A Hybrid Swarm Evolution Optimization for Solving Sensornet Node Localization

A new approach to node localization is proposed by using the combined localization model in Wireless sensor nets (WSN) with a hybridized swarm evolution algorithm (HSEA). Mathematically, based on the distances of the localizing model and Pareto, the fitness function is determined. To achieve better efficiency, the HSEA is implemented by combining the particle swarm optimizer (PSO) with the differential-evolution (DE) algorithms. Applied HSEA deals with the node location situation in WSN. The simulation compares the results of the proposed scheme with the others schemes to demonstrate that the suggested task using HSEA achieves better performance than the competitors.