PANLS: Performance Analysis of Node Localization Scheme in WSNs

Node localization (NL) in wireless sensor networks (WSN) has numerous applications, such as maritime rescue, agriculture, and hazardous environments, that heavily rely on the node position. In WSN, node localization is crucial since GPS-enabled sensors are not economical or energy-efficient. Therefore, GPS-enabled sensors are not appropriate for many WSN applications. The exact positioning of sensor nodes has a considerable impact on WSN performance. NL is the process of locating a target node (an unknown node). Gaussian noise and RSSI are practical methods for locating a target node's position. The seagull optimization algorithm and its improved versions are used in this research to improve the localization accuracy of nodes. To enhance the accuracy of NL and improve the randomness of the seagull optimization algorithm a chaotic map is employed in this work to enhance the seagull optimization algorithm (SOA). The performance evaluation of C-SOA is far better than the SOA.