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Joint mobile data collection and energy supply scheme for rechargeable wireless sensor networks

  • Zhansheng Chen
  • , Hong Shen

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

To alleviate energy hole problem inherent in static Base station (BS) scheme and extend network work of battery-restricted wireless rechargable sensor networks, a joint mobile data col-lection and adaptive charging scheduling (MDC-ACS) scheme based on virtual grid is proposed in this paper, aiming to achieve whole network energy balance and high charging effi-ciency. In MDC-ACS scheme, network is firstly divided into several grids and several rendezvous are determined using geo-graphic information. Then, mobile data collector (MDC) moves in grids for data collection within the application delay and moving trajectory is guided by rendezvous. Due to the limited battery capacity of mobile wirelsee charging vehicle (WCV) and its energy consumption while cruising, an adaptive charging schedule scheme is proposed for maximizing recharging benefit. With extensive simulation, we demonstrate that MDC-ACS scheme can achieve better charging benefit and reduce average charging delay.

原文English
主出版物標題Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
編輯Hui Tian, Hong Shen, Wee Lum Tan
發行者Institute of Electrical and Electronics Engineers Inc.
頁面496-500
頁數5
ISBN(電子)9781728126166
DOIs
出版狀態Published - 12月 2019
對外發佈
事件20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019 - Gold Coast, Australia
持續時間: 5 12月 20197 12月 2019

出版系列

名字Proceedings - 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

Conference

Conference20th International Conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019
國家/地區Australia
城市Gold Coast
期間5/12/197/12/19

UN SDG

此研究成果有助於以下永續發展目標

  1. Affordable and clean energy
    Affordable and clean energy

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