Range-Free Anchor-Based Localization in WSN Using Optimized Support Vector Machine Derived by Teamwork Optimization Algorithm

In recent days, node localization became complex in Wireless Sensor Networks (WSNs). Localization is differentiated into two types, namely range-free as well as range-based models. Localization related to topological information and nodes is referred to as range-free approaches. In range-based approaches, distances among the nodes are validated. The scope of this paper is on range-free anchor-based localization. It is performed using the Teamwork Optimization Algorithm (TOA) based on anchor nodes. Through the range-free concept, the nodes are assigned randomly. The unknown node locations are formulated using the Optimized Support Vector Machine (SVM) with TOA. This SVM-based TOA technique is utilized to compute the unknown node coordination to guarantee localization accuracy via the multi-objective problem. The validation outcome displayed that the recommended approach attained an enhanced performance rate in Distance Vector Hop (DV-Hop) in terms of computational complexity, accuracy, and communication cost.