Efficient Path Plannning for Mobile Sink using Salp Swarm Technique in IoT-Het Networks

For this reason, mobile sinks (MS) have already seen extensive application due to their ability to provide network-wide energy consumption parity and offer implicit load balancing. These nodes form what is known as a cluster topology, and the process of constructing one is known as clustering. An effective route finding system is provided in this study that does more than just solve the aforementioned problem; it also pinpoints where the MS must make pit stops for the transmission of data to be completely trustworthy. Specifically, the Salp Swarm Optimal solution for IoT networks is used, whose primary goal is to reduce the overall grouping time required by the suggested system. The target sites that make up the MS's route are decided using the circumferential visit approach. The results of the performance study demonstrate that the suggested strategy extends the life of the network by decreasing the required number of cluster updates and the time it takes to complete each update.