Efficient Data Gathering and Routing Scheme Using Multiple Mobile Sink in Wireless Sensor Networks

WSN is often a technology used within an IoT system that assists in monitoring, tracking, and sensing different environmental activities when WSN is integrated into the IoT. They faced a major challenge due to excessive energy ingesting in their sensor nodes and network lifetime. Therefore, the fundamental issues in WSN are high energy consumption in nodes, packet delivery, routing distance, and packet delay. An energy-effective routing scheme that encompasses the system’s generation and recovers its performance and connectivity. Primarily, the sensing region is segregated into different regions depending on the organized sinks and deployed sensor nodes using random deployment. To locate the ideal location for the sinks and accumulate the information from sensor nodes, a sojourn location determination algorithm is constructed finally, using multi-objective evolutionary algorithms, sojourn location determination algorithms are used to analyze the optimized mobile sink paths. While the proposed work’s performance was assessed in terms of energy consumption, throughput, packet delivered ratio, packet loss, average routing length, and accomplishment time of the sinks Algorithms for determining sojourn location.