CSO_TSO: HYBRID SWARM OPTIMIZATION ALGORITHM BASED ENERGY AWARE SECURE ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS

Abstract

Wireless Sensor Network (WSN) is a large collection of low-cost, intelligent, and small sensor nodes used for real-time data collecting and tracking purposes. The primary concerns of the WSN are the restricted availability of energy and the need for security. The routing protocol is a frequently used energy-efficient method for WSN. Due to the wireless nature of data transfer in WSN, ensuring security is of utmost importance, necessitating the development of safe routing methods. This project aims to enhance energy efficiency and security in routing by combining Cat Swarm Optimization with Tunicate Swarm Optimization Algorithm Routing Protocol (CSO_TSORP). The hybrid CSO-TSO algorithm is employed to optimize route selection by minimizing energy consumption during data transmission and ensuring secure communication between nodes. CSO's exploration capabilities allow the protocol to search for optimal routes by avoiding congested or energy-draining nodes, while TSO's attraction-repulsion dynamics refine the routing paths to enhance security. The integration of swarm intelligence-based optimization techniques in the routing process helps improve the network's lifetime by conserving energy and dynamically selecting the most secure paths. The proposed protocol guarantees the safe distribution of keys, thwarts malicious assaults, and adjusts to the ever-changing network structure of WSNs, achieving a harmonious balance between energy efficiency and security in environments with limited resources. To illustrate the improved results of the CSO_TSO technique, several simulations are run and the results are analyzed using various metrics. The proposed CSO_TSO RP achieves a14.5 sec delay, 286kbps of throughput, 15.5% of energy consumption, 98.5% of PDR, 21.45sec encryption time and 23.6 Decryption time.