support is provided for the development and interaction of applications that incorporate both physical and cyber (virtual server side) sensors. With a view to supporting intelligent, in network, interaction policies, whereby sensor nodes must negotiate and coordinate their behaviour, the system has been designed to operate in conjunction with Agent Factory Micro Edition (AFME). AFME is a minimised footprint intelligent agent platform designed for resource constrained devices. It is based on the standard Agent Factory platform, which was developed for desktop machines, and is representative of a class of agent systems, which are referred to as Agent Oriented Programming frameworks. The paper discusses a ubiquitous mapping application that was developed using the middleware.

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Lu, Bing, Miao Jin, Xiwen Chen, Wei Zhou, Gaoning Nie, and Quan Wang. "Rate Control Optimization Algorithm of Ubiquitous Power Sensor Network Tester Based on Multimedia." Wireless Communications and Mobile Computing 2022 (February 12, 2022): 1–15. http://dx.doi.org/10.1155/2022/8034131.

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With more and more video application scenarios and increasing complexity, the popularization of multimedia information and the urgent need to update wireless sensor networks have led to the emergence and development of wireless multimedia sensor networks. This paper focuses on the rate control optimization algorithm of multimedia-based ubiquitous power sensor network, which is mainly studied from three aspects: constructing algorithm verification platform based on multimedia technology, performance analysis, and optimization of rate control optimization algorithm based on multimedia technology. An algorithm verification platform is established based on multimedia technology. This article uses a scalable video coding method to design a client-driven scalable video transmission system. The simulation results show that the algorithm can effectively improve the video quality. The algorithm of rate control based on multimedia technology is proposed. A reliable multipath routing algorithm based on AODV is proposed. Based on the energy balance algorithm, the node-independent routing mechanism and link quality estimation model are introduced. An independent and reliable active/standby communication link to the node of the destination node is established. Linux, the full name of GNU/Linux, is a free-to-use and freely disseminated Unix-like operating system. It is a POSIX-based multiuser, multitasking, multithreaded, and multi-CPU operating system. With the development of the Internet, Linux has gained support from software enthusiasts, organizations, and companies all over the world. In addition to maintaining a strong momentum of development in servers, it has made considerable progress in personal computers and embedded systems. Under the Linux platform, a large number of tests are performed and the performance of the control code rate is analyzed. The so-called sensor network is a distributed intelligent network system that is composed of a large number of small sensor nodes with wireless communication and computing capabilities deployed in the active area through a self-organizing method that can autonomously complete designated tasks according to the environment. The distance between the nodes of the sensor network is very short, and the multihop wireless communication method is generally used for communication. The sensor network can run in an independent environment, or it can be connected to the Internet through a gateway so that users can access it remotely. It is concluded that ABR is the most suitable rate control algorithm for video transmission. According to the CQP experiment results, the QP value set in the improved ABR algorithm is at most 40; the security from the construction of the ubiquitous power sensor network to the final monitoring data collection and upload process is verified by simulating the hypothesis attacks and faults. It is proved that the construction of ubiquitous power sensor network can reduce the energy consumption and delay of monitoring data collection and verify the superiority of constructing ubiquitous power sensor network.

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Varun, Rajesh Kumar, Rakesh C. Gangwar, Omprakash Kaiwartya, and Geetika Aggarwal. "Energy-Efficient Routing Using Fuzzy Neural Network in Wireless Sensor Networks." Wireless Communications and Mobile Computing 2021 (August 3, 2021): 1–13. http://dx.doi.org/10.1155/2021/5113591.

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In wireless sensor networks, energy is a precious resource that should be utilized wisely to improve its life. Uneven distribution of load over sensor devices is also the reason for the depletion of energy that can cause interruptions in network operations as well. For the next generation’s ubiquitous sensor networks, a single artificial intelligence methodology is not able to resolve the issue of energy and load. Therefore, this paper proposes an energy-efficient routing using a fuzzy neural network (ERFN) to minimize the energy consumption while fairly equalizing energy consumption among sensors thus as to prolong the lifetime of the WSN. The algorithm utilizes fuzzy logic and neural network concepts for the intelligent selection of cluster head (CH) that will precisely consume equal energy of the sensors. In this work, fuzzy rules, sets, and membership functions are developed to make decisions regarding next-hop selection based on the total residual energy, link quality, and forward progress towards the sink. The developed algorithm ERFN proofs its efficiency as compared to the state-of-the-art algorithms concerning the number of alive nodes, percentage of dead nodes, average energy decay, and standard deviation of residual energy.

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Carreras-Coch, Anna, Joan Navarro, Carles Sans, and Agustín Zaballos. "Communication Technologies in Emergency Situations." Electronics 11, no. 7 (2022): 1155. http://dx.doi.org/10.3390/electronics11071155.

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Emergency situations such as wildfires, water floods, or even terrorist attacks require continuous communication between the coordination centres, the several on-the-field teams, and their respective devices to properly address the adverse circumstances. From a technological point of view, this can be best seen as a live Ubiquitous Sensor Network—composed of human beings (e.g., first responders, victims) and devices (e.g., drones, environmental sensors, radios)—with stringent and special communication requirements in terms of flexibility, mobility, reliability, bandwidth, heterogeneity, and speed of deployment. However, for this specific use case, most of the already deployed and well-known communication technologies (e.g., satellite, 4G/5G) might become unusable and hard to repair due to the associated effects of the disaster itself. The purpose of this paper is (1) to review the emergency communications challenges, (2) to analyse the existing surveys on technologies for emergency situations, (3) to conduct a more updated, extensive, and systematic review of the emergency communications’ technologies, and (4) to propose a heterogeneous communication architecture able to communicate between moving agents in harsh conditions. The proposed approach is conceived to link the relocating agents that constitute a Ubiquitous Sensor Network spanning a large-scale area (i.e., hundreds of square kilometres) by combining Near Vertical Incidence Skywave technologies with Drone-Based Wireless Mesh Networks. The conclusions derived from this research aim to set up the fundamentals of a rapidly deployable Emergency Communications System inspired by the Ubiquitous Sensor Network paradigm.

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Li, X., and Y. Y. Yu. "Application of Ubiquitous Sensor Network in Collection and Analysis of CNC Machine Tool Processing Status Information." Key Engineering Materials 455 (December 2010): 621–24. http://dx.doi.org/10.4028/www.scientific.net/kem.455.621.

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Because of the practical requirement of real-time collection and analysis of CNC machine tool processing status information, we discuss the necessity and feasibility of applying ubiquitous sensor network(USN) in CNC machine tools by analyzing the characteristics of ubiquitous sensor network and the development trend of CNC machine tools, and application of machine tool thermal error compensation based on USN is presented.

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Ortmann, Steffen, Michael Maaser, and Peter Langendoerfer. "Self-Adapting Event Configuration in Ubiquitous Wireless Sensor Networks." International Journal of Adaptive, Resilient and Autonomic Systems 1, no. 2 (2010): 46–63. http://dx.doi.org/10.4018/jaras.2010040104.

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Wireless Sensor Networks are the key-enabler for low cost ubiquitous applications in the area of homeland security, health-care, and environmental monitoring. A necessary prerequisite is reliable and efficient event detection in spite of sudden failures and environmental changes. Due to the fact that the sensors need to be low cost, they have only scarce resources leading to a certain level of failures of sensor nodes or sensing devices attached to the nodes. Available fault tolerant solutions are mainly customized approaches that revealed several shortcomings, particularly in adaptability and energy efficiency. The authors present a complete event detection concept including all necessary steps from formal event definition to autonomous device configuration. It features an event definition language that allows defining complex events as well as enhance the reliability by tailor-made voting schemes and application constraints. Based on that, this paper introduces a novel approach for self-adapting on-node and in-network processing, called Event Decision Tree (EDT). EDT autonomously adapts to available resources and environmental conditions, even though it requires to (re-)organize collaboration between neighboring nodes for evaluation. The authors’ approach achieves fine-grained event-related fault tolerance with configurable adaptation rate while enhancing maintainability and energy efficiency.

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Oguchi, Kimio, and Ryoya Ozawa. "Human Presence Recognition in a Closed Space by using Cost-effective CO2 Sensor and the Information Gain Processing Method." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 3 (2017): 549. http://dx.doi.org/10.11591/ijeecs.v5.i3.pp549-555.

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<p>The recent rapid progress in ICT technologies such as smart/intelligent sensor devices, broadband/ubiquitous networks, and Internet of everything (IoT) has advanced the penetration of sensor networks and their applications. The requirements of human daily life, security, energy efficiency, safety, comfort, and ecological, can be achieved with the help of these networks and applications. Traditionally, if we want some information on, for example, environment status, a variety of dedicated sensors is needed. This will increase the number of sensors installed and thus system cost, sensor data traffic loads, and installation difficulty. Therefore, we need to find redundancies in the captured information or interpret the semantics captured by non-dedicated sensors to reduce sensor network overheads. This paper clarifies the feasibility of recognizing human presence in a space by processing information captured by other than dedicated sensors. It proposes a method and implements it as a cost-effective prototype sensor network for a university library. This method processes CO2 concentration, originally designed to check environment status. In the experiment, training data is captured with none, one, or two subjects. The information gain (IG) method is applied to the resulting data, to set thresholds and thus judge the number of people. Human presence (none, one or two people) is accurately recognized from the CO2 concentration data. The experiments clarify that a CO2 sensor in set in a small room to check environment status can recognize the number of humans in the room with more than 70 % accuracy. This eliminates the need for an extra sensor, which reduces sensor network cost.</p>

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Qi, Wei Min, and Jie Xiao. "A Novel Method for Data Calibration in Wireless Sensor Networks." Applied Mechanics and Materials 347-350 (August 2013): 1068–73. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1068.

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In order to provide efficient and suitable services for users in a ubiquitous computing environment, many kinds of context information technologies have been researched. Wireless sensor networks are among the most popular technologies providing such information. Therefore, it is very important to guarantee the reliability of sensor data gathered from wireless sensor networks. However there are several factors associated with faulty sensor readings which make sensor readings unreliable. The research put forward classifying faulty sensor readings into sensor faults and measurement errors, then propose a novel in-network data calibration algorithm which includes adaptive fault checking, measurement error elimination and data refinement. The proposed algorithm eliminates faulty readings as well as refines normal sensor readings and increase reliability. The simulation study shows that the in-network data calibration algorithm is highly reliable and its network overhead is very low compared to previous works.

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Sharif, Mohammad, and Abolghasem Sadeghi-Niaraki. "Ubiquitous sensor network simulation and emulation environments: A survey." Journal of Network and Computer Applications 93 (September 2017): 150–81. http://dx.doi.org/10.1016/j.jnca.2017.05.009.

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Mohammad, Sharif, and Sadeghi-Niaraki Abolghasem. "Ubiquitous sensor network simulation and emulation environments: A survey." Journal of Network and Computer Applications Vol. 93, September 2017 (2017): 150–81. https://doi.org/10.1016/j.jnca.2017.05.009.

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Recent human effort has been directed at expanding pervasive smart environments. For this, ubiquitous computing technology is introduced to provide all users with any service, anytime, anywhere, with any device, and under any network. However, high cost, long time consumption, extensive effort, and in some cases irrevocability are the main challenges and difficulties for developing ubiquitous systems. Therefore, one solution is to initially simulate, analyze, and validate practices prior to deploying sensing and computational devices in the real world. Simulation, as a performance evaluation technique, has attracted attentions due to its speed, cost-effectiveness, repeatability, scalability, flexibility, and ease of implementation. Moreover, emulation, as a hybrid method, not only offers most simulation advantages but also benefits from tight control of implementation, as well as a certain degree of realistic results. Both simulators and emulators are significant tools for enhancing the understanding of ubiquitous sensor networks (USNs) through testing and analyzing several scenarios prior to actual sensor placements. In this regard, this paper surveys 130 simulation and emulation environments and frameworks, which were originally designed and adapted for USN. Of these 130, the 22 that have been widely used, regularly updated, and well supported by their developers are compared based on multifarious criteria. Finally, several studies that had favorably compared the performance of simulators and/or emulators are examined. We believe the present research findings will be helpful for students and researchers to pick an appropriate simulator/emulator, and for software developers and those who are keen on producing their own environment.

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Hu, Wei, Huanhao Li, Wenhui Yao, and Yawei Hu. "Energy Optimization for WSN in Ubiquitous Power Internet of Things." International Journal of Computers Communications & Control 14, no. 4 (2019): 503–17. http://dx.doi.org/10.15837/ijccc.2019.4.3572.

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This paper attempts to solve the problems of uneven energy consumption and premature death of nodes in the traditional routing algorithm of rechargeable wireless sensor network in the ubiquitous power Internet of things. Under the application environment of the UPIoT, a multipath routing algorithm and an opportunistic routing algorithm were put forward to optimize the network energy and ensure the success of information transmission. Inspired by the electromagnetic propagation theory, the author constructed a charging model for a single node in the wireless sensor network (WSN). On this basis, the network energy optimization problem was transformed into the network lifecycle problem, considering the energy consumption of wireless sensor nodes. Meanwhile, the traffic of each link was computed through linear programming to guide the distribution of data traffic in the network. Finally, an energy optimization algorithm was proposed based on opportunistic routing, in a more realistic low power mode. The experimental results show that the two proposed algorithms achieved better energy efficiency, network lifecycle and network reliability than the shortest path routing (SPR) and the expected duty-cycled wakeups minimal routing (EDC). The research findings provide a reference for the data transmission of UPIoT nodes.

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Karimi, Maryam, Reza Javidan, and Manijeh Keshtgari. "A New Method for Intelligent Message Network Management in Ubiquitous Sensor Networks." Computer Engineering and Applications Journal 3, no. 3 (2014): 139–46. http://dx.doi.org/10.18495/comengapp.v3i3.69.

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Ubiquitous Sensor Network (USN) computing is a useful technology forautonomic integrating in different environments which can be available anywhere.Managing USN plays an important role on the availability of nodes and paths. Inorder to manage nodes there is a cyclic route starts from manager, passing nodes,and come back to manager as feedback. In this paper, a new, self-optimizing methodpresented for finding this cyclic path by combining epsilon greedy and geneticalgorithm and then it is compared with other well-known methods in terms of cost ofthe route they find and the power consumption. The results show that the route thatis found by our new method costs at least 53% less than other methods. However insome cases, it uses 32% more energy for finding the route which can be compensatein traversing the shorter route. The overall simulation results in prototype data showthe effectiveness of the proposed method.

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Nakazawa, Jin, and Hideyuki Tokuda. "A Three-Tier Architecture for User-Centric Ubiquitous Networked Sensing." ISRN Communications and Networking 2012 (May 22, 2012): 1–11. http://dx.doi.org/10.5402/2012/637134.

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In a sensor network, sensor data are usually forwarded from sensor nodes to a database. This tight coupling between the nodes and the database has been complicating user-centric applications that traverse multiple different sensor networks. To break this coupling, thus enabling user-centric applications, we propose a three-tier architecture for ubiquitous networked sensing. Its major feature is that it contains the “core” device, which is assumed to be a terminal held by users between sensor nodes and sensor databases. This architecture supports the sensor data directly transmitted to and consumed by the core device, in addition to the classic ones that are transmitted to the sensor database first, and downloaded to the core. The major contribution of this paper are the following three-fold. First, we clarify the architecture itself. Researchers can leverage the architecture as the baseline of their development. Second, we show two types of prototype implementations of the core device. Industry is allowed to develop a new product for practical use of ambient sensing. Finally, we show a range of applications that are enabled by the architecture and indicate issues that need to be addressed for further investigation.

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Karmakar, Koushik, Sohail Saif, Suparna Biswas, and Sarmistha Neogy. "A WBAN-Based Framework for Health Condition Monitoring and Faulty Sensor Node Detection Applying ANN." International Journal of Biomedical and Clinical Engineering 10, no. 2 (2021): 44–65. http://dx.doi.org/10.4018/ijbce.2021070104.

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Remote health monitoring framework using wireless body area network with ubiquitous support is gaining popularity. However, faulty sensor data may prove to be critical. Hence, faulty sensor detection is necessary in sensor-based health monitoring. In this paper, an artificial neural network (ANN)-based framework for learning about health condition of patients as well as fault detection in the sensors is proposed. This experiment is done based on human cardiac condition monitoring setup. Related physiological parameters have been collected using wearable sensors from different people. These data are then analyzed using ANN for health condition identification and faulty node detection. Libelium MySignals HW (eHealth Medical Development Shield for Arduino) v2 sensors such as ECG sensor, pulse oximeter sensor, and body temperature sensor have been used for data collection and ARDINO UNO R3 as microcontroller device. ANN method detects faulty sensor data with classification accuracy of 98%. Experimental results and analyses are given to prove the claim.

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Kumar, Ajeet. "ENHANCE NETWORK LIFETIME WIRELESS SENSOR WITH MULTIPLE SINK VERSATILITY." International Journal of Computer Science and Mobile Computing 10, no. 2 (2021): 86–93. http://dx.doi.org/10.47760/ijcsmc.2021.v10i02.014.

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Wireless Sensor Networks (WNS) is essential for ubiquitous computing. Sensor networks with variable sensing capabilities have seen applications in a broad range of regulators where correlations with the physical environment are relevant. Thus, the efforts have been made in attempt to detect atmosphere mainly by investigating sensor networks that integrates single wireless collector (i.e., sink). Many examples of WSNs' use are illustrated. It also has a variety of daunting problems such as topology parsing, routing and power management. The research focuses on solution to energy loss in WSN. This is a technical overview of a sensor system and a wireless network. There are still several challenges facing the WSNs.

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Borges, Vijay. "Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems." Open Computer Science 6, no. 1 (2016): 64–78. http://dx.doi.org/10.1515/comp-2016-0003.

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AbstractInternet-of-Things (IoT) is the latest buzzword, havings its origins in the erstwhile Sensor Networks. Sensor Networks produce a large amount of data. According to the needs this data requires to be processed, delivered and accessed. This processed data when made available with the physical device location, user preferences, time constraints; generically called as context-awareness; is widely referred to as the core function for ubiquitous systems. To our best knowledge there is lack of analysis of context information fusion for ubiquitous sensor networks. Adopting appropriate information fusion techniques can help in screening noisy measurements, control data in the network and take necessary inferences that can help in contextual computing. In this paper we try and explore different context information fusion techniques by comparing a large number of solutions, their methods, architectures and models. All the surveyed techniques can be adapted to the IoT framework.

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Aziz, Omer, Benny Lo, Julien Pansiot, Louis Atallah, Guang-Zhong Yang, and Ara Darzi. "From computers to ubiquitous computing by 2010: health care." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1881 (2008): 3805–11. http://dx.doi.org/10.1098/rsta.2008.0126.

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Over the past decade, miniaturization and cost reduction in semiconductors have led to computers smaller in size than a pinhead with powerful processing abilities that are affordable enough to be disposable. Similar advances in wireless communication, sensor design and energy storage have meant that the concept of a truly pervasive ‘wireless sensor network’, used to monitor environments and objects within them, has become a reality. The need for a wireless sensor network designed specifically for human body monitoring has led to the development of wireless ‘body sensor network’ (BSN) platforms composed of tiny integrated microsensors with on-board processing and wireless data transfer capability. The ubiquitous computing abilities of BSNs offer the prospect of continuous monitoring of human health in any environment, be it home, hospital, outdoors or the workplace. This pervasive technology comes at a time when Western world health care costs have sharply risen, reflected by increasing expenditure on health care as a proportion of gross domestic product over the last 20 years. Drivers of this rise include an ageing post ‘baby boom’ population, higher incidence of chronic disease and the need for earlier diagnosis. This paper outlines the role of pervasive health care technologies in providing more efficient health care.

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Prasad, Durga, Niranjan N. Chiplunkar, and K. Prabhakar Nayak. "A Trusted Ubiquitous Healthcare Monitoring System for Hospital Environment." International Journal of Mobile Computing and Multimedia Communications 8, no. 2 (2017): 14–26. http://dx.doi.org/10.4018/ijmcmc.2017040102.

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Wireless Body Sensor Network with wearable and implantable body sensors have been grabbing lot of interests among the researchers and healthcare service providers. These sensors forward physiological data to the personnel at the hospital, doctor or caretaker anytime, anywhere; hence the name of the network is Ubiquitous health monitoring system. The technology has brought Internet of Things into this system making it to get connected to the cloud based internet. This has made the retrieval of information to the expert and thus improving the happiness of elderly people and patients suffering from chronic diseases. This paper focuses on creating an android based application for monitoring patients in hospital environment. The necessity of sharing hospital data to the experts around the globe has brought the necessity of trust in Health care systems. The data sharing in the IOT environment is secured. The environment is tested in real-time cloud environment. The proposed android application serves to be better architecture for hospital monitoring.

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Meharouech, Amira, Jocelyne Elias, and Ahmed Mehaoua. "Moving Towards Body-to-Body Sensor Networks for Ubiquitous Applications: A Survey." Journal of Sensor and Actuator Networks 8, no. 2 (2019): 27. http://dx.doi.org/10.3390/jsan8020027.

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Thanks to their arising abilities to influence the human lifestyle, along with reducing the healthcare systems’ cost, wireless body area networks (WBANs) still form a strongly growing research field. Recent advances focus on the opportunities of coexistence and communication between a group of WBANs, that will forward the sensing data, using persons as network relays, until reaching a remote analysis server or cloud servers via the Internet, forming thus a body-to-body network (BBN). Such new-style networks support a range of innovative and promising applications, including ubiquitous healthcare (U-health), interactive games, and military, to cite a few. In this paper, we first present the evolution of the single WBAN concept to the cooperative network of multiple WBANs, giving rise to the BBN concept. A synopsis of the WBAN and BBN respective standards and applications is given, and the emerging BBN challenges are highlighted. Then, we present and discuss the existing WBAN proposals, especially the candidate WBAN protocols that could be adapted and used in BBNs, focusing on four intrinsically related axes of great importance for BBN design: energy efficiency, mobility prediction, quality of service (QoS) and security. Further BBN open issues are also investigated, namely, the wireless propagation between humans carrying wearable devices, the interference, storage and privacy issues as well as the heterogeneity of BBN devices and traffic.

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Yeoh, Chee-Min, Bee-Lie Chai, Hyoteak Lim, et al. "Ubiquitous Containerized Cargo Monitoring System Development based on Wireless Sensor Network Technology." International Journal of Computers Communications & Control 6, no. 4 (2011): 779. http://dx.doi.org/10.15837/ijccc.2011.4.2109.

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Due to globalization, global trade is strongly growing nowadays. The use of containers has significantly increased and bringing the change on the shape of the world economy. Thus, monitoring every single container is a big challenge for port industries. Furthermore, rapid development in embedded computing systems has led to the emergence of Wireless Sensor Network (WSN) technology which enabled us to envision the intelligent containers. This represents the next evolutionary development in logistics industry to increase the efficiency, productivity, security of containerized cargo shipping. In this paper, we present a comprehensive containerized cargo monitoring system based on WSNs. We incorporated tilt/motion sensor to improve the network convergence time of container networks. Moreover, we periodically switch the nodes into sleeping mode to save energy and extend the lifetime of the network. Based on the technical implementation on a real container vessel, we strongly believed that our design which employed WSN technology is viable to be implemented in container logistics to improve port services and provide safe transport of containerized cargo.

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Lee, Sangdong, and Sang Boem Lim. "Applications of Ubiquitous Sensor Network: Micro-Scale Air Quality Monitoring." International Journal of Computers Communications & Control 10, no. 3 (2015): 370. http://dx.doi.org/10.15837/ijccc.2015.3.889.

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Hwang, Jeonghwan, Changsun Shin, and Hyun Yoe. "A Wireless Sensor Network-Based Ubiquitous Paprika Growth Management System." Sensors 10, no. 12 (2010): 11566–89. http://dx.doi.org/10.3390/s101211566.

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Choi, Myeong-Soo, Se-Jun Pyo, Jin-Seok Lee, Seok-Ho Yoon, and Seong-Ro Lee. "Energy Efficiency Routing Algorithm for Vessel Ubiquitous Sensor Network Environments." Journal of Korea Information and Communications Society 36, no. 5B (2011): 557–65. http://dx.doi.org/10.7840/kics.2011.36b.5.557.

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Yoon, Geun-Young, Nam-Ho Kim, Hwang-Kyu Choi, Do-Young Jung, Shin-Hyeong Choi, and Gi-Taek Kim. "A Winter Road Weather Information System Using Ubiquitous Sensor Network." Journal of Korea Multimedia Society 14, no. 3 (2011): 392–402. http://dx.doi.org/10.9717/kmms.2011.14.3.392.

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Joo, Jaehun, Jaegeol Yim, and Choong-Ki Lee. "Protecting cultural heritage tourism sites with the ubiquitous sensor network." Journal of Sustainable Tourism 17, no. 3 (2009): 397–406. http://dx.doi.org/10.1080/09669580802582498.

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Nasim, Sofeem, Mourad Oussalah, Björn Klöve, and Ali Torabi Haghighi. "Machine learning model for snow depth estimation using a multisensory ubiquitous platform." Journal of Mountain Science 19, no. 9 (2022): 2506–27. http://dx.doi.org/10.1007/s11629-021-7186-4.

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AbstractSnow depth estimation is an important parameter that guides several hydrological applications and climate change prediction. Despite advances in remote sensing technology and enhanced satellite observations, the estimation of snow depth at local scale still requires improved accuracy and flexibility. The advances in ubiquitous and wearable technology promote new prospects in tackling this challenge. In this paper, a wearable IoT platform that exploits pressure and acoustic sensor readings to estimate and classify snow depth classes using some machine-learning models have been put forward. Significantly, the results of Random Forest classifier showed an accuracy of 94%, indicating a promising alternative in snow depth measurement compared to in situ, LiDAR, or expensive large-scale wireless sensor network, which may foster the development of further affordable ecological monitoring systems based on cheap ubiquitous sensors.

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Mosorov, Volodymyr, Sebastian Biedroń, and Taras Panskyi. "THE DEPENDENCE BETWEEN THE NUMBER OF ROUNDS AND IMPLEMENTED NODES IN LEACH ROUTING PROTOCOL-BASED SENSOR NETWORKS." Informatics Control Measurement in Economy and Environment Protection 7, no. 3 (2017): 60–63. http://dx.doi.org/10.5604/01.3001.0010.5217.

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In the 21st century wireless sensor networks have gained much popularity due to their flexibility. This progress has enabled the use of sensor nodes on an unprecedented scale and opened new opportunities for the so-called ubiquitous computerization. The total freedom of nodes distribution within the wireless network, where the wireless characteristic is one of the greatest advantages of the use of wireless sensor networks, implies its greatest weakness, i.e. the limitation of mobile power sources. To overcome this challenge specialized routing protocols, such as LEACH, were ushered in for making the effective use of the energy of the nodes themselves. The purpose of this article is to show how the life of a sensor network depends on the number of nodes equipped with a mobile limited power source.

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Díaz Pardo de Vera, David, Álvaro Sigüenza Izquierdo, Jesús Bernat Vercher, and Luis Hernández Gómez. "A Ubiquitous Sensor Network Platform for Integrating Smart Devices into the Semantic Sensor Web." Sensors 14, no. 6 (2014): 10725–52. http://dx.doi.org/10.3390/s140610725.

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Olariu, S., Q. Xu, M. Eltoweissy, A. Wadaa, and A. Y. Zomaya. "Protecting the Communication Structure in Sensor Networks." International Journal of Distributed Sensor Networks 1, no. 2 (2005): 187–203. http://dx.doi.org/10.1080/15501320590966440.

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In the near future wireless sensor networks will be employed in a wide variety of applications establishing ubiquitous networks that will pervade society. The inherent vulnerability of these massively deployed networks to a multitude of threats, including physical tampering with nodes exacerbates concerns about privacy and security. For example, denial of service attacks (DoS) that compromise or disrupt communications or target nodes serving key roles in the network, e.g. sink nodes, can easily undermine the functionality as well as the performance delivered by the network. Particularly vulnerable are the components of the communications or operation infrastructure. Although, by construction, most sensor network systems do not possess a built-in infrastructure, a virtual infrastructure, that may include a coordinate system, a cluster structure, and designated communication paths, may be established post-deployment in support of network management and operation. Since knowledge of this virtual infrastructure can be instrumental for successfully compromising network security, maintaining the anonymity of the virtual infrastructure is a primary security concern. Somewhat surprisingly, in spite of its importance, the anonymity problem has not been addressed in wireless sensor networks. The main contribution of this work is to propose an energy-efficient protocol for maintaining the anonymity of the virtual infrastructure in a class of sensor network systems. Our solution defines schemes for randomizing communications such that the cluster structure, and coordinate system used remain undetectable and invisible to an observer of network traffic during both the setup and operation phases of the network.

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Lafi Aljohani, Sarah, and Mohammed J. F. Alenazi. "Evaluation of WSN's Resilience to Challenges in Smart Cities." International Journal of Computer and Communication Engineering 9, no. 4 (2020): 193–206. http://dx.doi.org/10.17706/ijcce.2020.9.4.193-206.

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Smart cities are considered to be one of the most important applications of the IoT notion. Most smart city applications rely fundamentally on ubiquitous sensing, enabled by Wireless Sensor Network (WSN) technologies. These sensor networks are vulnerable to different challenges that cause failures in some parts of the network, which in turn interfere with the availability of network services and weaken the user experience. In this paper, we introduce a graph-theoretic model of wireless sensor networks used in smart cities. Moreover, we present several challenges, such as natural disasters and random failures and evaluate the system's performance in terms of data delivery, end to end delay, and energy consumption. The evaluation results show that fire is the challenge that causes the most damage among the three challenges examined, while random failure has the least effect on network performance. The results also show that the modeled WSN's can cope well with the challenge of random failures.

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Jonsson, Katrin, Jonny Holmström, Kalle Lyytinen, and Agneta Nilsson. "Desituating Context in Ubiquitous Computing." International Journal of Actor-Network Theory and Technological Innovation 2, no. 3 (2010): 40–55. http://dx.doi.org/10.4018/jantti.2010070104.

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Context awareness forms a core concern in ubiquitous computing and goes hand in hand with today’s extensive use of sensor technologies. This paper focuses on the use of sensors as part of remote diagnostic systems (RDS) in industrial organizations. The study shows that the process of desituating context, that is, capturing context and transferring it to another context, is critical for the successful use of the technology. The processes of capturing and transferring context are explored in industrial maintenance work through interviews with suppliers and users of RDS. To successfully manage the desituation of context, industrial organizations must find strategies of creating and managing a center of calculation, a center where the captured contexts meet and merge. To enable the long-distance control of the equipment, all data must be compiled into one manageable view without losing the specifics of the local contexts. The data collection must be designed with this in mind. Moreover, to bridge the gap between the digital and the physical world created by the new way of organizing the maintenance work, a new kind of maintenance network must be formed, one in which local technicians’ practices are reconfigured and instituted.

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Journal articles on the topic 'Ubiquitous sensor network'

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