| 无线传感器网络中多传感器动态自适应调度算法 |
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| 引用本文： | 肖胜,邢昌风,石章松.无线传感器网络中多传感器动态自适应调度算法[J].火力与指挥控制,2012,37(1):151-154. |
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| 作者姓名： | 肖胜 邢昌风 石章松 |
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| 作者单位： | 海军工程大学电子工程学院,武汉,430033 |
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| 基金项目： | 湖北省自然科学基金，海军工程大学自然科学基金 |
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| 摘 要： | 无线传感器网络中,目标跟踪往往通过节点之间的协作完成。在无迹变换卡尔曼滤波基础上,提出一种多传感器动态自适应调度算法进行目标跟踪。该方法根据预测跟踪精度来确定采样间隔,然后基于特定的检测概率,为下一时刻选择一组传感器,形成一个临时工作组,并指定某一个传感器作为中心节点进行数据融合。仿真结果证明了该算法能有效提高跟踪精度和可靠性。
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| 关 键 词： | 无线传感器网络 目标跟踪 采样间隔 无迹变换卡尔曼滤波 |
A Dynamic Adaptive Multi-sensor Scheduling Algorithm in Wireless Sensor Network |
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| XIAO Sheng
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XING Chang-feng
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SHI Zhang-song.A Dynamic Adaptive Multi-sensor Scheduling Algorithm in Wireless Sensor Network[J].Fire Control & Command Control,2012,37(1):151-154. |
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| Authors: | XIAO Sheng XING Chang-feng SHI Zhang-song |
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| Institution: | (Electronic Engineering College,Naval University of Engineering,Wuhan 430033,China) |
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| Abstract: | In wireless sensor network,target tracking usually be accomplished by collaboration between the sensors.A dynamic adaptive multi-sensor scheduling algorithm which based on UKF algorithm is presented for target tracking in WSNs.According to the predicted tracking accuracy,the proposed scheme determines the sampling interval and selects a number of sensors to form a temporary tasking group for the next time step based on a specified detection probability.One of members in the tasking group is selected to be the leader node which acts as a local temporary fusion center.The simulation results show that the proposed algorithm can improve the tracking reliability and power efficient. |
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| Keywords: | wireless sensor network target tracking sampling unscented kalman filtering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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