基于信号检测方法的三维空间WSN覆盖问题研究

发布时间：2019-02-18 13:02

【摘要】：无线传感器网络的基本任务是对指定的事件和信息进行感知检测,因此监测性能与覆盖问题成为通用的无线传感器网络的设计应用中的热点研究问题。目前关于这方面的研究,研究有了大量的理论成果,但这些理论的结果仍存在以下几大缺点:(1)大多数利用的是布尔模型,并且模型的建立中忽视了环境噪声和信号衰减。(2)大多采用单点感知模型,忽略了多个传感器接收到的信号之间的空间相关性(3)大多数研究都是基于理想二维平面,而无线传感器网络的实际应用目前数量已经扩展到三维空间,这很明显与实际不符。本文针对无线传感器网络在信息感知和事件检测方面的实际应用特点和需求,考虑被测信号数据特征,环境因素和节点分布的影响,重点研究无线传感器节点的感知模型和网络的覆盖问题。考虑在噪声环境下,利用无线传感器节点接收数据之间空间相关性,建立三维空间下两点联合检测的感知单位模型。在此基础上,结合基于多面体密铺的空间覆盖模型构造算法,提出结合两种理论的更为高效的三维空间覆盖方法。在提出覆盖方法的基础上,再使用软件仿真进行结果分析,验证,并与传统方法进行效率对比。比起传统的空间检测覆盖问题,本文有如下几个创新点:1.总结了传统感知模型的不足,采用了考虑了环境噪声和信号衰减前提下的概率模型。2.考虑了节点与节点之间接收到信号的空间相关性。3.建立的是在三维空间下的单位感知模型。4.在得到单位感知模型之后,介绍了如何对其如何使用布点,以达到高效覆盖的算法。使用本文研究的检测方法与布点方案,可以在实际应用时节省传感器节点使用数量,达到高效使用传感器节点的效果,具有一定的实践指导价值。
[Abstract]:The basic task of wireless sensor networks is to detect specific events and information. Therefore, monitoring performance and coverage problems have become a hot issue in the design and application of wireless sensor networks. At present, there are a lot of theoretical results in this field, but the results of these theories still have the following shortcomings: (1) most of them are Boolean models. And the environmental noise and signal attenuation are ignored in the establishment of the model. (2) most of the research is based on the ideal two-dimensional plane, and the spatial correlation between the signals received by multiple sensors is ignored. However, the actual application of wireless sensor networks has been expanded to three dimensional space, which is obviously not in accordance with the actual situation. In view of the practical application characteristics and requirements of wireless sensor networks in information perception and event detection, this paper considers the effects of data characteristics, environmental factors and node distribution of measured signals. This paper focuses on the sensor node perception model and network coverage. Considering the spatial correlation between the data received by wireless sensor nodes in noisy environment, a sensing unit model for joint detection of two points in three dimensional space is established. On this basis, a more efficient three dimensional space coverage method based on two theories is proposed by combining the algorithm of constructing space coverage model based on polyhedron. On the basis of the coverage method, the results are analyzed and verified by software simulation, and the efficiency of the method is compared with that of the traditional method. Compared with the traditional spatial detection coverage problem, this paper has the following innovations: 1. The disadvantages of the traditional perception model are summarized, and the probabilistic model, which takes environmental noise and signal attenuation into account, is adopted. 2. The spatial correlation of received signals between nodes and nodes is considered. 3. 3. A unit perception model in three dimensional space is established. 4. After getting the unit awareness model, this paper introduces how to use points to achieve efficient coverage. By using the detection method and the layout scheme studied in this paper, the number of sensor nodes can be saved in practical application, and the effect of using sensor nodes efficiently can be achieved, which has certain practical guiding value.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP212.9

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