项目名称: 存在恶意攻击的无线传感器网络目标定位与跟踪
项目编号: No.61261016
项目类型: 地区科学基金项目
立项/批准年度: 2013
项目学科: 无线电电子学、电信技术
项目作者: 谭建军
作者单位: 湖北民族学院
项目金额: 45万元
中文摘要: 在有恶意攻击存在的无线传感器网络中,现有的入侵检测及恶意节点识别方法功能单一、不可抵御高信誉节点的恶意诽谤,从而使定位跟踪目标时传感器网络的能量消耗进一步扩大,同时产生传感失协、模型失用、定位失误等问题。本项目提出一种恶意节点识别与目标定位跟踪相结合的方案,在不影响定位精度的前提下,研究降低定位和跟踪目标状态估计的计算量、网络节点的通信量以及减少参与目标定位跟踪的节点数的措施。采用理论分析、数值仿真与实验验证相结合的方法,深入研究已经被入侵了的无线传感器网络应用于目标定位跟踪的理论与技术,以及利用有效的识别方法将恶意节点从网络中隔离出来,使其不参与目标定位跟踪。通过构建合理的网络结构,在完成定位跟踪的同时,尽量降低能耗以延长整个网络的生存时间。本项目的开展将为存在恶意入侵的无线传感器网络目标定位与跟踪的改进及完善提供全新的思路,并将使无线传感器网络定位与跟踪的研究获得新进展。
中文关键词: 无线传感器网络;恶意节点;目标定位;目标跟踪;
英文摘要: In a malicious attacks existing wireless sensor network, the existing intrusion detection and malicious nodes identification methods are simple and do not resist high reputation nodes of the malicious slander, which makes locating and tracking goal of sensor networks energy consumption further expand, and produce sensing lost association, invalid models, positioning error. The project presents a malicious nodes identification and target tracking combination of solution, which will not influence the positioning accuracy,under the premise of lowering localization and tracking target state estimate the amount of calculation, network nodes and reduce traffic in target tracking number of nodes in the measures. The theoretical analysis, numerical simulation and experimental results verify the method of combining the in-depth research has been invaded for wireless sensor networks used in target tracking of the theory and technology, and use of effective identification method will malicious isolated from the network nodes, make its are not participate in target tracking. By constructing reasonable network structure, in complete locating and tracking at the same time, try to reduce the energy consumption in order to prolong the whole network of survival time. This project will carry out there for malicious invasion of t
英文关键词: Wireless sensor networks;Malicious node;Target localization;Target tracking;