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Details for article 3 of 4 found articles
| 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 |
Details for article 3 of 4 found articles
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