Utility-Aware Charging Scheduling for Multiple Mobile Chargers in Large-Scale Wireless Rechargeable Sensor Networks

Wenyu Ouyang, Xuxun Liu, Mohammad S. Obaidat, Chi Lin, Huan Zhou, Tang Liu, Kuei Fang Hsiao

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Mobile charging can provide stable and reliable energy replenishment for wireless rechargeable sensor network (WRSN). However, relatively low charging utility exists in existing solutions. In this paper, we present a utility-based collaborative charging (UBCC) strategy to maximize the charging utility of mobile chargers (MCs) in large-scale WRSNs. Charging MCs and server MCs are employed to jointly achieve our goal by three aspects. First, a path merging scheme is designed to save the traveling paths of MCs. Unlike existing studies with entirely diverse movement trajectories of MCs, the same traveling path is assigned to both the departure charging MCs and the return MCs, which serve different charging areas. Second, an idle-difference alleviating scheme is devised to improve the utilization rate of MCs. Different from current solutions with a large difference of working hours of MCs, each charging MC is assigned the equal charging tasks, resulting in synchronous charging and simultaneous energy replenishment of MCs. Third, an energy-waste averting scheme is designed to maximize the energy utilization of MCs. The energy of each MC is just exhausted until the MC completes its charging tasks and traveling roles. Extensive simulation results demonstrate the advantages of UBCC in the charging cost and charging utility.

Original languageEnglish
Pages (from-to)679-690
Number of pages12
JournalIEEE Transactions on Sustainable Computing
Volume6
Issue number4
DOIs
StatePublished - 2021
Externally publishedYes

Keywords

  • Charging scheduling
  • Charging utility
  • Idle difference
  • Path merging
  • Wireless rechargeable sensor network

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