Energy efficient sleep schedule with service coverage guarantee in wireless sensor networks

Zhang, Bo, Tong, Endong, Hao, Jie, Niu, Wenjia and Li, Gang 2016, Energy efficient sleep schedule with service coverage guarantee in wireless sensor networks, Journal of network and systems management, vol. 24, no. 4, pp. 834-858, doi: 10.1007/s10922-015-9361-9.

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Title Energy efficient sleep schedule with service coverage guarantee in wireless sensor networks
Author(s) Zhang, Bo
Tong, Endong
Hao, Jie
Niu, Wenjia
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Journal name Journal of network and systems management
Volume number 24
Issue number 4
Start page 834
End page 858
Total pages 25
Publisher Springer
Place of publication New York, N.Y.
Publication date 2016-10
ISSN 1064-7570
1573-7705
Keyword(s) wireless sensor network
service oriented architecture
energy efficienty
service coverage
sleep schedule
Summary Service oriented architecture has been proposed to support collaborations among distributed wireless sensor network (WSN) applications in an open dynamic environment. However, WSNs are resource constraint, and have limited computation abilities, limited communication bandwidth and especially limited energy. Fortunately, sensor nodes in WSNs are usually deployed redundantly, which brings the opportunity to adopt a sleep schedule for balanced energy consumption to extend the network lifetime. Due to miniaturization and energy efficiency, one sensor node can integrate several sense units and support a variety of services. Traditional sleep schedule considers only the constraints from the sensor nodes, can be categorized to a one-layer (i.e., node layer) issue. The service oriented WSNs should resolve the energy optimization issue considering the two-layer constraints, i.e., the sensor nodes layer and service layer. Then, the one-layer energy optimization scheme in previous work is not applicable for service oriented WSNs. Hence, in this paper we propose a sleep schedule with a service coverage guarantee in WSNs. Firstly, by considering the redundancy degree on both the service level and the node level, we can get an accurate redundancy degree of one sensor node. Then, we can adopt fuzzy logic to integrate the redundancy degree, reliability and energy to get a sleep factor. Based on the sleep factor, we furthermore propose the sleep mechanism. The case study and simulation evaluations illustrate the capability of our proposed approach.
Language eng
DOI 10.1007/s10922-015-9361-9
Field of Research 0805 Distributed Computing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083366

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