Secure Routing Using Hybrid Sine Cosine Reptile Search and Remora Optimization Algorithm for WSN

Abstract

Wireless Sensor Network (WSN) is a promising technique for wide-range applications because of its lower installation cost. Data security and energy optimization are taken as significant security tasks when creating the network topology of WSN. The data transmission becomes secure less due to open source which leads to malicious nodes. The issue of malicious nodes needs to be addressed to improve data delivery and consumption of energy. As wireless sensor devices operate under energy constraints, it's crucial to tackle the issue of high packet loss caused by malicious nodes. This is essential for improving network performance by reducing both delay and energy consumption. In this research, the Hybrid Sine Cosine Reptile Search Algorithm (SCRSA) - Remora Optimization Algorithm (ROA) is proposed to choose optimum Cluster Heads (CHs) from network, and a secure route path is produced by hybrid SCRSA-ROA. The fitness functions taken for secure CHs and routing are trust value, residual energy, distance, node degree, and no. of hops. Hence, the proposed algorithm provides security against malicious nodes while energy consumption is reduced by finding the shortest route. The proposed approach obtained reduced energy consumption of 0.35 J, 0.89 J, 1.56 J, 2.45 J, and 3.17 J for 100, 150, 200, 250, and 300 nodes which are more effective than other existing algorithms like Taylor-based Cat Salp Swarm Algorithm (Taylor C-SSA) and Multi-Objective Trust Centric Artificial Algae Algorithm (M-TCAAA).