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论文类型：期刊论文

发表时间：2016-10-01

发表刊物：17th IEEE International Conference on High Performance Computing and Communications (HPCC) / 12th IEEE International Conference on Embedded Software and Systems (ICESS)

收录刊物：SCIE、EI、CPCI-S、Scopus

卷号：70

期号：,SI

页面范围：26-38

ISSN号：1383-7621

关键字：Wireless rechargeable sensor networks; Charging scheduling; Temporal & distantial priority charging; scheduling; Preemption; On-demand charging architecture

摘要：Recently, adopting mobile energy chargers to replenish the energy supply of sensor nodes in wireless sensor networks has gained increasing attentions from the research community. The utilization of the mobile energy chargers provides a more reliable energy supply than systems harvesting dynamic energy from the surrounding environment Wireless power transfer technique provides a new alternative for solving the limited power capacity problem for so many popular mobile wireless devices, and makes wireless rechargeable sensor networks (WRSNs) promising. However, mainly due to the underestimate of the unbalanced influences of spatial and temporal constraints posed by charging requests, traditional scheduling strategies for on-demand WRSNs architecture achieve rather low charging request throughput or successful rate, posing as a major bottleneck for further improvements. In this paper, we propose a Temporal & Distantial Priority charging scheduling algorithm (TADP), which takes both the distance between nodes and the mobile charger and the arrival time of charging requests into consideration, and quantizes these two factors step by step. TADP forms a mixed priority queue which directs mobile charger to replenish the energy for nodes. At last extensive simulations are conducted to demonstrate the advantages of TADP. Simulation results reveal that TADP can achieve better scheduling performance in guaranteeing the scheduling success of the high-priority tasks and improving stability of the system. (C) 2016 Elsevier B.V. All rights reserved.