WSNs中基于预算机制动态簇的目标追踪算法  

A Prediction-based Dynamic Cluster Target-tracking Algorithm in Wireless Sensor Networks

作　　者：李芳芳[1] 韩冰[2] 单姣姣[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004 [2]东软集团,沈阳110069

出　　处：《计算机与数字工程》2012年第11期55-59,共5页Computer & Digital Engineering

摘　　要：无线传感器网络已成为热门的研究领域,许多实际应用中,跟踪运动目标是一项基本功能。该文提出了一种基于预算机制的动态簇无线传感器网络目标追踪算法(PDC)。PDC算法采用了相对比较节能的动态簇的网络模型和分布式计算原理,动态簇随着目标的移动轨迹,提前唤醒目标周围感测半径内的节点准备监测目标。一方面避免了盲目地唤醒节点所造成的不必要的能量消耗,另一方面减少了响应延迟。动态簇在感测目标的周围形成了一个以簇的方式进行动态管理的节点群,通过质心计算的方式进行目标定位,提高了定位的准确性,同时降低了目标的丢失率。Sensor network is a hot topic in research field,and in many practical applications of wireless sensor networks,the tracking of moving targets is a basic function.In this paper,a new target-tracking algorithm,prediction-based dynamic cluster（PDC）,is proposed.It improves the disadvantages of inaccurate in target tracking algorithm for prediction.PDC algorithm uses a relatively energy-efficient dynamic cluster network model and principles of distributed computing.Dynamic clusters with the target trajectory early wakes up the sensing target within the radius of the target node ready to monitor.It avoids the node to wake up blindly and consumes the unnecessary energy,on the other hand,reduces the response delay.Dynamic clusters around the goal form a node group with cluster approach to dynamic management.Dynamic clusters calculate targeting with the approach of mass center,not only to improve the accuracy of the positioning but also to reduce the target loss rate.

关 键 词：无线传感器网络 目标追踪 动态簇 预测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]