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Journal articles on the topic 'Linear Wireless Sensor Networks'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Cui, Lizhen, Jian Cao, Zhulin An, Yong Yang, and Qianqian Guo. "Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks." International Journal of Distributed Sensor Networks 17, no. 7 (2021): 155014772110363. http://dx.doi.org/10.1177/15501477211036383.

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Time synchronicity works as a popular requirement in wireless sensor networks. Pulse-coupled oscillators similar to firefly flashing and synchronization via discrete pulse coupling are widely used in wireless sensor networks. In this article, we have studied the time synchronization with communication delay in the nearest neighbor network of distributed sensors, based on the pulse-coupled oscillators model of synchronicity achieved by biological systems. First, we present a linear pulse-coupled oscillators model with coupling delay and the model is used to analyze the wireless sensor networks

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Wang, Ning, Yingbin Fu, Jiao Zhao, and Liwei Chen. "Node importance measure in linear wireless sensor networks." Advances in Mechanical Engineering 8, no. 12 (2016): 168781401668239. http://dx.doi.org/10.1177/1687814016682391.

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This article analyzes the node importance in linear wireless sensor networks, which can be used to identify the key states of nodes that affect the wireless sensor network performance most. First, the sensor energy can be divided into energy of sensing event, energy of transmitting packets, and energy of receiving packets. The node residual energy of after data flow transmission in linear wireless sensor networks from source nodes and relay nodes is evaluated. Second, the node state is divided into four states based on the data packets transmitting. From the view of reliability theory, a data-

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Lin, Yan, Hongliang Zhu, Guoai Xu, and Guosheng Xu. "Hierarchical secret sharing scheme for WSN based on linear homogeneous recurrence relations." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155013292210887. http://dx.doi.org/10.1177/15501329221088740.

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Wireless sensor network is a key technology in the sensing layer of the Internet of Things. Data security in wireless sensor network is directly related to the authenticity and validity of data transmitted in the Internet of Things. Due to the large number and different types of nodes in wireless sensor networks, layered secret key sharing technology is increasingly used in wireless sensor networks. In a hierarchical secret sharing scheme, participants are divided into sections with different permissions for each team, but the same permissions for participants in the same team. In this article

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Ishak, Ruzana, Shaharuddin Salleh, Stephan Olariu, and Mohd Ismail Abdul Aziz. "SPLAI: Computational Finite Element Model for Sensor Networks." Mobile Information Systems 2, no. 1 (2006): 77–92. http://dx.doi.org/10.1155/2006/672524.

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Wireless sensor network refers to a group of sensors, linked by a wireless medium to perform distributed sensing task. The primary interest is their capability in monitoring the physical environment through the deployment of numerous tiny, intelligent, wireless networked sensor nodes. Our interest consists of a sensor network, which includes a few specialized nodes called processing elements that can perform some limited computational capabilities. In this paper, we propose a model called SPLAI that allows the network to compute a finite element problem where the processing elements are modele

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Liu, Yang, Jing Li, and Hao Wang. "Robust Linear Beamforming in Wireless Sensor Networks." IEEE Transactions on Communications 67, no. 6 (2019): 4450–63. http://dx.doi.org/10.1109/tcomm.2019.2903251.

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6

Jawhar, Imad, Nader Mohamed, and Dharma P. Agrawal. "Linear wireless sensor networks: Classification and applications." Journal of Network and Computer Applications 34, no. 5 (2011): 1671–82. http://dx.doi.org/10.1016/j.jnca.2011.05.006.

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Balbal, Samir, Salim Bouamama, and Christian Blum. "A Greedy Heuristic for Maximizing the Lifetime of Wireless Sensor Networks Based on Disjoint Weighted Dominating Sets." Algorithms 14, no. 6 (2021): 170. http://dx.doi.org/10.3390/a14060170.

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Dominating sets are among the most well-studied concepts in graph theory, with many real-world applications especially in the area of wireless sensor networks. One way to increase network lifetime in wireless sensor networks consists of assigning sensors to disjoint dominating node sets, which are then sequentially used by a sleep–wake cycling mechanism. This paper presents a greedy heuristic for solving a weighted version of the maximum disjoint dominating sets problem for energy conservation purposes in wireless sensor networks. Moreover, an integer linear programming model is presented. Exp

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Yang, Haibo, Huidong Guo, Junying Jia, Zhengfeng Jia, and Aiyang Ren. "Self-Organizing and Routing Approach for Condition Monitoring of Railway Tunnels Based on Linear Wireless Sensor Network." Sensors 24, no. 20 (2024): 6502. http://dx.doi.org/10.3390/s24206502.

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Real-time status monitoring is crucial in ensuring the safety of railway tunnel traffic. The primary monitoring method currently involves deploying sensors to form a Wireless Sensor Network (WSN). Due to the linear characteristics of railway tunnels, the resulting sensor networks usually have a linear topology known as a thick Linear Wireless Sensor Network (LWSN). In practice, sensors are deployed randomly within the area, and to balance the energy consumption among nodes and extend the network’s lifespan, this paper proposes a self-organizing network and routing method based on thick LWSNs.

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9

Salam Al-hchimy, Zainab, Saad Talib Hasson, Rajaa Mahmood Kareem, et al. "Enhancement of the Reliability of the Linear Wireless Sensor Networks." BIO Web of Conferences 97 (2024): 00048. http://dx.doi.org/10.1051/bioconf/20249700048.

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Wireless Sensor Network (WSN) is one of the trend technologies. It was aggregation, processing, and transferring a huge amount of data in different applications that deal with the surrounding environment. Using a huge number of sensors deployed or organized in a linear configuration between two parallel lines or carvings, a specific kind of WSN is constructed to monitor a particular type of infrastructure. This type of WSN is Known as Linear Wireless Sensor Network (LWSN). LWSNs are used in monitoring applications that are arranged in linear form like underground Pipelines, Bridges, Tunnels, R

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Ma, Tao, Huidong Guo, and Xin Li. "An Innovative Linear Wireless Sensor Network Reliability Evaluation Algorithm." Sensors 25, no. 1 (2025): 285. https://doi.org/10.3390/s25010285.

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In recent years, wireless sensor networks (WSNs) have become a crucial technology for infrastructure monitoring. To ensure the reliability of monitoring services, evaluating the network’s reliability is particularly important. Sensor nodes are distributed linearly when monitoring linear structures, such as railway bridges, forming what is known as a Linear Wireless Sensor Network (LWSN). Although existing evaluation methods, such as enumeration and Binary Decision Diagram (BDD)-based methods, can be used to assess the reliability of various types of networks, their efficiency is relatively low

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11

Han, Chen, Yuwang Yang, and Xu Han. "A fast network coding scheme for mobile wireless sensor networks." International Journal of Distributed Sensor Networks 13, no. 2 (2017): 155014771769324. http://dx.doi.org/10.1177/1550147717693241.

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In mobile wireless sensor networks, linear network coding has been shown to improve the performance of network throughput and reduce delay. However, the linear dependence of coded packets caused by linear network coding will result in significant instability of the entire network during data transmission. Moreover, current linear network coding schemes do not distinguish between the real-time requirements of different packets. To solve the above problems, a weighted Vandermonde echelon fast coding scheme is proposed based on an analysis of various coding schemes such as random and linear netwo

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12

Abdourakhmane, Fall, Dethié Sarr Moussa, and Sarr Cheikh. "Clusters Construction Mechanism for Junction Linear Wireless Sensor Networks (2CMJ)." Journal of Scientific and Engineering Research 8, no. 8 (2021): 15–29. https://doi.org/10.5281/zenodo.10609757.

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<strong>Abstract</strong> A Linear Wireless Sensor Network (LWSN) is a collection of sensors geographically arranged in a linear topology. These types of networks are applied today in several fields, their applications mainly concern areas based on linear form environments i.e. road or rail infrastructure border, waterway, oil, pipeline surveillance, gas etc. There are two categories of LWSN topologies: Strictly linear networks with a single line starting from the sink, and linear networks with junctions, in which we have several lines with crossings called junctions. In order to better organi

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Egas Acosta, Carlos, Felipe Gil-Castiñeira, and Enrique Costa-Montenegro. "Red inalámbrica de sensores con topología lineal sin capa de red." Revista de Investigación en Tecnologías de la Información 9, no. 17 (2021): 56–65. http://dx.doi.org/10.36825/riti.09.17.006.

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A particular case of wireless sensor networks are those that have a linear topology. These networks are used in monitoring large-scale linear infrastructures that are characterized by having thousands of sensor nodes, hundreds of hops and great lengths. The requirements for routing in linear topologies are minimal relative to the requirements of other topologies. There are currently several network architectures and routing protocols for wireless sensor networks, which have been created based on the application that will run on the nodes. Routing protocols designed for mesh, tree, and star top

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Das, Arindam K., and Mehran Mesbahi. "Distributed Linear Parameter Estimation over Wireless Sensor Networks." IEEE Transactions on Aerospace and Electronic Systems 45, no. 4 (2009): 1293–306. http://dx.doi.org/10.1109/taes.2009.5310299.

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15

Mao, Yuxin, and Ping Zhu. "A Source-Initiated On-Demand Routing Algorithm Based on the Thorup-Zwick Theory for Mobile Wireless Sensor Networks." Scientific World Journal 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/283852.

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The unreliability and dynamics of mobile wireless sensor networks make it hard to perform end-to-end communications. This paper presents a novel source-initiated on-demand routing mechanism for efficient data transmission in mobile wireless sensor networks. It explores the Thorup-Zwick theory to achieve source-initiated on-demand routing with time efficiency. It is able to find out shortest routing path between source and target in a network and transfer data in linear time. The algorithm is easy to be implemented and performed in resource-constrained mobile wireless sensor networks. We also e

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Acosta., Carlos Egas, Felipe Gil-Castiñeira, Enrique Costa-Montenegro, and Jorge Sá Silva. "Reliable Link Level Routing Algorithm in Pipeline Monitoring Using Implicit Acknowledgements." Sensors 21, no. 3 (2021): 968. http://dx.doi.org/10.3390/s21030968.

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End-to-end reliability for Wireless Sensor Network communications is usually provided by upper stack layers. Furthermore, most of the studies have been related to star, mesh, and tree topologies. However, they rarely consider the requirements of the multi-hop linear wireless sensor networks, with thousands of nodes, which are universally used for monitoring applications. Therefore, they are characterized by long delays and high energy consumption. In this paper, we propose an energy efficient link level routing algorithm that provides end-to-end reliability into multi-hop wireless sensor netwo

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Zhu, Hongbo, and Jiabao Ding. "A Dynamic Variance-Based Triggering Scheme for Distributed Cooperative State Estimation over Wireless Sensor Networks." Complexity 2021 (January 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/7851080.

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Wireless sensor networks (WSNs) have been spawning many new applications where cooperative state estimation is essential. In this paper, the problem of performing cooperative state estimation for a discrete linear stochastic dynamical system over wireless sensor networks with a limitation on the sampling and communication rate is considered, where distributed sensors cooperatively sense a linear dynamical process and transmit observations each other via a common wireless channel. Firstly, a novel dynamic variance-based triggering scheme (DVTS) is designed to schedule the sampling of each senso

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18

Barcelo-Ordinas, Jose M., Pau Ferrer-Cid, Jorge Garcia-Vidal, Anna Ripoll, and Mar Viana. "Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks." Sensors 19, no. 11 (2019): 2503. http://dx.doi.org/10.3390/s19112503.

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New advances in sensor technologies and communications in wireless sensor networks have favored the introduction of low-cost sensors for monitoring air quality applications. In this article, we present the results of the European project H2020 CAPTOR, where three testbeds with sensors were deployed to capture tropospheric ozone concentrations. One of the biggest challenges was the calibration of the sensors, as the manufacturer provides them without calibrating. Throughout the paper, we show how short-term calibration using multiple linear regression produces good calibrated data, but instead

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19

Alimzhanova, Zh M., N. P. Azanov, G. Z. Ziyatbekova, Zh N. Abilkhanova, S. Zh Zhunusbayeva, and B. M. Turgambay. "Development and research of reliability assessment of linear wireless sensor networks." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 88, no. 2 (2023): 9–15. http://dx.doi.org/10.47533/2023.1606-146x.1.

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The article is devoted to the issue of estimating the reliability of linear wireless sensor networks. Scientific research in the field of forecasting is given. This article discusses the Internet of Things (IoT) technology, which is growing by 15-20%, actively developing in all directions and its principles of operation. The area with the greatest potential for the application of the Internet of Things in Kazakhstan is smart control of resource consumption, including in the sphere of housing and communal services. Использованы методы построения и управления смарт-систем. Also describes the inc

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20

El-Fouly, Fatma, Ahmed Altamimi, and Rabie Ramadan. "Energy and Environment-Aware Path Planning in Wireless Sensor Networks with Mobile Sink." Sensors 22, no. 24 (2022): 9789. http://dx.doi.org/10.3390/s22249789.

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With the advances in sensing technologies, sensor networks became the core of several different networks, including the Internet of Things (IoT) and drone networks. This led to the use of sensor networks in many critical applications including military, health care, and commercial applications. In addition, sensors might be mobile or stationary. Stationary sensors, once deployed, will not move; however, mobile nodes can move from one place to another. In most current applications, mobile sensors are used to collect data from stationary sensors. This raises many energy consumption challenges, i

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21

Li, Ruiying, Haitao Liao, Xiaoxi Liu, and Ning Huang. "Lifetime optimisation for linear wireless sensor networks under retransmission." International Journal of Ad Hoc and Ubiquitous Computing 22, no. 3 (2016): 153. http://dx.doi.org/10.1504/ijahuc.2016.077807.

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22

Huang, Ning, Xiaoxi Liu, Haitao Liao, and Ruiying Li. "Lifetime optimisation for linear wireless sensor networks under retransmission." International Journal of Ad Hoc and Ubiquitous Computing 22, no. 3 (2016): 153. http://dx.doi.org/10.1504/ijahuc.2016.10000031.

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23

Noori, M., and M. Ardakani. "Characterizing the traffic distribution in linear wireless sensor networks." IEEE Communications Letters 12, no. 8 (2008): 554–56. http://dx.doi.org/10.1109/lcomm.2008.080488.

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24

Mohamed, Nader, Jameela Al-Jaroodi, and Imad Jawhar. "Modeling the Performance of Faulty Linear Wireless Sensor Networks." International Journal of Distributed Sensor Networks 10, no. 7 (2014): 835473. http://dx.doi.org/10.1155/2014/835473.

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Zhu, Xiaojun, Xiaobing Wu, and Guihai Chen. "Relative localization for wireless sensor networks with linear topology." Computer Communications 36, no. 15-16 (2013): 1581–91. http://dx.doi.org/10.1016/j.comcom.2013.07.007.

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26

Toma, Daniel Mihai, Joaquin del Rio, and Antoni Mànuel. "Wireless HDLC Protocol for Energy-Efficient Large-Scale Linear Wireless Sensor Networks." International Journal of Distributed Sensor Networks 10, no. 4 (2014): 916073. http://dx.doi.org/10.1155/2014/916073.

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27

Li, Jun Xia. "Research on Data Compression of WSN Based on Compressed Sensing." Applied Mechanics and Materials 686 (October 2014): 423–28. http://dx.doi.org/10.4028/www.scientific.net/amm.686.423.

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For Wireless Sensor Networks (WSN) is responsible for sensing, collecting, processing and monitoring of environmental data, but it might be limited in resources. This paper describes in detail the compressed sensing theory, study the wireless sensor network data conventional compression and network coding method. The linear network coding scheme based on sparse random projection theory of compressed sensing. Simulation results show that this system satisfies the requirements of the reconstruction error of packets needed to reduce the number of nodes to the total number of 30%, improves the eff

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Hellman, Keith, and Michael Colagrosso. "INVESTIGATING A WIRELESS SENSOR NETWORK OPTIMAL LIFETIME SOLUTION FOR LINEAR TOPOLOGIES." Journal of Interconnection Networks 07, no. 01 (2006): 91–99. http://dx.doi.org/10.1142/s0219265906001600.

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We investigate a known optimal lifetime solution for a linear wireless sensor network through simulation, and propose alternative solutions where a known optimal solution does not exist. The network is heterogeneous in the sensors' energy distribution and also in the amount of data each sensor must communicate. As a basis for comparison, we analyze the lifetime of a network using a simple, nearest-neighbor routing algorithm, and an analytic solution to the optimal lifetime of networks meeting certain constraints. Alternative solutions considered range from those requiring global knowledge of t

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Wen, Longfei, Lingguo Cui, Senchun Chai, and Baihai Zhang. "Neighbor Constraint Assisted Distributed Localization for Wireless Sensor Networks." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/143938.

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Localization is one of the most significant technologies in wireless sensor networks (WSNs) since it plays a critical role in many applications. The main idea in most localization methods is to estimate the sensor-anchor distances that are used by sensors to locate themselves. However, the distance information is always imprecise due to the measurement or estimation errors. In this work, a novel algorithm called neighbor constraint assisted distributed localization (NCA-DL) is proposed, which introduces the application of geometric constraints to these distances within the algorithm. For examp

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Ban, Dongsong, Wei Yang, Jie Jiang, Jun Wen, and Wenhua Dou. "Energy-Efficient Algorithms for k-Barrier Coverage In Mobile Sensor Networks." International Journal of Computers Communications & Control 5, no. 5 (2010): 616. http://dx.doi.org/10.15837/ijccc.2010.5.2217.

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Barrier coverage is an appropriate coverage model for intrusion detection by constructing sensor barriers in wireless sensor networks. In this paper, we focus on the problem how to relocate mobile sensors to construct k sensor barriers with minimum energy consumption. We first analyze this problem, give its Integer Linear Programming(ILP) model and prove it to be NP-hard. Then we devise an approximation algorithm AHGB to construct one sensor barrier energy-efficiently, simulations show that the solution of AHGB is close to the optimal solution. Based on AHGB, a Divide-and-Conquer algorithm is

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Kaur, Jaspreet, and Amit Kumar Bindal. "Resource Aware Hybrid Energy Harvesting for Wireless Sensor Networks." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4117–24. http://dx.doi.org/10.1166/jctn.2019.8490.

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Sensors consume the resources to perform different operations, and energy of the nodes may be depleted due to excessive computational load; thus, may reduce the overall network lifespan as well as coverage area. Traditional energy harvesting schemes provides energy to the nodes in linear way but these schemes depend over a single source as well as these do not interact with the routing protocol. In this paper, a Hybrid Energy Harvester scheme for wireless sensor network is introduced which can utilize multiple energy sources for harvesting and also interact with the routing protocols to fulfil

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Ma, Zijing, Shuangjuan Li, Longkun Guo, and Guohua Wang. "Energy-efficient non-linear k-barrier coverage in mobile sensor network." Computer Science and Information Systems 17, no. 3 (2020): 737–58. http://dx.doi.org/10.2298/csis200205018m.

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K-barrier coverage is an important coverage model for achieving robust barrier coverage in wireless sensor networks. After initial random sensor deployment, k-barrier coverage can be achieved by moving mobile sensors to form k barriers consisting of k sensor chains crossing the region. In mobile sensor network, it is challenging to reduce the moving distances of mobile sensors to prolong the network lifetime. Existing work mostly focused on forming linear barriers, that is the final positions of sensors are on a straight line, which resulted in large redundant movements. However, the moving co

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Wu, Jie, Nader Mohamed, Imad Jawhar, and Sheng Zhang. "Message-ferrying delay-tolerant routing in linear wireless sensor networks." International Journal of Sensor Networks 39, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijsnet.2022.10047316.

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Sokullu, Radosveta, and Eren Demir. "Investigating Energy Efficiency and Timeliness for Linear Wireless Sensor Networks." Procedia Computer Science 37 (2014): 24–31. http://dx.doi.org/10.1016/j.procs.2014.08.008.

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Kadayif, I., M. Kandemir, N. Vijaykrishnan, and M. J. Irwin. "An integer linear programming-based tool for wireless sensor networks." Journal of Parallel and Distributed Computing 65, no. 3 (2005): 247–60. http://dx.doi.org/10.1016/j.jpdc.2004.04.004.

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Zhong Shen, Hai Jiang, and Zhongjiang Yan. "Fast Data Collection in Linear Duty-Cycled Wireless Sensor Networks." IEEE Transactions on Vehicular Technology 63, no. 4 (2014): 1951–57. http://dx.doi.org/10.1109/tvt.2013.2288259.

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Xing, Yulong, Yongrui Chen, Weidong Yi, and Chenghua Duan. "Time Synchronization for Wireless Sensor Networks Using Adaptive Linear Prediction." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/917042.

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Time synchronization is a crucial component in wireless sensor networks (WSN), especially for location-aware applications. The precision of time-based localization algorithms is closely related to the accuracy of synchronization. The estimation of synchronization errors in most of the existing time synchronization algorithms is based on some statistical distribution models. However, these models may not be able to accurately describe the synchronization errors due to the uncertainties in clock drift and message delivery delay in synchronization. Considering that the synchronization errors are

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Zhang, Hui, Xinming Zhang, and Dan Keun Sung. "Lightweight Self-Adapting Linear Prediction Algorithms for Wireless Sensor Networks." IEEE Sensors Journal 15, no. 5 (2015): 3050–58. http://dx.doi.org/10.1109/jsen.2014.2385854.

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Yang, Qi, Xuan Zhang, Jingfeng Qian, and Qiang Ye. "An anomaly node detection method for distributed time synchronization algorithm in cognitive radio sensor networks." International Journal of Distributed Sensor Networks 14, no. 5 (2018): 155014771877446. http://dx.doi.org/10.1177/1550147718774467.

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In wireless sensor networks, time synchronization is an important issue for all nodes to have a unified time. The wireless sensor network nodes should cooperatively adjust their local time according to certain distributed synchronization algorithms to achieve global time synchronization. Conventionally, it is assumed that all nodes in the network are cooperative and well-functioned in the synchronization process. However, in cognitive radio wireless sensor networks, the global time synchronization process among secondary users is prone to fail because the communication process for exchanging s

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Parfenov, V. I., and T. T. Bui. "Algorithms for Integrated Object Detection in Wireless Sensor Networks." Journal of the Russian Universities. Radioelectronics 28, no. 2 (2025): 33–44. https://doi.org/10.32603/1993-8985-2025-28-2-33-44.

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Introduction. Wireless sensor networks can be used to solve various economic problems, including detection of objects (phenomena) of interest. Most of the well-known information processing algorithms in such networks are built according to a radial architecture. Such an approach assumes each sensor to have a direct access to the central node responsible for making the final decision. At the same time, this approach cannot always be implemented in practice, largely due to the complicated topography of the area. In this connection, the development of an integrated detection algorithm for sequent

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Domga, Rodrigue K., Razvan Stanica, Maurice Tchuente, and Fabrice Valois. "Sensor deployment in wireless sensor networks with linear topology using virtual node concept." Wireless Networks 25, no. 8 (2019): 4947–62. http://dx.doi.org/10.1007/s11276-019-02071-x.

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Chen, Shan Shan, He Ping Chen, Rui Yao Chen, and Xiao Hui Li. "Light Dimming Algorithm Based on Users' Activities for Wireless Sensor Networks." Advanced Materials Research 718-720 (July 2013): 1516–22. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.1516.

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In order to solve the problem of small storage space and low calculation power in lighting dimming system for wireless sensor networks, a light dimming algorithm based on users activities for wireless sensor networks is proposed. It adopts linear programming to get the optimal solution of the light dimming model and get a relatively optimal illumination adjustment vector. Experiment results indicate that the lighting system has the lower energy consumption and achieve the goal of energy saving and emission reduction using the proposed light dimming algorithm.

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Hu, Xi, and Wei Guo. "A robust congestion control scheme for cluster wireless multimedia sensor networks with propagation delay and external interference." International Journal of Distributed Sensor Networks 12, no. 12 (2016): 155014771668340. http://dx.doi.org/10.1177/1550147716683407.

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Congestion control in cluster wireless multimedia sensor networks is capable of delivering and gathering multimedia information, while propagation delay and external interference may cause it unable to achieve the maximal network throughput without congestion control. To solve the problem, based on the additive-increase multiplicative-decrease adjustment strategy, a robust congestion control model is proposed with a scheduling scheme in cluster wireless multimedia sensor networks considering the neighbor feedback. The robust congestion control model is a Lur’e-type system. The cluster wireless

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Yuan, Li-Yong, and Fei-Long Lin. "Collection tree-oriented mesh routing optimization for extending the lifetime of wireless sensor networks." International Journal of Distributed Sensor Networks 18, no. 3 (2022): 155013292210854. http://dx.doi.org/10.1177/15501329221085495.

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Routing optimization in wireless sensor networks facilitates to reduce the overhead of the maintaining of wireless sensor networks and extend the lifetime of wireless sensor networks. Collection tree-based routing protocol, which does not require route discovery, has been widely used for low overheads of calculation and storage. However, with collection tree-based routing protocol, some nodes easily become the bottleneck points and quickly run out of the energy. To deal with this drawback, this article proposes a collection tree-oriented mesh routing strategy with cooperatively consuming the r

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Wang, Jin, Xiumin Wang, Shukui Zhang, Yanqin Zhu, and Juncheng Jia. "An Efficient Reliable Communication Scheme in Wireless Sensor Networks Using Linear Network Coding." International Journal of Distributed Sensor Networks 8, no. 10 (2012): 605494. http://dx.doi.org/10.1155/2012/605494.

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We address the modeling and design of linear network coding (LNC) for reliable communication against multiple failures in wireless sensor networks (WSNs). To fulfill the objective, we design a deterministic LNC scheme RDLC based on the average number of path failures simultaneously happening in the network other than the maximum number of path failures. The scheme can significantly improve the network throughput comparing with the traditional approaches. In our study, we also investigate the potential of random linear code RRLC for providing reliable communication in WSNs and prove the low bou

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Song, Liang, and Dimitrios Hatzinakos. "Architecture of Wireless Sensor Networks with Mobile Sinks: Multiple Access Case." International Journal of Distributed Sensor Networks 3, no. 3 (2007): 289–310. http://dx.doi.org/10.1080/15501320601062130.

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We propose to develop Wireless Sensor Networks with Mobile Sinks (MSSN), under high sensor node density, where multiple sensor nodes need to share one single communication channel in the node-to-sink transmission. By exploiting the tradeoff between the successful information retrieval probability and the nodes energy consumption, a number of multiple nodes transmission scheduling algorithms are proposed. Both optimal and suboptimal algorithms, which exhibit exponential and linear complexity respectively, are discussed under the desired application. Computer simulations show that suboptimal alg

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Chen, Demin, and Xi Zhang. "Revaluation Method of Sensor Power Supply." Journal of Nanoelectronics and Optoelectronics 18, no. 11 (2023): 1384–92. http://dx.doi.org/10.1166/jno.2023.3526.

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This study proposes an approach for wireless sensor power supply voltage early warning using statistical models. Experimental and statistical analysis of electrical parameters and battery discharge characteristics were conducted to establish a reliable evaluation process. A linear regression model was employed to analyze and fit known temperature and voltage data, establishing a relationship model between voltage and temperature and using it to predict unknown voltage threshold data. This solves the problem of the inability to real-time predict the warning voltage threshold of wireless sensors

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Thoen, Bart, Stijn Wielandt, and Lieven De Strycker. "Improving AoA Localization Accuracy in Wireless Acoustic Sensor Networks with Angular Probability Density Functions." Sensors 19, no. 4 (2019): 900. http://dx.doi.org/10.3390/s19040900.

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Advances in energy efficient electronic components create new opportunities for wireless acoustic sensor networks. Such sensors can be deployed to localize unwanted and unexpected sound events in surveillance applications, home assisted living, etc. This research focused on a wireless acoustic sensor network with low-profile low-power linear MEMS microphone arrays, enabling the retrieval of angular information of sound events. The angular information was wirelessly transmitted to a central server, which estimated the location of the sound event. Common angle-of-arrival localization approaches

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Salem, Osman, Alexey Guerassimov, Ahmed Mehaoua, Anthony Marcus, and Borko Furht. "Anomaly Detection in Medical Wireless Sensor Networks using SVM and Linear Regression Models." International Journal of E-Health and Medical Communications 5, no. 1 (2014): 20–45. http://dx.doi.org/10.4018/ijehmc.2014010102.

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This paper details the architecture and describes the preliminary experimentation with the proposed framework for anomaly detection in medical wireless body area networks for ubiquitous patient and healthcare monitoring. The architecture integrates novel data mining and machine learning algorithms with modern sensor fusion techniques. Knowing wireless sensor networks are prone to failures resulting from their limitations (i.e. limited energy resources and computational power), using this framework, the authors can distinguish between irregular variations in the physiological parameters of the

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Tekchandani, Prakash, and Aditya Trivedi. "Clock Drift Management Using Nature Inspired Algorithms." Journal of Information Technology Research 5, no. 4 (2012): 48–62. http://dx.doi.org/10.4018/jitr.2012100104.

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Time Synchronization is common requirement for most network applications. It is particularly essential in a Wireless Sensor Networks (WSNs) to allow collective signal processing, proper correlation of diverse measurements taken from a set of distributed sensor elements and for an efficient sharing of the communication channel. The Flooding Time Synchronization Protocol (FTSP) was developed explicitly for time synchronization of wireless sensor networks. In this paper, we optimized FTSP for clock drift management using Particle Swarm Optimization (PSO), Variant of PSO and Differential Evolution

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