IMKREC: Improved k-means Algorithm Method for Reducing Energy Consumption in Wireless Sensor Networks
Atefeh Heydariyan, Amir Abbas Baradaran, Elham Rezaei · 2013
In this paper an algorithm is proposed based on clustering routing in wireless sensor networks; Moreover, reduction of energy consumption and network lifetime increasing are the most important issues in designing practical programs and wireless sensor network algorithms; meanwhile, clustering of sensor networks plays an effective role of either more suitable management or measurability of these networks, so(IMKREC: Improved k-means algorithm Method for Reduce Energy Consumption in Wireless Sensor Networks) algorithm is a new technique for election of the best Cluster Head in this algorithm, we can eliminate some problems of K-means algorithm and improve them as well, with the network is converted to grids and election center of gravity of each cluster, and considering energy parameters ∞ distance as well, so simulation results show that presented algorithm of lifetime improves effectively measurability and average of network energy consumption in compare of previous mentioned clustering algorithms.