Chaotic Hippopotamus based Energy Efficient Routing for Wireless Sensor Networks

The energy efficient routing in wireless sensor network (WSN) is crucial for enhancing the network longevity. For this, energy efficient routing protocol is introduced with cluster based routing. Initially, the sensor nodes are deployed randomly in the network area and are clustered together using the Chaotic Hippopotamus Optimization (ChHipO) Algorithm. The algorithm considers remaining energy, delay and distance as the multi-objective fitness factor for choosing the cluster head (CH) using the ChHipO Algorithm. The proposed ChHipO Algorithm integrates iterative chaotic mapping in the hippopotamus optimization algorithm for improving the rate of convergence. The analysis of ChHipO Algorithm based on residual energy, network lifetime, throughput and end-to-end delay acquired the values of 0.87, 99.728, 99.589 and 3.01 respectively.