Energy efficient K-means clustering-based routing protocol for WSN using optimal packet size

Abstract

In wireless sensor networks (WSNs), sensor nodes are operated by small batteries, thus they have limited energy resources which need careful utilization. The proposed algorithm is an energy efficient K-means clustering-based routing protocol and considers an optimal fixed packet size according to the radio parameters and channel conditions of the transceiver. This approach can minimize the energy consumption of individual node and increase the network lifetime as a whole. Moreover, different power levels are considered for data transmission from cluster head to cluster member and base station. Simulation results show that the proposed algorithm performs better than the conventional K-means based energy aware clustering (KEAC) in terms of network lifetime and increases the overall throughput of the network.