WSN中的分布式安全定位跟踪技术研究

Target Location and Tracking is a hot point on the research of Wireless Sensor Network, which has an extremely wide prospect of application. This project intends to provide Distributed Safety Location Tracking Technology which is based on WSN, trying to avoid the resource limitation of WSN node( such as computation、storage、communication and energy) , the existence of malicious node in deployment environment and the attribute of a single node, which could acquire a part of information of network and object only. According to these drawbacks, this technology firstly intends to refer to Dynamic Group Strategy base on Intelligent Cluster in accordance of attribute, and establish The Prediction Of Wake Model in Probability Space according to adjacency probability growth trend, On this basis to provides a security regime which could anti conspiracy attack during Dynamic Group tracking, so that we could realize the state information safe evaluation of moving target in local space, reduce energy wastage at an utmost degree, and prolong the network's life-span. In addition,the research founds Distributed Location Algorithm which is based on the time sequential, in order that while the research of distributed is solving state information of target partly, the data center could work out the track data which approaches to the real time of overall situation at the same time, which promotes the precision of positioning and tracking and solves the malicious-attacks problem of sensor node through the track process.Besides, this project will create a kind of WSN experimental prototype system which could be used in realization of algorithm performance of validating track-technology. .It hopes to possess the attributes of high positioning and tracking precision, low energy consumption and resistance of attacks.

目标定位跟踪是无线传感器网络的一个研究热点，有着非常广泛的应用前景。针对WSN节点的计算、存储、通信和能量等资源相对有限、部署环境中存在恶意节点、单个节点只能获取网络和目标的局部信息等特性，本项目拟提出基于WSN的分布式安全定位跟踪技术。该技术拟首先提出基于智能簇的动态群生成策略和建立概率空间内邻接趋向概率增长的预测唤醒模型；然后在此基础上提出一种动态群跟踪目标时抗合谋攻击的安全机制，使运动目标在局部空间的状态信息获得安全评估，并最大限度的减少能量损耗，延长网络寿命；再次研究建立一种基于时间贯序的分布式定位跟踪算法，在簇间分布式处理局部目标状态信息的同时数据中心计算出全局实时的目标轨迹数据，从而能够提高定位跟踪精度，解决定位跟踪过程中传感器节点的恶意攻击问题；最后研究设计一种WSN实验原型系统用于实际验证跟踪技术的算法性能。.预期该技术具有定位跟踪精度高、能耗低、抗攻击强等特性。

本课题主要的研究内容是在无线传感器网络（Wireless Sensor Networks，WSNs）中的目标定位跟踪问题。课题主要针对WSNs节点的计算、存储、通信和能量等资源相对有限、部署环境中存在恶意节点、单个节点只能获取网络和目标的局部信息等特性，提出基于WSNs的分布式安全定位跟踪技术。课题研究的关键问题包括：1）多目标跟踪节点任务分配问题；2）动态群约简粒子群并行算法设计问题；3）目标状态评估和预测机制；4）基于数据一致性的攻击检测机制和目标跟踪丢失后的及时恢复问题。该技术具有定位跟踪精度高、能耗低、抗攻击强等特性。本课题研究成果包括完成分布式WSNs节点轨迹跟踪嵌入式原型系统一套；出版学术专著1部，在国内外专业核心刊物或国际会议上发表学术论文18篇，其中CCF A类4篇，国际期刊论文6篇（其中5篇被SCI、EI检索），国内期刊论文9篇，国际会议论文3篇，获得授权技术专利6项。此外，在课题研究期间，课题组与多所国内外高校和研究机构开展广泛的学术合作与交流活动，有效地促进了课题的研究工作。在人才培养方面，先后培养毕业博士生1名，现留在课题组进行博士后工作，并且申请到相关课题的青年创新基金，毕业硕士研究生8名以上。课题资助在读博士研究生1名，在读硕士研究生8名以上。