Performance Analysis of DFT and COA Algorithms for Wireless Sensor Network Node Localization

In a wireless sensor network, nodes localization seeks to use known (main or anchor) nodes to help detect the locations of the unknown (target) nodes. The localization accuracy can have a big impact on a WSN's performance. This paper suggests a strategy for node localization based two recently developed bioinspired algorithms, the Crayfish Optimization Algorithm (COA) and the Flow Direction Algorithm (FDA). In several WSN deployment scenarios, the suggested techniques are contrasted with each other. On the hand of localization error and time of computation, the testing findings demonstrate that the suggested FDA localization scheme outperforms the alternative localization technique.