KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms

Abstract

In this paper, we present a method by which we can significantly reduce energy consumption in sensor networks. In the proposed method, finding an optimum Cluster Head (CH) is performed by Genetic Algorithm (GA) and clustering the network environment is done by k-means algorithm. The results of simulation show that at the end of some certain part of running the proposed algorithm, the number of alive nodes increases, comparing with the same previous methods and this can lead to an increase in sensor network lifetime.

Etdwsn An Method For Energy Efficiency Increase By Combining The Index Parameters In Wireless Sensor Networks

“…Wireless Sensor Networks are used as a technology to supply the sensitive geographical equipment in the large development area of these electronic devices [1]. The applications of Wireless Sensor Network includesecurity detection systems, surveillance [2], military, target tracking, habitat monitoring [3], medical industry and its applications [4] and likeso many articles have reviewed the energy efficiency in Wireless Sensor Networks. In a wireless sensor network, the request message is broadcasted to all nodes on the network by the base station.…”