Title: Energy-efficient coverage in wireless sensor networks based on stacked contractive auto encoder with Manta Ray foraging optimisation algorithm

Authors: S. Muthukumarasamy; B.R. Tapas Bapu

Addresses: Department of Computer Science and Engineering, S.A. Engineering College, Chennai, Tamilnadu, India ' Faculty of Electronics and Communication Engineering, S.A. Engineering College, Chennai, India

Abstract: In this manuscript, energy-efficient coverage in WSN based on stacked contractive auto encoder with Manta Ray foraging optimisation algorithm is proposed. Initially, IF-RFKM clustering approach is proposed for dividing the ROI as several clusters and defines the cluster head. Then SCAE determines the sensing radius for best coverage and move sensor nodes accordingly. Finally, MRFO algorithm is proposed for increasing the network lifespan by decreasing energy consumption in the sensor nodes. The proposed EECO-SCAE-MRFO-WSN method is implemented in MATLAB, its effectiveness is validated under performance metrics, such as coverage rate, covering percentage, delay, throughput, computation time, network lifetime, residual energy and energy consumption. The proposed EECO-SCAE-MRFO-WSN method has attained 36.8%, 34.75%, 21.86% higher coverage rate, 34.6%, 30.9%, 26.87% lower delay, 7.96%, 12.65%, 9.65% higher network lifetime, and 19.87%, 16.8%, 10.9% lower energy consumption than the existing methods, like energy-efficient coverage enhancement for 3-D WSN depending on vampire bat optimiser (EECO-VBO-WSN).

Keywords: Manta Ray foraging optimisation; region of interest; stacked contractive auto encoder; SCAE; wireless sensor network.

DOI: 10.1504/IJMC.2025.142969

International Journal of Mobile Communications, 2025 Vol.25 No.1, pp.110 - 128

Received: 23 Feb 2023
Accepted: 07 Oct 2023
Published online: 02 Dec 2024 *

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