基于粒子群算法的传感网络节点动态目标跟踪  

Dynamic Target Tracking of Sensor Network Nodes Based on Particle Swarm Algorithm

作　　者：来羽[1] 

机构地区：[1]中州大学信息工程学院,河南郑州450044

出　　处：《计算机仿真》2016年第3期239-242,共4页Computer Simulation

摘　　要：在对传感网络节点动态目标跟踪时,传感网络节点目标具有复杂性和多样性,采用传统的目标跟踪方法时由于网络节点随机性大,对传感网络节点动态目标跟踪产生约束条件,使得收敛性和稳定性受到干扰,导致网络节点维度复杂,节点目标位置不明确,稳定性差。提出改进粒子群算法的传感网络节点进行动态目标跟踪方法,通过粒子群多目标算法对粒子群的收敛性和稳定性进行综合计算,使传感网络节点维度简化,并设定粒子群跟踪目标的最优解来确定节点目标的位置。随时调整目标跟踪的速度确保其稳定性,通过建立节点目标跟踪均匀度量法,使传感网络节点动态目标跟踪的整体效能有显著的提高。仿真结果证明,改进方法克了原有跟踪系统的缺点,提高了传感网络节点动态目标跟踪的性能。A dynamic target tracking method of sensor nodes is presented based on improved particle swarm algo- rithm. Through particle swarm multiple objective algorithm, the convergence and stability of particle swarm are com- prehensively calculated, the sensor network node dimensions are simplified, and the optimal solution of particle swarm target tracking is set to determine the location of the target node. The target tracking speed is constantly adjus- ted to ensure the stability of target tracking. By establishing node uniform measurement method for target tracking, the whole dynamic target tracking performance of the sensor network node is improved significantly. Simulation varifies that the proposed method can improve the dynamic target tracking performance of the sensor network node.

关 键 词：粒子群算法 传感网络节点 目标跟踪 

分 类 号：TF22[冶金工程]