基于简单事件驱动的无线传感器网络定位算法的研究

发布时间：2018-05-14 02:16

本文选题：无线传感器网络 + 节点定位　；参考：《哈尔滨工程大学》2014年硕士论文

【摘要】：作为一门新兴的技术,无线传感器网络(WSN, Wireless Sensor Network)的应用前景无限广阔。只需要将大量体型微小的传感器节点部署到目标区域,就可以使用这些节点采集区域内的各种信息,例如最常见的温度、湿度等,然后对信息进行筛选与整理,最终通过整个网络将信息汇总到基站,供终端用户使用。目前无线传感器网络已经得到了广泛的使用,比较常见的有环境监测与预报、交通运输、防火警报、基础设施保护、农业生产、医疗护理、工业传感以及军事监测等。随着科学的发展与技术的进步,无线传感器网络将为社会的发展作出更多的贡献。由于WSN主要是用来感知监测网络部署区域的各种环境特性,所以在很多情况下,传感器节点采集的信息都要与节点自身的位置信息相关联,而没有节点位置的感知信息往往意义不大。因此节点的定位技术对WSN的发展与应用影响巨大。基于无控事件的定位算法(LUE,Sensor Node Localization with Uncontorlled Events)通过借助外部事件辅助节点定位,来有效地减少定位过程中锚节点的数量。但无论是直线扫描事件还是环形扩散事件,在同一锚节点分布条件下总是存在事件冗余的情况,这使得定位的效率较低。为了解决事件冗余的问题,本文将移动锚节点的思想引入到基于事件的定位算法中。本文第三章在基于直线扫描事件定位算法(LLSE, Sensor Node Localization with Linear Scan Events)的基础上提出了基于直线扫描事件与移动锚节点的定位算法(LLSEMA, Sensor Node Localiztion with Linear Scan Events and Mobile Anchors)。LLSEMA算法利用移动锚节点和最高效事件选取策略来减少冗余事件,仿真实验的结果表明,和LLSE算法相比,LLSEMA算法的定位效率与定位精度都有较大的提高。本文第四章在基于环形扩散事件定位算法(LADE, Sensor Node Localization with Annular Diffusion Events)的基础上提出了基于环形扩散事件与移动锚节点的定位算法(LADEMA, Sensor Node Localization with Annular Diffusion Events and Mobile Anchors)。LADEMA算法利用移动锚节点和锚节点调整策略来减少冗余事件,仿真实验的结果表明,和LADE算法相比,LADEMA算法的定位效率与定位精度都有较大的提高。
[Abstract]:As a new technology, Wireless Sensor Network (WSN) and Wireless Sensor Network) (Wireless Sensor Network) have a wide application prospect. Just by deploying a large number of tiny sensor nodes to the target area, you can use these nodes to collect all kinds of information in the area, such as the most common temperature, humidity, and so on, and then filter and organize the information. Finally, the information is aggregated to the base station through the whole network, for the end user to use. At present, wireless sensor networks have been widely used, such as environmental monitoring and forecasting, transportation, fire alarm, infrastructure protection, agricultural production, medical care, industrial sensing and military monitoring. With the development of science and technology, wireless sensor networks will make more contributions to the development of society. Because WSN is mainly used to perceive and monitor the various environmental characteristics of the network deployment area, in many cases, the information collected by sensor nodes must be associated with the location information of the nodes themselves. But the perceptual information without node location is often of little significance. Therefore, the node location technology has a great impact on the development and application of WSN. The location algorithm based on uncontrolled events, called UEN Sensor Node Localization with Uncontorlled Events), can effectively reduce the number of anchor nodes in the localization process by means of external event aided node location. However, whether the linear scan event or the circular diffusion event, there is always event redundancy under the same anchor node distribution condition, which makes the localization efficiency low. In order to solve the problem of event redundancy, this paper introduces the idea of moving anchor node into event based localization algorithm. In the third chapter, on the basis of linear scanning event location algorithm (LLSEE, Sensor Node Localization with Linear Scan Events), a location algorithm based on linear scan event and mobile anchor node is proposed. Sensor Node Localiztion with Linear Scan Events and Mobile Anchors).LLSEMA algorithm uses mobile anchor algorithm to locate LLSEMA-LLSEMA-LLSEMA-LLSEMA-LLSEMA-based algorithm. Nodes and most efficient event selection strategies to reduce redundant events, The simulation results show that the localization efficiency and accuracy of LLSEMA algorithm are much higher than that of LLSE algorithm. In the fourth chapter, based on the algorithm of circular diffusion event location and Sensor Node Localization with Annular Diffusion Events), a localization algorithm based on ring diffusion event and mobile anchor node is proposed. Sensor Node Localization with Annular Diffusion Events and Mobile Anchors).LADEMA algorithm uses mobile anchor. Nodes and anchor nodes adjust their policies to reduce redundant events, The simulation results show that compared with the LADE algorithm, the localization efficiency and accuracy of the algorithm are greatly improved.
【学位授予单位】：哈尔滨工程大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP212.9;TN929.5

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