Energy and Security Aware Hybrid Optimal Cluster-based Routing in Wireless Sensor Network

Abstract

Clustering is a main component for establishing WSN routing since it promotes scalability and increases network lifetime. Cluster heads (CHs) in a clustered WSN allocate their maximum energy to a different node. Despite the widespread use of WSNs, only a few applications require rapid data transport with less interruption. Many applications concentrate on throughput while paying little attention to latency. Thereby, there arises the need to develop a new secure-aware routing in WSN. This paper aims to propose a WSN cluster-based routing model that follows: (i) Cluster head selection (CHS) and (ii) Routing. Initially, the CHS is made optimal to ensure the appropriate clustering of nodes in the WSN. Moreover, the CHS is carried out by considering risk, delay, energy and distance. This parameter consideration ensures the energy efficiency and the security aspect while routing the data packets. For this optimal CHS, a new Remora Customized Shark Optimization (RCSO) is introduced. After clustering using the optimal CH, optimal routing takes place by concerning link quality (proposed evaluation), trust (proposed trust evaluation) and distance (inter-cluster and intra-cluster distance). The optimal routing is performed using a novel RCSO algorithm. At last, the performance of the suggested RCSO is analyzed over conventional approaches with regard to several factors. The residual energy using RCSO is maximum around 0.28 at the 2000th iteration when compared to conventional methods.