Results 101 to 110 of about 333 (151)
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Geometric Analysis of Energy Saving for Directional Charging in WRSNs
IEEE Internet of Things Journal, 2021Wireless power transfer (WPT) enables a reliable and convenient charging paradigm. This article concerns the fundamental issue of energy saving in wireless rechargeable sensor networks (WRSNs), i.e., given a fixed number of rechargeable sensors (RSs) with their locations and charging demands, we focus on a minimal charging expenditure (MAP) problem ...
Riheng Jia, Jianfeng Lu, Jinhao Wu
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WRSNs: Toward an Efficient Scheduling for Mobile Chargers
IEEE Sensors Journal, 2020Wireless Rechargeable Sensor Networks (WRSNs) are emerging systems to build data acquisition systems to monitor critical areas. It has better features than Wireless Sensor Networks (WSNs) since in WRSNs, sensors are rechargeable. Wireless Rechargeable Sensor Networks allow sensors with sensing ability to collect and supply data to the operation center (
Ngoc-Tu Nguyen +2 more
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Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs
IEEE Transactions on Green Communications and Networking, 2022Wireless rechargeable sensor networks (WRSNs) have emerged as a potential solution to solve the challenge of prolonging battery-powered sensor networks’ lifetime. In a WRSN, a mobile charger moves around and charges the rechargeable sensors when stopping at charging spots. This paper newly considers a joint optimization of the charging location and the
Kien Nguyen, Minh Hieu Nguyen
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Maximizing Energy Efficiency for Charger Scheduling of WRSNs
Lecture Notes in Computer Science, 2021Yi Hong, Xiao Li
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CSCT: Charging Scheduling for Maximizing Coverage of Targets in WRSNs
IEEE Transactions on Computational Social SystemsHuansheng Xue, Honglong Chen, Kai Lin
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Research on Charging of Sensors in WRSN
2021In WRSN, in order to minimize the energy consumption of the mobile charger on the road, this paper establishes an optimization model combined with the simulated annealing method to analyze and study the charging path planning of the mobile charger of WRSN, and gives a scientific and reasonable planning scheme.
Wenjing Huo, Xiaorui Hao
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The Energy Replenishment Problem in Mobile WRSNs
2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2018The energy replenishment problem is an important issue in Wireless Rechargeable Sensor Networks (WRSNs). In this paper, we discuss how to make use of the mobility capability of sensors to balance energy consumption among mobile sensors before they get assistance from fully charged redundant mobile sensors.
Chien-Fu Cheng, Chen-Chuan Wang
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WRSN network planning model based on simulated annealing algorithm
Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics, 2021As an indispensable part of the modern information society, Wireless Sensor Network (WSN) is constrained by energy problems. Fortunately, wireless transmission technology---a newly emerged area of study---offers the solution to this problem. Therefore, the Wireless Rechargeable Sensor Network (WRSN), which uses mobile chargers with high battery energy ...
Qiuxuan Wan +2 more
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Enhanced SA-based charging algorithm for WRSN
2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016The wireless rechargeable sensor network is a technology to solve lifetime problem for wireless sensor network. Most researches discussed about the outdoor scenario but there are few studies focused on the indoor scenario. Actually, wireless sensor network is very important for the indoor scenario.
Wei-Che Chien +3 more
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Q-learning-based, Optimized On-demand Charging Algorithm in WRSN
2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 2020This paper introduces a novel charging strategy for wireless rechargeable sensor networks (WRSNs), in which a mobile charger (MC) moves and wirelessly transfers the power to the sensor nodes. The first distinct point of this work is designing the MC's charging algorithm under the consideration of target coverage and connectivity.
La Van Quan +3 more
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