DocumentCode
2092820
Title
Distributed Lifetime Optimization in Wireless Sensor Networks
Author
Bahi, Jacques M. ; Haddad, Mohammed ; Hakem, Mourad ; Kheddouci, Hamamache
Author_Institution
LIFC Lab., Univ. de Franche-Comte, Besançon, France
fYear
2011
fDate
2-4 Sept. 2011
Firstpage
432
Lastpage
439
Abstract
Lifetime optimization becomes a commonplace feature of wireless sensor networks. In addition, as the scale is expanding, node reliabilities gradually become dynamically heterogeneous over time even if sensor nodes are symmetric by design. At the same time, as sensor nodes get smaller and approach technological limits, they suffer from increased susceptibility to wear-out which becomes a real problem as complex sensor networks with many nodes operate in unsafe and harsh environments for long times. Con sequently, there is an increasing need for developing techniques to achieve more reliability, i.e., increase the net work´s operational time. In this paper, we introduce an efficient distributed failure-aware strategy (on-line solution) using probabilistic Weibull distribution to resist to frequent and unexpected fail-silent/fail-stop node failures. We provide a comprehensive set of experimental results, that fully demonstrate the usefulness of the proposed solution.
Keywords
Weibull distribution; optimisation; telecommunication network reliability; wireless sensor networks; complex sensor networks; distributed failure-aware strategy; distributed lifetime optimization; fail-silent/fail-stop node failures; node reliabilities; online solution; operational time; probabilistic Weibull distribution; sensor nodes; wireless sensor networks; Monitoring; Optimization; Probability density function; Reliability; Shape; Weibull distribution; Wireless sensor networks; lifetime optimization; reliability; sensor networks; weibull distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on
Conference_Location
Banff, AB
Print_ISBN
978-1-4577-1564-8
Electronic_ISBN
978-0-7695-4538-7
Type
conf
DOI
10.1109/HPCC.2011.63
Filename
6063022
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