Energy Aware Routing Mechanism for Wireless Sensor Network using Enhanced Chemokine Operation for Optimal CH Selection

Authors

  • K. Sreelatha Research Scholar, 2Associate Professor, Department of Computer Science, VISTAS, Chennai,
  • T. Sreekala Research Scholar, 2Associate Professor, Department of Computer Science, VISTAS, Chennai,

Keywords:

Optimization, WSN, energy efficiency, routing, swarm intelligence, energy consumption, lifetime

Abstract

Geographic routing has been viewed as an interesting technique in the resource-constrained wireless sensor network (WSN), where it uses the node's location information rather than the global topology to send the data. When a heterogeneous device uses the WSN routing protocol and high energy is employed for data transmission, routing problems might arise. The battery's capacity and energy efficiency determine how long the sensor network will last. Thus, for WSN to function properly, battery capacity enrichment and energy utilisation are essential. A significant adjustment is made to the network structure and data transmission environment in order to meet this demand. A cluster-based routing system is started, and it makes use of an optimization-based cluster mechanism to enhance throughput while minimising energy usage. Artificial Fish Swarm Optimization is used to pick the cluster heads, and the bacterial foraging method is used for routing. The suggested approach's goal function offers a reliable routing method. The simulation results' presentation demonstrates how to balance the size of the cluster with the available data transmission bandwidth. The results show that the energy usage is lowest for a variety of nodes when the suggested strategy is compared to the current methodology.

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Published

05.12.2023

How to Cite

Sreelatha, K. ., & Sreekala, T. . (2023). Energy Aware Routing Mechanism for Wireless Sensor Network using Enhanced Chemokine Operation for Optimal CH Selection. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 129–139. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4047

Issue

Vol. 12 No. 7s (2024)

Section

Research Article

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