摘要
以无线传感器网络对空中飞行目标跟踪为背景,针对无线传感器网络协同技术中的任务分配问题,以降低传感器节点之间的通信能量消耗为目的,提出了一种基于弹性神经网络的任务分配算法。首先对多动态联盟多目标跟踪问题进行建模,然后依据最小能量准则,采用一种非全连接的环形结构的弹性神经网络模型,解决了多目标跟踪时的任务优化分配问题以及多个动态联盟对传感器资源竞争冲突时系统能耗增加的问题。仿真结果表明,该算法与传统的方法相比,大大降低了跟踪系统的能量消耗。
Aiming at the task allocation of collaborative technique in wireless sensor network, a method based on elastic neural network is proposed to reduce energy consumption under the background of tracking aerial flying targets in this paper. First a model of multi-coalition tracking multi-target is designed. Then according to the minimum energy criterion, disjoint fully connected subgraphs of neurons are constructed to solve the problem of optimized task allocation in tracking multi-target and the increment of system energy consumption when dynamic coalitions compete and conflict for the resource of sensor nodes. Compared with conventional method, simulation results show that this method can reduce the energy consumption of the tracking system greatly, demonstrating the effectiveness of elastic neural network in handling with optimized task allocation problem of multi-sensor tracking multitarget.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2007年第4期960-965,971,共7页
Journal of Astronautics
基金
2007航天科技创新基金(CASC0202-3)
黑龙江省科技攻关计划项目(GC05A126)
第四十批中国博士后科学基金(20060400822)
关键词
无线传感器网络
多目标跟踪
任务分配
神经网络
动态联盟
Wireless sensor network
Multi-sensor multi-target tracking
Task allocation
Neural network
Dynamic coalition