DocumentCode :
1772836
Title :
Schedulability decision of charging missions in wireless rechargeable sensor networks
Author :
Cheng Hu ; Yun Wang
Author_Institution :
Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
fYear :
2014
fDate :
June 30 2014-July 3 2014
Firstpage :
450
Lastpage :
458
Abstract :
Wireless Rechargeable Sensor Networks (WRSNs) have received wide attention in recent years due to their potential to solve the energy problem. With a Mobile Charger (MC), the newly developed charging schemes can be readily applied on a WRSN running traditional protocols. An essential issue in deploying a WRSN is to decide the schedulability of its charging mission. Because one must determine whether the MC can guarantee that no sensor node will stop working within a target lifetime, before designing any specific charging schemes. To tackle the decision problem, this paper proposes an optimistic and a pessimistic condition that can efficiently determine the schedulability of a charging mission. Both of the decision conditions are derived from a generalized formulation of charging schedules. If the MC meets the optimistic condition of a charging mission, a simple and efficient charging scheme can be immediately applied to keep continuous working of the WRSN. While if the pessimistic condition of a charging mission is not met, no valid charging schedule exists. Three methods can be considered when schedulability of a charging mission is still undetermined.
Keywords :
radiofrequency power transmission; scheduling; wireless sensor networks; WRSN; charging mission schedulability; mobile charger; schedulability decision; wireless rechargeable sensor networks; Batteries; Energy consumption; Mobile communication; Nickel; Optimization; Schedules; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensing, Communication, and Networking (SECON), 2014 Eleventh Annual IEEE International Conference on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/SAHCN.2014.6990383
Filename :
6990383
Link To Document :
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