无线传感器网络多目标跟踪中协同任务分配

采用动态联盟机制进行多目标跟踪协同任务分配,并对自组织动态联盟进行研究,重点探讨盟员选择机制;分析能量消耗情况,给出改进的能耗模型;介绍三点定位法原理,分析其定位精度,提出基于面积和法以限制节点选择,建立精度模型。将能耗模型与精度模型结合,构造出综合性能指标函数,指导盟员的选择,并运用遗传算法实现此选择。仿真试验结果表明:综合性能指标函数使能耗和精度2个指标都更趋优化,证明了运用遗传算法进行盟员选择的有效性。

Cooperative task allocation for multi-target tracking in wireless sensor networks

Dynamic clusters mechanism was adopted to carry out cooperative task allocation for multi-target tracking,the self-organization process of dynamic clusters was discoursed,and cluster members selection mechanism was described.The situation of energy consumption was analyzed,and the improved energy consumption model was given;then the principle of three-point location was introduced,the location accuracy,the area-sum method to restrict the selection of nodes was proposed,and location accuracy model was constructed.Combining the energy consumption model and the location accuracy model,the comprehensive performance index function was created to guide the selection of cluster members,and genetic algorithm was used to implement the selection of cluster members.The simulation results show that the comprehensive performance index function makes both the energy consumption and location accuracy more optimal,and the results indicate the validity of using genetic algorithm to implement the selection of cluster members.