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Mobile Charging Strategy for Wireless Rechargeable Sensor Networks

Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.359 [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22010359 ;PMID: 35009897

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  • Title:
    Mobile Charging Strategy for Wireless Rechargeable Sensor Networks
  • Author: Chen, Tzung-Shi ; Chen, Jen-Jee ; Gao, Xiang-You ; Chen, Tzung-Cheng
  • Subjects: Algorithms ; Batteries ; Battery chargers ; Charging ; Clustering ; Completion time ; Data collection ; Data transmission ; Depletion ; Efficiency ; Electric power transmission ; Energy conservation ; Energy consumption ; energy efficiency ; Lifetime ; mobile charging robot ; Power ; Robots ; Sensors ; Solar energy ; traveling salesman problem ; Voronoi diagram ; Wireless networks ; Wireless power transmission ; wireless rechargeable sensor networks ; Wireless sensor networks
  • Is Part Of: Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.359
  • Description: In a wireless sensor network, the sensing and data transmission for sensors will cause energy depletion, which will lead to the inability to complete the tasks. To solve this problem, wireless rechargeable sensor networks (WRSNs) have been developed to extend the lifetime of the entire network. In WRSNs, a mobile charging robot ( ) is responsible for wireless charging each sensor battery and collecting sensory data from the sensor simultaneously. Thereby, needs to traverse along a designed path for all sensors in the WRSNs. In this paper, dual-side charging strategies are proposed for traversal planning, which minimize the traversal path length, energy consumption, and completion time. Based on dual-side charging, neighboring sensors in both sides of a designated path can be wirelessly charged by and sensory data sent to simultaneously. The constructed path is based on the power diagram according to the remaining power of sensors and distances among sensors in a WRSN. While the power diagram is built, charging strategies with dual-side charging capability are determined accordingly. In addition, a clustering-based approach is proposed to improve minimizing moving total distance, saving charging energy and total completion time in a round. Moreover, integrated strategies that apply a clustering-based approach on the dual-side charging strategies are presented in WRSNs. The simulation results show that, no matter with or without clustering, the performances of proposed strategies outperform the baseline strategies in three respects, energy saving, total distance reduced, and completion time reduced for in WSRNs.
  • Publisher: Switzerland: MDPI AG
  • Language: English
  • Identifier: ISSN: 1424-8220
    EISSN: 1424-8220
    DOI: 10.3390/s22010359
    PMID: 35009897
  • Source: GFMER Free Medical Journals
    PubMed Central
    ROAD: Directory of Open Access Scholarly Resources
    ProQuest Central
    DOAJ Directory of Open Access Journals
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