DocumentCode
60195
Title
Optimal Scheduling for Quality of Monitoring in Wireless Rechargeable Sensor Networks
Author
Peng Cheng ; Shibo He ; Fachang Jiang ; Yu Gu ; Jiming Chen
Author_Institution
State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume
12
Issue
6
fYear
2013
fDate
Jun-13
Firstpage
3072
Lastpage
3084
Abstract
Wireless Rechargeable Sensor Network (WRSN) is an emerging technology to address the energy constraint in sensor networks. The protocol design in WRSN is extremely challenging due to the complicated interactions between rechargeable sensor nodes and readers, capable of mobility and functioning as energy distributors and data collectors. In this paper, we for the first time investigate the optimal scheduling problem in WRSN for stochastic event capture, i.e., how to jointly mobilize the readers for energy distribution and schedule sensor nodes for optimal quality of monitoring (QoM). We analyze the QoM for three application scenarios: i) the reader travels at a fixed speed to recharge sensor nodes and sensor nodes consume the collected energy in an aggressive way, ii) the reader stops to recharge sensor nodes for a predefined time during its periodic traveling and sensor nodes deplete energy aggressively, iii) the reader stops to recharge sensor nodes but sensor nodes can adopt optimal duty cycle scheduling for maximal QoM. We provide analytical results for achieving the optimal QoM under arbitrary parameter settings. Extensive simulation results are offered to demonstrate the correctness and effectiveness of our results.
Keywords
quality of service; stochastic processes; wireless sensor networks; QoM; WRSN; energy constraint; energy distribution; optimal duty cycle scheduling; optimal scheduling; quality of monitoring; sensor nodes; stochastic event capture; wireless rechargeable sensor network; Optimal scheduling; stochastic event capture; wireless rechargeable sensor networks;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2013.050313.121691
Filename
6515984
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