Title: Oppositional remora based AUV path planning with optimal energy efficient data collection in underwater wireless sensor network

Authors: A. Arul Rex; R. Jemila Rose; A. Alphiya

Addresses: Department of Information Technology, St. Xavier's Catholic College of Engineering, Chunkankadai, Nagercoil, 629003, Tamil Nadu ' Department of Artificial Intelligence and Data Science, St. Xavier's Catholic College of Engineering, Chunkankadai, Nagercoil, 629003, Tamil Nadu ' Department of Electronics and Communication Engineering, Ponjesly College of Engineering, Nagercoil, 629003, Tamil Nadu

Abstract: In the proposed model, the data packets are sent from the autonomous underwater vehicles (AUVs) to the base station. When creating underwater wireless sensor networks (UWSNs), it is essential to consider the energy consumption of AUVs. Still, it can be difficult to choose an AUV's optimal path. To solve this issue, the suggested method utilises the optimal path selection. This is addressed by the oppositional remora optimisation algorithm (OROA). The performance of the proposed method is assessed in terms of residual energy, network lifetime, delivery ratio, energy consumption, and delay. The suggested solution provides average performance parameters of 95% packet delivery ratio, 12032 J residual energy, 1.54 s delay, and 3908 s network life. The suggested model is exceptionally energy-efficient because it achieved the highest delivery ratio while consuming the least amount of energy. The proposed approach is implemented on the NS2 platform.

Keywords: UWSNs; underwater wireless sensor networks; Manhattan based k means; salp swarm; remora optimisation; AUV; autonomous underwater vehicles.

DOI: 10.1504/IJSSE.2026.152424

International Journal of System of Systems Engineering, 2026 Vol.16 No.1, pp.82 - 97

Received: 07 Aug 2023
Accepted: 29 Nov 2023
Published online: 19 Mar 2026 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article