Particle Swarm Optimization based Secure Aware Energy-Efficient Routing in Wireless Sensor Network

What is it about?

The Wireless Sensor Network (WSN) is an interconnected of Sensor Nodes (SN) which are combined with one other in network through wireless. The main objective of the WSN design is to maximize the network lifetime. The network lifetime can be extended and energy consumption can be balanced properly through the utilization of clustering and routing. However, the WSN’s restricted battery supply means that energy efficiency is observed as a complex task in a network. In this paper, Hybrid of Salp Swarm Algorithm and Particle Swarm Optimization (HSSPSO) is proposed to maximize the efficiency of energy in WSN. The secure aware Cluster Head (CH) and route path from the network are selected by utilizing HSSPSO. The proposed HSSPSO minimizes the usage of energy nodes when maximizing the data transmission in WSN. The performance of HSSPSO is evaluated using throughput, packet delivery ratio, delay and energy efficiency by various nodes of 100, 200, 300 and 400. The HSSPSO attained a high throughput of 580kbps and packet delivery ratio of 99.4% with less delay of 12.3ms and energy consumption of 321.8J when compared to existing methods like Enhanced Trust-Based Secure Route Protocol (ETBSRP) and Enhanced Energy Efficient-Secure Routing (EEE-SR) protocol.

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Why is it important?

This paper proposes Hybrid Salp Swarm Algorithm and Particle Swarm Optimization (HSSPSO) for maximizing energy efficiency in Wireless Sensor Networks (WSN), achieving high throughput, packet delivery ratio, and energy efficiency, outperforming existing protocols like ETBSRP and EEE-SR.

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