A performance evaluation of a coverage compensation based algorithm for wireless sensor networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Geographical data collection in sensor networks with self-organizing transaction cluster-heads
Proceedings of the 2009 ACM symposium on Applied Computing
Evolutionary genetic algorithm for efficient clustering of wireless sensor networks
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Pareto-based evolutionary computational approach for wireless sensor placement
Engineering Applications of Artificial Intelligence
WSN clustering using IC-SVD algorithms
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
International Journal of Communication Systems
Stable-Aware Evolutionary Routing Protocol for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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We use a genetic algorithm (GA) to create energy efficient clusters for routing in wireless sensor networks. The simulation results show that the proposed intelligent hierarchical clustering technique is more energy efficient than a few existing cluster-based routing protocols. Further, the gradual energy depletion in sensor nodes is also investigated.