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
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;
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
DOI :
10.1109/HPCC.2011.63