摘要
节点调度是分布式传感网降低节点能耗、延长网络寿命的重要手段。针对基于传感网的目标跟踪应用,提出目标运动和节点感知模型,并在此基础上提出一种基于预测的移动目标跟踪节点协同调度算法。算法利用粒子滤波构造节点感知功效函数,利用一种均衡节点剩余能量的方法构造感知能效函数,选举出参与目标跟踪过程的感知组成员。仿真结果表明,该算法具有较高的目标跟踪和定位精度,且可有效平衡节点之间的能耗分布。
In distributed sensor networks,node scheduling is an important means to reduce node energy consumption and prolong network lifetime. For target tracking application based on sensor networks,we propose the target motion model and nodes sensing model,and on that basis we propose a forecast-based nodes collaborative scheduling algorithm for moving target tracking. The algorithm constructs nodes sensing efficacy function by particle filtering,and constructs sensing energy-efficiency function by a method balancing the residual energy of nodes,then elects the members of the sensing group participating in the process of target tracking. Simulation results show that the proposed algorithm has high accuracy in object tracking and localisation,and can effectively balance energy consumption distribution among nodes.
出处
《计算机应用与软件》
CSCD
2015年第12期80-82,169,共4页
Computer Applications and Software
基金
国家科技重大专项(2011ZX03005-001)
深圳市战略性新兴产业发展专项资金项目(JCYJ20120831173131973)
关键词
传感网
节点调度
目标跟踪
预测
Sensor networks
Node scheduling
Target tracking
Forecast
