Open Access

ARTICLE

Improved Rat Swarm Based Multihop Routing Protocol for Wireless Sensor Networks

H. Manikandan^1,*, D. Narasimhan²

1 Department of CSE, Srinivasa Ramanujan Centre, SASTRA Deemed University, Thanjavur, Tamil Nadu 613401, India
2 Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed University, Thanjavur, Tamil Nadu 613401, India

* Corresponding Author: H. Manikandan. Email:

Intelligent Automation & Soft Computing 2023, 35(3), 2925-2939. https://doi.org/10.32604/iasc.2023.029754

Received 10 March 2022; Accepted 12 April 2022; Issue published 17 August 2022

Abstract

Wireless sensor networks (WSNs) encompass a massive set of sensor nodes, which are self-configurable, inexpensive, and compact. The sensor nodes undergo random deployment in the target area and transmit data to base station using inbuilt transceiver. For reducing energy consumption and lengthen lifetime of WSN, multihop routing protocols can be designed. This study develops an improved rat swarm optimization based energy aware multi-hop routing (IRSO-EAMHR) protocol for WSN. An important intention of the IRSO-EAMHR method is for determining optimal routes to base station (BS) in the clustered WSN. Primarily, a weighted clustering process is performed to group the nodes into clusters and select cluster heads (CHs). Next, the IRSO-EAMHR approach derives a fitness function containing three input parameters (residual energy, distance, and node degree) for routing process. The IRSO technique was designed by the integration of Levy movement concepts into the traditional RSO algorithm. The experimental result analysis of the IRSO-EAMHR technique is carried out and the outcomes are examined in various aspects. The simulation outcomes demonstrate the promising performance of the IRSO-EAMHR technique over the recent state of art approaches.

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Keywords

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