应用于精准灌溉的无线传感网定位技术研究
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摘要
近几年来,随着无线传感网络的持续深入研究,利用无线传感网实施农田精准灌溉已被证明是可行的且拥有广阔前景。在传感器网络中,位置信息对传感器网络的监测活动至关重要,没有位置信息的监测消息往往是毫无意义的。
     专门针对精准灌溉设计的定位技术目前尚不多见,本文在对几种常见的无线传感网络定位算法进行了比较深入、系统的分析基础上,选用了测距无关的、仅靠网络连通信息就可实现定位的DV-Hop算法实现灌区定位。传统的DV-Hop算法采用随机方式分布节点,一定程度上造成定位误差大精度低。本文从提高节点能量的利用率出发,针对灌区特点,实行有计划地人工干预部分网络节点的排布。将整个灌区划分为若干基本灌溉区域,每个基本灌溉区域由一个灌溉执行机构实行灌溉,一个基本灌区就是一个簇,每个簇部署一个簇头节点和若干普通节点。经仿真实验证明改进后的灌区布局有效改善了DV-Hop算法定位效果。
     本文的另一项工作是对DV- Hop算法的第一阶段和第三阶段进行改进。研究表明,在DV- Hop定位算法中,相对于内部锚节点,当参与未知节点定位过程的是外部锚节点时,定位精度更高。因为外部节点的平均每跳距离更接近于实际每跳距离。改进算法在第一阶段仅选择边界锚节点进行消息广播,参与转播的节点通过收到的RSSI信号的强弱程度计算带小数位的跳数。在第三阶段,由于平均跳段距离只是估计值,存在一定的误差,甚至会造成计算出的节点坐标超出自身所在簇的覆盖范围,这会给以簇为单位的精准灌溉造成识别障碍,为减少误差,本文提出伸缩修正法,将界外的节点沿簇头方向往回拉到簇边界,修正超出簇覆盖范围的节点坐标。仿真结果表明改进算法具有较为理想的定位效果。
In recent years, wireless sensor networks are studied widely, and its application in precision farmland irrigation has been proved to be feasible and has bright application prospect. In the sensor network, information on the location of the sensors monitoring network activity is critical, so the information is useless which has no relation with the monitor’s location.
     The researches about the precise localization are rare. Several common wireless sensor network localization algorithms are compared in this paper. Based on the systematic analysis, the DV-HOP algorithm is proposed to solve irrigation area localization problem. Traditional DV-HOP algorithm used random distribution node, to a certain extent, caused low-precision positioning and error large. From increasing the node of the energy utilization rate, for the characteristics of irrigation area, this article will implement the planned human intervention part of network nodes of arrangement .The whole irrigation area is divided into a number of basic irrigation areas, each of the basic irrigation area irrigated by an executive body to implement irrigation, a basic irrigation area is a cluster, each cluster deployment of a cluster head node and a number of ordinary nodes. The simulation results show that improved Layout of the irrigation area to effectively improve the DV-Hop positioning algorithm results.
     This article’s another work is the DV-Hop algorithm’s the first phase and the third phase of improvements. Research shows that in the DV-Hop algorithm, compared to the internal anchor node, when the external anchor node involved in the process of positioning the unknown node, the positioning accuracy is higher. Because the external node's the average distance closer to the actual distance of each hop. In the first phase ,the improved algorithm only choose the border anchor node for news broadcast, the node which receive the news ,uses the RSSI signal adopted to calculate the number of hop with a few decimal . In the third stage, as the average hop distance is only an estimate, there are some errors, or even calculate the coordinates of the nodes in excess of its own cluster where the coverage of this cluster as a unit to cause the precise irrigation identification of obstacles, in order to Reduce errors, In this paper, telescopic Amendment Act to the law, will lay the nodes along the direction of cluster head pulled back cluster border,amended the node's coordinates which beyond the cluster coverage . The simulation results show that the improved algorithms have the better effectiveness of positioning.
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