A Clustering Based Optimized PEGASIS in Wireless Sensor Networks

Abstract

The wireless sensor network (WSN) is an evolving technology where clustering performs an imperative part in effective utilization of energy dissipation of its batteries for monitoring the physical world. The batteries indicate the effectiveness of the deployed networks in terms of their lifespan. Generally, most of energy of sensors is consumed in the communication process between the sensor nodes and sink. Thus, a effective mechanism is required for balancing the communication load among the sensor. In this work, we propose an optimize PEGASIS protocol for enhancing the lifespan of homogeneous and heterogeneous networks. In the optimization of PEGASIS protocol, a fuzzy system is considered for selecting the cluster head (CH) along with data aggregation and data collection using chain-based process. It considers three parameters for effective clustering namely sensor node residual energy, cluster density, and, sensor and base station distance. The proposed method deliberates a chain based process for efficient data communication within the cluster and outside the cluster. It also introduces a data gathering process which remove the redundancy of the data. The removal of redundancy of the data helps in saving the energy and also decrease the network overheads. The performance of the proposed optimized PEGASIS protocol investigated by using MATLAB and deliberate the simulation matric parameters namely: alive and dead nodes, throughput, and energy consumption. The simulation outcomes of the proposed optimized PEGASIS protocol outperforms than the other existing protocol.