摘要
针对移动Sink节点目标跟踪定位时间长,能耗大等问题,提出基于概率阈值通信感知的WSNs目标跟踪算法。采用离散数据传输方式,并定义目标信息传输概率阈值来确定是否将节点当前位置信息由传感器节点传输到Sink节点。若当前位置信息不传输到Sink节点中,则使用最近一次通报的目标位置信息进行目标定位。然后开启目标周围相关传感器节点来有效降低算法数据传输量,并保持足够的定位精度。仿真结果显示:该方法比预测跟踪算法降低数据传输量87%左右,比动态目标跟踪算法降低跟踪时间33.7%左右。
Aiming at problem of long time of target tracking and localization and high energy consumption of mobile sink node, WSNs target tracking algorithm based on probability threshold communication perception is proposed. Adopt discrete data transmission mode, and define probability threshold of target information transmission to determine whether transmit current location information of node from sensor nodes to sink node or not. If current position information is not transmitted to the Sink node, the recent notification of target positioning information is used. Then the related wireless sensor nodes around the target are opened, through this way the amount of data transmission is reduced, and sufficient positioning precision is maintained. The simulation results show that, the method can reduce data transmission quantity about 87 % , compared with the forecast tracking algorithm, and reduce the tracking time about 33.7 % , compared with the dynamic target tracking algorithm.
出处
《传感器与微系统》
CSCD
2015年第4期111-114,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60970076)
关键词
概率阈值
通信感知
无线传感器网络
目标跟踪
能耗节省
probability threshold
communication perception
wireless sensor networks （WSNs）
target tracking
energy saving
