TY - JOUR
T1 - Utility-Aware Charging Scheduling for Multiple Mobile Chargers in Large-Scale Wireless Rechargeable Sensor Networks
AU - Ouyang, Wenyu
AU - Liu, Xuxun
AU - Obaidat, Mohammad S.
AU - Lin, Chi
AU - Zhou, Huan
AU - Liu, Tang
AU - Hsiao, Kuei Fang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Charging scheduling
KW - Charging utility
KW - Idle difference
KW - Path merging
KW - Wireless rechargeable sensor network
UR - http://www.scopus.com/inward/record.url?scp=85086712502&partnerID=8YFLogxK
U2 - 10.1109/TSUSC.2020.3003014
DO - 10.1109/TSUSC.2020.3003014
M3 - 文章
AN - SCOPUS:85086712502
SN - 2377-3782
VL - 6
SP - 679
EP - 690
JO - IEEE Transactions on Sustainable Computing
JF - IEEE Transactions on Sustainable Computing
IS - 4
ER -