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Research Paper | Electronics & Communication Engineering | India | Volume 12 Issue 3, March 2023
Maximizing Coverage and Connectivity in WSNS with Moahoa-Sa: A Selective Activation Approach with Minimum Interference
Abstract: Wireless Sensor Network (WSN) consists of small autonomous devices, called sensor nodes that are capable of sensing, computing, and wireless communication. In order to monitor targets or detect events, sensors are deployed at specific Point of Interest (PoI), and then the data was transmitted to the Base Station (BS) or sink. Maximizing coverage and connectivity with minimal sensing interference is a critical issue in WSN. To address these concerns, we propose a Multi-Objective Adaptive Horse Herd Optimization Algorithm-based Selective Activation (MOAHOA-SA) scheme to select minimum active nodes at the PoI in WSN. The MOAHOA-SA approach solves the multi-objective problem using the adaptability factor. An improved fitness function is mathematically formulated with six objectives such as coverage maximization, ensuring connectivity, coverage overlap minimization, high residual energy node selection, active sensor node minimization, and interference minimization. Hence, the MOAHOA-SA scheme maximize the target coverage and connectivity with minimum sensor interference while selecting minimum active sensors to be placed at the PoI. Under random and grid deployment scenarios, the performance results of the MOAHOA-SA approach achieves better performance than other optimization algorithms.
Keywords: Coverage, Connectivity, Interference, Optimization, Selective Activation
Edition: Volume 12 Issue 3, March 2023,
Pages: 1579 - 1588