Node localization in WSN using the slime mould algorithm

In the pursuit of optimizing environmental management within specific areas, Wireless Sensor Networks (WSNs) have become indispensable. Determining the exact location of each WSN sensor node is crucial for effective data routing across the network. This paper introduces the slime mould algorithm (SMA), an innovative meta-heuristic optimization technique, tailored to address the WSN node localization challenge. Notably, the literature review revealed no previous applications of SMA for this problem. Our simulation results indicate that the proposed algorithm excels in accurately localizing WSN nodes. We also evaluate several key performance metrics to underscore the algorithm's advantages over existing optimization techniques. Particularly, when considering factors like the number of anchor nodes, iteration count, and population size, our method consistently delivers superior localization accuracy compared to other established algorithms.