A novel evolution localization mechanism in WSN

作者：Zhang Yaming^*; Shi Haoshan; Cheng Wei; Liu Yan

来源：Journal of Northwestern Polytechnical University, 2013, 31(4): 633-638.

• Adaptive weighting
• Anchor nodes
• Convergence speed
• Improved PSO
• Local search
• Localization
• Localization algorithm
• Location accuracy

In order to obtain the geographic positions of random nodes in wireless sensor network (WSN) more accurately, a new localization algorithm is proposed based on improved Particle Swarm Optimization (PSO) and the usage mode of the algorithm is improved. The new algorithm proposes the idea of competition evolution and adaptive weighting; this can enhance the global and local search ability and meanwhile can improve convergence speed. And the new usage mode makes full use of anchor node information. Simulation results and their analysis show preliminarily that the new algorithm is less costly, gives higher location accuracy, and shows robustness to measurement error.

• 出版日期2013
• 单位西北工业大学; 西安电子科技大学