DocumentCode :
2348001
Title :
Connectivity Issue in Wireless Sensor Networks by Using Depth-First Search and Genetic Algorithm
Author :
Sheramin, G.Y. ; Ebrahimian, Naser ; Navin, Ahmad Habibizad ; Mirnia, Mir Kamal
Author_Institution :
Islamic Azad Univ., Tabriz, Iran
fYear :
2010
fDate :
26-28 Nov. 2010
Firstpage :
377
Lastpage :
381
Abstract :
Sensing coverage and network connectivity are two of the most fundamental problems in wireless sensor networks. Finding an optimal node deployment strategy that would minimize cost, reduce computation and communication overhead, be resilient to node. In this paper, we consider wireless sensor networks satisfying the case that each node either monitors one target or is just for connection. We want to use the fewer nodes in connectivity. We aim this goal by using DFS and on - off operation, that due to less consuming energy.
Keywords :
genetic algorithms; tree searching; wireless sensor networks; communication overhead reduction; computation overhead reduction; depth-first search; genetic algorithm; network connectivity; optimal node deployment strategy; wireless sensor networks; Depth-first search; Genetic Algorithm; Lifetime; Low power; Wireless Sensor network; connectivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4244-8653-3
Electronic_ISBN :
978-0-7695-4254-6
Type :
conf
DOI :
10.1109/CICN.2010.149
Filename :
5701998
Link To Document :
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