Title: Energy efficient and lifetime aware clustering and routing using improved rabbit optimisation algorithm in WSN

Authors: Roma Saxena; Akhtar Husain

Addresses: MJP Rohilkhand University, Bareilly, Uttar Pradesh, India ' Department of Computer Science and Information Technology, Faculty of Engineering and Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India

Abstract: One of the most difficult tasks when building a routing model for a wireless sensor network (WSN) is energy efficiency. However, the sensor node only uses a small amount of energy when sending data to the sink node. The suggested method makes use of an efficient technique to increase energy efficiency and extend the network life cycle. To select the optimal cluster head, the improved rabbit optimisation algorithm (IROA) is initially used. Levy flight updation is used in this instance to enhance the conventional ROA method. Next, the secondary cluster head is chosen to improve the network's energy efficiency based on weight of sensor node. Finally, the improved rabbit optimisation algorithm (IROA) chooses the best route. In terms of energy efficiency, network lifetime, delivery ratio, and throughput the suggested scheme's performance is evaluated. The average performance metrics obtained by the suggested method are 79% of delivery ratio, 56.8 kbps of throughput, 43.6J of energy, and 6.4 hours of network life.

Keywords: wireless sensor networks; WSNs; rabbit optimisation algorithm; ROA; levy flight; delivery ratio; throughput; energy consumption and network life time.

DOI: 10.1504/IJCNDS.2024.140680

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.5, pp.617 - 638

Received: 07 Sep 2023
Accepted: 23 Sep 2023
Published online: 30 Aug 2024 *

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