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Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs
Joint Authors
Chen, Zhigang
Gui, Weihua
Qing-hua, Li
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-07
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In multihop data collection sensor network, nodes near the sink need to relay on remote data and, thus, have much faster energy dissipation rate and suffer from premature death.
This phenomenon causes energy hole near the sink, seriously damaging the network performance.
In this paper, we first compute energy consumption of each node when sink is set at any point in the network through theoretical analysis; then we propose an online distributed algorithm, which can adjust sink position based on the actual energy consumption of each node adaptively to get the actual maximum lifetime.
Theoretical analysis and experimental results show that the proposed algorithms significantly improve the lifetime of wireless sensor network.
It lowers the network residual energy by more than 30% when it is dead.
Moreover, the cost for moving the sink is relatively smaller.
American Psychological Association (APA)
Qing-hua, Li& Gui, Weihua& Chen, Zhigang. 2014. Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-1051487
Modern Language Association (MLA)
Qing-hua, Li…[et al.]. Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs. The Scientific World Journal No. 2014 (2014), pp.1-24.
https://search.emarefa.net/detail/BIM-1051487
American Medical Association (AMA)
Qing-hua, Li& Gui, Weihua& Chen, Zhigang. Optimal Location through Distributed Algorithm to Avoid Energy Hole in Mobile Sink WSNs. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-1051487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051487