Clustering optimal design in wireless sensor network using ant colony optimization

Clustering optimal design in wireless sensor network using ant colony optimization

0.00 Avg rating0 Votes
Article ID: iaor20103054
Volume: 26
Issue: 3
Start Page Number: 341
End Page Number: 350
Publication Date: Sep 2009
Journal: Korean Management Science Review
Authors: ,
Keywords: design, heuristics: ant systems
Abstract:

The objective of this paper is to propose an ant colony optimization (ACO) for clustering design in wireless sensor network problem. This proposed ACO approach is designed to deal with the dynamics of the sensor nodes which can be adaptable to topological changes to any network graph in a time. Long communication distances between sensors and a sink in a sensor network can greatly consume the energy of sensors and reduce the lifetime of a network. We can greatly minimize the total communication distance while minimizing the number of cluster heads using proposed ACO. Simulation results show that our proposed method is very efficient to find the best solutions comparing to the optimal solution using CPLEX in 100, 200, and 400 node sensor networks.

Reviews

Required fields are marked *. Your email address will not be published.