无线传感器网络中基于移动智能体的目标追踪注意:本论文已在《控制理论与应用》 2006,23(4):601-605发表 摘要:就无线传感器网络中的目标追踪问题而言,减少传感器之间的冲突、提高追踪精度是两个重要问题.为此,采用移动智能体方法协同声音传感器追踪移动目标.当目标出现时,负责追踪的智能体产生,并随目标移动而移动.为减小在选举移动智能体的过程中出现的冲突,采用基于概率的选举策略,给出概率函数的设置方法.在目标关联过程中,时间窗口的大小对算法的追踪精度而言至关重要,经过分析,给出了设置时间窗口大小的基本原则.仿真结果表明设计恰当的随机函数和时间窗口可以有效地减小冲突、提高追踪的精度. Target tracking based on moving agent in wireless sensor network ZANG Chuan-zhi LIANG Wei YU Hai-bin Abstract: For target tracking in wireless sensor network, the reducing of the conflict between sensors and the improvement of the tracking accuracy are main concerns. A moving-agent method is developed to coordinate the acoustic sensors to track the moving target in this paper. When finding the moving target in the acoustic sensor network, a moving agent is generated to triangulate the target's position. While the target is moving, the agent is also moving to follow the target. An election strategy based on the probability is then used to select the moving agent and thus reduce the conflict between the sensors. Furthermore, the random function is designed for given random function distribution. Besides, it also indicates that the time window connected with the data association process is a very important parameter and the domain of the time window is analyzed. Finally, the simulation shows that choosing a right random function and a right value of the time window can reduce the conflict and improve the tracking accuracy. 基金项目:国家自然科学基金资助项目(60434030,60374072);辽宁省博士启动基金资助项目(20041004). 参考文献: [1]MICHAEL S.A closed-form location estimator for use with room environment microphone arrays[J].IEEE Trans on Speech and Audio Processing,1997,5(1):45-50
收稿日期:2005年3月11日 修稿日期:2005年9月12日 出版日期:2006年8月31日 1、浏览PDF格式全文需要使用软件--Abode Acrobat(由于软件较大并常见,我站不提供下载) 2、下载论文全文请点击鼠标右键“另存为”或使用断点续传软件下载(362KB) 本站收录的本文作者的其他论文: 1、基于多智能体理论实现无线传感器网络的目标监视与追踪的策略 4、Target Tracking based on the Dynamic Cluster Method in the Acoustic Sensor Network 5、The critical speeds and radii for converage in sensor networks 6、The Probabilistic Analysis of Distance Estimators in Wireless Sensor Network
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