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An energy-based clustering method for WSNs using artificial bee colony and genetic algorithm | IEEE Conference Publication | IEEE Xplore

An energy-based clustering method for WSNs using artificial bee colony and genetic algorithm


Abstract:

The limited number of resources in Wireless sensor Networks (WSNs) and long communication distance between sensors and base station causes high energy consumption and con...Show More

Abstract:

The limited number of resources in Wireless sensor Networks (WSNs) and long communication distance between sensors and base station causes high energy consumption and consequently reduce the network lifetime. Therefore one of the important parameters in these networks is the optimized energy consumption. One way to reduce the energy consumption is to cluster the network. In this study, a dynamic clustering method is presented based on the artificial bee colony and the genetic algorithm. In fact, the genetic algorithm is used for determining the cluster heads and the artificial bee colony algorithm is used for determining member nodes in each cluster. The proposed algorithms were simulated by OMNeT++simulator. Simulation results showesome improvements.
Date of Conference: 07-09 March 2017
Date Added to IEEE Xplore: 08 June 2017
ISBN Information:
Conference Location: Kerman, Iran

References

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