改进的无线传感器网络坏点检测算法研究

发布时间：2018-06-01 10:29

本文选题：无线传感器网络 + 坏点检测　；参考：《辽宁工程技术大学》2015年硕士论文

【摘要】：无线传感器网络作为一门结合微型传感、处理器以及无线通信等多种技术的综合性学科。它的应用范围非常广泛,领域涉及军用和民用,主要包括军事目标跟踪、交通管理、环境监测、野外火灾监测等。特别在一些特殊环境实时监测系统中,它更是发挥出了不可替代的作用。无线网络中的每一个相对独立的传感节点,都是整个系统必不可少的组成单元,它们的安全运行最终决定了整个检测系统的安全性能。在无线传感器网络的运行过程中,网络中的节点可能面临来自多方面的损坏——人为攻击、各种恶劣天气因素(酸雨、泥石流等),以及节点自身能量的限制等,这些因素会制约节点正常通讯,使网络出现故障。针对这些无法预知的故障,只有进行及时的检测、管理,并加以修复,才能确保网络能够正常的运行。传感节点的故障管理手段之一就是损坏节点的检测,即通过一定的方法将网络中已经损坏的传感节点识别并剔除出网络,从而保证网络的安全运行。现有的坏点检测的算法没有充分考虑节点的能量参数对算法的影响,使得部分节点被错误的剔除,一定程度上缩短了网络的生存周期。本文在研究现有的针对坏点检测算法的基础上,进一步考虑到节点自身的能量限制以及网络运行的安全性问题,提出了一种以剩余能量信息为核心的坏点检测算法。该算法充分考虑了剩余能量对节点的制约,增加节点的能量信息作为判断节点是否损坏的条件之一,采用捎带传输机制将节点的剩余能量信息传送到基站；采用多次报警确认机制减少对节点的错误剔除。实验仿真的数据证明,该算法大大提高了坏点的正确检测率,使网络的安全性和稳定性得到很大改善。
[Abstract]:Wireless sensor network (WSN) is a comprehensive subject which combines micro sensor, processor and wireless communication. It is widely used in military and civilian fields, including military target tracking, traffic management, environmental monitoring, field fire monitoring and so on. Especially in some special environment real-time monitoring systems, it plays an irreplaceable role. Each relatively independent sensor node in wireless network is an essential component unit of the whole system. Their safe operation ultimately determines the security performance of the whole detection system. In the operation of wireless sensor networks, nodes in the network may face damage from various aspects-human attack, various weather factors (acid rain, debris flow, etc.), as well as the energy constraints of nodes themselves, and so on. These factors will restrict the normal communication between nodes and make the network fail. Only through timely detection, management and repair can the network run normally. One of the fault management methods of sensor nodes is the detection of damaged nodes, that is, the sensor nodes that have been damaged in the network are identified and removed from the network by certain methods, so as to ensure the safe operation of the network. The existing bad point detection algorithms do not fully consider the impact of node energy parameters on the algorithm, so that some nodes are error-eliminated, and the lifetime of the network is shortened to a certain extent. On the basis of studying the existing algorithms for the detection of bad points and considering the energy limitation of nodes themselves and the security of network operation, a new algorithm for the detection of bad points with residual energy information as the core is proposed in this paper. The algorithm takes into account the constraint of residual energy to the node and increases the energy information of the node as one of the conditions to judge whether the node is damaged or not. The residual energy information of the node is transmitted to the base station by the piggyback transmission mechanism. The mechanism of multiple alarm and confirmation is used to reduce the error elimination of nodes. The experimental results show that the algorithm greatly improves the detection rate of bad points and improves the security and stability of the network.
【学位授予单位】：辽宁工程技术大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP212.9;TN929.5

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