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  An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem
 
 
Title: An Efficient Method Based on Genetic Algorithms to Solve Sensor Network Optimization Problem
Author: Ehsan Heidari
Ali Movaghar
Appeared in: The international journal on applications of graph theory in wireless ad hoc networks and sensor networks : J GRAPH-HOC
Paging: Volume 3 (2011) nr. 1 pages 18-33
Year: 2011
Contents: Minimization of the number of cluster heads in a wireless sensor network is a very important problem toreduce channel contention and to improve the efficiency of the algorithm when executed at the level ofcluster-heads. In this paper, we propose an efficient method based on genetic algorithms (GAs) to solve asensor network optimization problem. Long communication distances between sensors and a sink in asensor network can greatly drain the energy of sensors and reduce the lifetime of a network. By clusteringa sensor network into a number of independent clusters using a GA, we can greatly minimize the totalcommunication distance, thus prolonging the network lifetime. Simulation results show that our algorithmcan quickly find a good solution.
Publisher: Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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