Using Matrix Convolutions and Clustering for Energy Efficient Routing Algorithm in Sensor Networks

Abstract

The performance of the Wireless Sensor Networks (WSNs) is strongly affected by the limited capacity of the sensor nodes which form these networks. In fact, this limited capacity has a great influence on the lifetime of the wireless sensor networks. So an effective management of the consumed power of the nodes can increase the network lifetime. Various algorithms have been proposed to optimize the energy conservation. Most of these algorithms try to achieve this goal by focusing on energy efficient routing. In this paper, we propose a new centralized routing algorithm, in which we have represented the energy capacity of a wireless sensor network as an image. Then we have used the matrix convolution to choose the more economical energy path to minimize energy consumption in the entire network.