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通信工程-专业英语论文

通信工程-专业英语论文
通信工程-专业英语论文

《专业英语》课程论文

论文题目:Wireless sensor network node

Positioning algorithm

学院(系):信息工程学院

专业:电子科学与技术

班级:信研135 班

学生姓名:胡剑

学号:1049721303194

教师:徐文君

2014年 5月 16 日

Wireless sensor network node positioning

algorithm

Hu jian

School of Information Engineering,

Wuhan University of Technology, Wuhan, China

434474935@https://www.doczj.com/doc/773210335.html,

Abstract- Wireless sensor networks as a new type of data acquisition technology, combined with microelectronics, wireless communications and wireless networks, such as multi-discipline, have broad application prospects in the field of industrial control, military, medical assistance, and environmental monitoring. In most applications, the physical location of the guide to the sensor node is a basic requirement, however, due to the large number of sensor nodes, randomly distributed, and the software and hardware resources are limited, so study effective positioning algorithm to determine the location of each node has an important theoretical significance and practical value.

Access to large amounts of literature on the basis of the lessons do an overview of the wireless sensor network-based positioning technology, wireless sensor networks, highlights several typical distributed positioning algorithm principle and characteristics, including Amorphous , APIT, Centroid, DV-Hop, RSSI, etc., its Matlab simulation environment simulation analysis, and compare the positioning accuracy of the various algorithms and error.

Keywords: wireless sensor networks, localization algorithm, Matlab, simulation analysis

I. INTRODUCTION

Positioning of wireless sensor networks is the wireless, self-organizing network to provide location information of nodes in the network in some way, self-organizing network localization process can be divided into self-positioning and targeting node node positioning itself to determine the coordinates of the information network node . The targeting information is needed to determine the coordinates of a target within the network coverage or an event. Node itself is the process of determining the positioning properties of the network itself, or you can use the manual calibration of various node localization algorithm to complete. Targeting the location of the network nodes is known as the reference node, the destination node determines that the event or the location in the network.

II. SYSTEM DESIGN

TIn sensor networks, most existing node localization algorithms, reference anchor nodes are positioned to take advantage of the way place. A large number of sensor nodes in the target area in the layout: a portion called the particular node, also called anchor node (beacon), which themselves can be obtained by carrying the exact location of the GPS positioning apparatus or artificial means, and have more than node powerful capabilities, but such a small proportion of nodes; node other unknown locations themselves, through their neighbor nodes to communicate to get information of each anchor nodes, these nodes using the location information as a reference, and use some calculations to get their position known to the unknown is called a node (node)

In wireless sensor networks usually used only two-dimensional coordinate system of .So long as we know from the unknown node with three anchor nodes

can calculate the position of the unknown node.

Figure 1. Schematic trilateral positioning

Assuming three anchor node coordinates are (X1,

Y1), (X2, Y2), (X3, Y3), the coordinates of the unknown node (Xu, Yu), unknown node distances from three anchor nodes are R1, R2 , R3, shown in Figure 3-2, the distance formula based on a two-dimensional coordinate system of equations can be obtained as

follows:

(1)

The above equations are usually solved using the maximum likelihood method estimates the unknown node coordinate multilateral used (Xu, Yu):

(2)

In summary, it may obtain a plurality of unknown nodes as long as the anchor node that the unknown distance from the node to the anchor node 3 may be positioned on the practical application of the unknown node, this calculation can be different for each selected three points, and finally The results were averaged for several times and thus improve the positioning accuracy.

III. Specific positioning algorithm

A. APIT Algorithm

APIT algorithm theoretical basis is the best point inside the triangle test method PIT. PIT test principle is that if there is a direction unknown nodes simultaneously moving along this direction away from or close to three beacon nodes, then the unknown nodes located in three beacon nodes outside the triangle; otherwise unknown nodes located within the triangle. Point test using the network in a relatively high density of nodes to simulate the mobile nodes using wireless signal propagation characteristics to determine whether far or near beacon nodes within the approximate triangle, usually in a given direction, a node from another node the farther the received signal strength is weaker. Neighbor nodes exchange their received signal strength determination of a distance of beacon nodes, the nodes to move mimic PIT. B.Centroid Positioning Algorithm

Centroid algorithm, the beacon node to a neighboring node periodically broadcasts a beacon packet, a beacon packet contains the identification number and the location information of beacon nodes. When the node receives the unknown number of different beacon beacon packet from a node or reception exceeds a certain threshold time, the position of which determines its beacon nodes consisting of the centroid of the polygon.

Centroid algorithm based solely on network connectivity, and therefore relatively easy to implement. However, this method is affected by the density of the beacon nodes. Centroid algorithm for improved algorithm, density adaptive HEAP algorithm, by increasing the beacon beacon nodes nodes in a low density area in order to improve the positioning accuracy.

C. DV-Hop Positioning Algorithm

An advantage of the proposed method of ideological distance vector routing and GPS positioning. Consists of three phases: First, all nodes in the network to obtain the number of hops from a beacon node; Secondly, when obtaining the position and the other beacon nodes hop distance apart, the beacon nodes calculate the average hop distance of the network, giving their survival period, then the survival of the school with a positive value in the webcast. Unknown node receives only record the first correction, and forwarded to the neighbors. This strategy ensures that the vast majority of node receives an average hop distance from the nearest beacon node. According unknown node hops records to calculate distance to jump beacon nodes.... D. RSSI Algorithm

RSSI measurement model and the theoretical model of general experience using the signal propagation. For empirical model before the actual positioning, first select a number of test points, records the received signal strength at these points of the base stations, to establish the relationship between position and signal strength line database (x, y, ss1, ss2 respective points, ss3 ). In the actual positioning, based on the measured signal strength (ss1 ', ss2', ss3 ') and the signal strength recorded in the database by comparing the variance of the coordinates of the minimum signal strength that are used as the coordinates of the node point.

IV. The simulation results

A.

APIT Algorithm

Figure 2. Node Distribution

(300 nodes, including 60 anchor nodes, red * indicates anchor

nodes, blue O represents the unknown node )

Figure 3. Neighbor relationship diagram

(300 nodes, including 60 anchor nodes, red * indicates anchor

nodes, red O indicates unknown node communication radius: 200m, anchor node communication radius:200m, communication model: Regular Model, the average connectivity of the network is: 31.1133, the average number of neighbor nodes of the network anchor is: 6.18)

Figure 4. Figure positioning error

(Red * indicates anchor nodes, blue O represents an estimate of

the position of the unknown node, black O that they can not be positioned unknown nodes, blue - shows the positioning error of unknown nodes (nodes connected to an unknown location and estimate the true position), a total of 300 node: 60 anchor nodes, 240 unknown nodes, 0 unknown nodes can not be located, the positioning error of 0.29857)

V. CONCLUSIONS

Five algorithms are square_random selected node distribution, GPS errors are 30m, communication radius comm-r are 200 unified communication model for the same communication model Regular Model folder, a list of error will be calculated by the five algorithms ,As shown in Figure 5:

Figure 5. Positioning deviation

Seen from the table, the maximum error and the Centroid APIT algorithm followed DV-Hop algorithm then Amorphous algorithm is the smallest error RSSI algorithm.

REFERENCES

[1] OU Dexiang, W ANG Zhizhong. “The Design for Intelligent Node of DCS Based CAN Bus”. Electronic & Computer Design World, vol 19,2002.

[2] SUN Huixian, ZHANG Yuhua, LUO Feilu. “Data Collection System for Power Monitor Based on USB and CAN Bus”. Proceedings of the CSU–EPSA, vol 21, pp: 99-103, 2009.

[3] ZHANG Zhen-wei, HUANG Shi-hong, “The Design of Vibration Signal Acquisition Sys tem,” Turbine Technology, 49 (3), pp.187-188, March 2007.

[4] XU Huazhong, “FENG Bo. Design of USB Module Based on PDIUSBD12.”.Journal of Wuhan University of Technology(Information&Management Engineering), vol 02, 2008.

[5] LI Jinbo. “Design and Realizat ion of USB2.0 Interface in Equipment Condition Monitoring Instrument”. Process Automation Instrumentation.

V ol 29, pp: 14-17, 2008.

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兰州交通大学 学期论文 中文题目建筑市场及其发展 英文题目Construction Market and its Development 专业通信工程 姓名徐宏 学号201210048 指导教师刘虹 提交日期December.24 兰州交通大学

学期论文评语

摘要 随着市场经济快速的发展,作为领军行业的工程建筑行业发展势头迅猛,并成为我国市场经济发展中的领军行业,带动我国市场经济的发展。 自从改革开放以来,我国建筑业得到了很大的发展,其产值在国民生产总值中的比重逐年增加,它的发展带动了一大批相关产业,如钢铁、建材、化工、家电等上下游产业的迅猛发展。从发达工业化国家建筑业发展的规律来看,我国正处在农业国逐步转变为工业化国家的历史阶段。在这个较长的历史发展阶段,建筑市场潜力巨大,建筑业具有广阔的发展前景。建筑业作为国有经济的重要的物质生产部门,将随着我国工业化进程的加快,而进入长期稳定发展的时期。本论文通过对建筑市场及其发展的介绍,让我们进一步了解我国建筑行业的发展。 本论文由五部分组成。第一章,简介建筑市场及其分类方式。第二章,从广义和狭义两个方面来简述建筑市场的概念。第三章,说明建筑市场的主体,包括业主,承包商,中介机构三方面。第四章,介绍建筑市场的客体,也就是建筑产品。第五章,结论部分,介绍我国建筑市场现状及其发展趋势。 关键词:建筑行业建筑市场现状发展

Abstract With the rapid development of market economy, construction industry as the leading industry is developing rapidly, and become China's market economy development in the leading industry, promote the development of market economy in china. ○1“Since the reform and opening up, China's construction industry has been greatly developed, the proportion of its output value in GDP has increased year by year, which led to the development of a large number of related industries, such as the rapid development of iron and steel, building materials, chemical, home appliances and other downstream industries.”From the view of development of construction industry of developed industrial countries, China is in an agricultural country gradually into the historical stage of industrialized countries. In the long historical development stage, the construction market has great potential, the construction industry has a broad development prospect. The construction industry as a state-owned economy the important material production sector, along with the acceleration of China's industrialization, and enter a long-term stable development period. In this paper, through the construction market and its development is introduced, let us further understand the development of the construction industry in our country. This thesis consists of five parts. The first chapter, introduction of the construction market and its classification. The second chapter, from the broad sense and narrow sense concept of two aspects of the construction market. The third chapter, the main body, the construction market include the owner, contractor, agencies from three aspects. The fourth chapter introduces the architecture, object market, also is the building products. The fifth chapter, the conclusion part, introduces the status quo of China's construction market and its development trend. Keywords: Construction industry Construction market The present situation Development

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