Tour Path Planning for Mobile Data Collectors in IoTusing Modified Archerfish Hunting Optimization (MAHO) Algorithm
Mario Infant Raj, Dr. K. Kamali Dr. K. Kamali, Dr. R. Manikandan Dr. R. Manikandan · International Journal of Advances in Engineering and Management · 2025
In large-scale Internet of Things (IoT) based sensor networks, it is crucial and vital to create an effective path planning strategy for Mobile Data Collectors (MDCs). This paper proposes a tour path planning for MDCs in IoT-WSN using Modified Archerfish Hunting Optimization (MAHO) algorithm. The main objective of this work is to determine the MDC tour paths based on path stability and energy efficiency. The TPP-MAHO algorithm is simulated in NS2. Simulation results have shown that the proposed TPP-MAHO algorithm attains maximum packet delivery ratio and energy efficiency with minimized delay and packet drops.