A Clustering-Based Optimized Stable Election Protocol in Wireless Sensor Networks

Abstract

In a wireless sensor network (WSN), clustering plays an important role in effective utilization of power consumption of its batteries. The batteries indicate the effectiveness of the deployed networks in terms of their lifespan. Generally, a massive quantity of energy of the nodes is used in the internal and external communications in WSN. There is a need for an energy-saving mechanism for effective and efficient communication. In this work, we propose an optimized stable election protocol for enhancing the lifespan of homogeneous and heterogeneous networks. In optimized stable election protocol, a fuzzy-based clustering technique is proposed along with the chain-based data collection and data aggregation process. It considers three parameters for effective clustering, namely, residual energy of a sensor node, node density within a cluster, and the distance between the sensor node and the base station. The proposed method considers a chain-based data gathering and transmission process for intra- and intercluster communication. A data aggregation process is also introduced for removing the redundant data which helps in decreasing the transmission cost and overhead of the networks. We used MATLAB to evaluate the performance of the proposed optimized stable election protocol and deliberate the simulation matric parameters, namely, alive and dead nodes, energy consumption, and throughput. The simulation results show that the proposed optimized stable election protocol outperforms the other existing protocol.