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, 2021
Wireless 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
exaly   +2 more sources

WRSNs: Toward an Efficient Scheduling for Mobile Chargers

IEEE Sensors Journal, 2020
Wireless 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
exaly   +2 more sources

Joint Optimization of Charging Location and Time for Network Lifetime Extension in WRSNs

IEEE Transactions on Green Communications and Networking, 2022
Wireless 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
exaly   +2 more sources

Maximizing Energy Efficiency for Charger Scheduling of WRSNs

Lecture Notes in Computer Science, 2021
Yi Hong, Xiao Li
exaly   +2 more sources

CSCT: Charging Scheduling for Maximizing Coverage of Targets in WRSNs

IEEE Transactions on Computational Social Systems
Huansheng Xue, Honglong Chen, Kai Lin
exaly   +2 more sources

Research on Charging of Sensors in WRSN

2021
In 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
openaire   +1 more source

The Energy Replenishment Problem in Mobile WRSNs

2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2018
The 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
openaire   +1 more source

WRSN network planning model based on simulated annealing algorithm

Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics, 2021
As 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
openaire   +1 more source

Enhanced SA-based charging algorithm for WRSN

2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016
The 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
openaire   +1 more source

Q-learning-based, Optimized On-demand Charging Algorithm in WRSN

2020 IEEE 19th International Symposium on Network Computing and Applications (NCA), 2020
This 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
openaire   +1 more source

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