Chimp Optimization Algorithm based Energy Aware Secure Routing Protocol for Wireless Sensor Networks

Abstract

Wireless sensor network (WSN) comprises a massive collection of inexpensive, smart, and compact sensor nodes for data collection and tracking applications in real time. Availability of limited energy and security are considered as the major issues in the WSN. One of the most common energy efficient solutions for WSN is the routing protocol. Since the data transmission in WSN takes place in wireless links, security becomes a major issue and secure routing protocols need to be designed. In this aspect, this study develops a Chimp Optimization Algorithm based Energy Aware Secure Routing Protocol (COA-EASRP) for WSN. The proposed COA-EASRP technique mainly focuses to derive optimal routes in WSN and thereby accomplishes security. In addition, the COA-EASRP technique has derived an objective functioning involving different parameters namely energy, trust, and delay. The route with maximum energy and trust with minimal delay will be chosen as optimal route by the COA-EASRP technique. In order to demonstrate the enhanced outcomes of the COA-EASRP approach, a series of simulations are implemented and the outcomes are examined in different metrics. The extensive comparative study reported the supremacy of the COA-EASRP technique compared to recent approaches.