Energy Efficient Routing Protocol tuned with whale optimization algorithm in Heterogeneous WSN

Abstract

Heterogeneous wireless sensor network (WSN) has the potential to improve the network node life time and optimal energy to do quality communication. The sensor nodes (SN) have the restricted power and inefficient transmission is the major problem in WSN. In this paper, the whale optimization algorithm (WOA) is adopted to utilize to create the cluster head and the routing is based on Fuzzy based energy efficient routing protocol for the data transmission in quality manner. The multi-objective parameters considered here for optimization are node density, average distance and the quality of received power in order to enable the computing operation. The whale optimization inspired with the behavior of humpback whales to get an optimal solution. The combination WOA and Fuzzy based routing increases the node coverage and to reduce the computational complexity. The network is assessed through comparison with the benchmark algorithms proposed in previous research. The outcome of this research is better throughput, energy consumption, Network life time and load balancing ratio.