Nodes Deployment Techniques for Target Coverage and Connectivity Problems in Underwater Wireless Sensor Networks based on JAYA algorithm
Kadoke Marco Kadoke, Sonia Goyal, Ranjit Kaur · 2024
Effective maritime environment monitoring with underwater wireless sensor networks (UWSNs) depends on having optimal network coverage and connectivity through suitable node deployment within a designated detecting region. Many of the node deployment systems that are currently recommended for UWSNs work under the assumption the sensor nodes are stationary and that their placement remains unchanged after deployment. The placed static sensor node moves from its initial positions to new ones due to ocean currents and interactions with underwater current, leaving most of the targets unexplored and disrupting network connectivity. In order to find a solution, we suggest using the JAYA algorithm to deploy nodes in UWSNs at the optimal location for autonomous underwater vehicles (AUVs). Coverage quality, connected cost, and network lifetime are the three factors that make up the innovative fitness function of the proposed method, which is based on the JAYA metaheuristic algorithm and uses a single autonomous underwater vehicle. Additionally, a novel fitness function is developed for both the quantity and position of the sensors by applying an effective detection probability and Euclidean distance in the suggested method. We explain in detail the performance estimation of the proposed algorithm and compare it with the current algorithms concerning connection cost, quality of coverage, convergence rate, and network lifetime. As seen by the simulation results, the suggested methodology improves the network’s underwater coverage.