本文關(guān)鍵詞： 無線傳感器網(wǎng)絡(luò) 定位 移動錨節(jié)點 定向天線 功率分級　出處：《廣東工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著傳感技術(shù)、嵌入式技術(shù)、無線通信技術(shù)的快速發(fā)展,無線傳感器網(wǎng)絡(luò)技術(shù)已越來越多的應(yīng)用于人們?nèi)粘Ｉ�。定位技術(shù)是無線傳感器網(wǎng)絡(luò)關(guān)鍵技術(shù)之一。本文主要研究基于定向天線的移動無線傳感器網(wǎng)絡(luò)定位算法,本文主要工作如下:(1)本文詳細(xì)闡述了無線傳感器網(wǎng)絡(luò)的基礎(chǔ)理論、常用的節(jié)點計算方法和定位算法的性能評價標(biāo)準(zhǔn),對移動無線傳感器網(wǎng)絡(luò)定位算法進行了總結(jié)和歸納,分析了算法誤差產(chǎn)生的原因。(2)移動錨節(jié)點的移動路徑規(guī)劃在一定程度上會影響定位精度,因此,深入研究了節(jié)點移動模型和幾種靜態(tài)路徑規(guī)劃算法包括:Scan、Double Scan和Hilbert模型,并且研究了各種模型的優(yōu)點和缺點。并且,為了保證算法對比的公平性,仿真實驗中提出了一種移動路徑規(guī)劃,以保證路徑規(guī)劃不會影響對比算法定位誤差。(3)研究了不同天線類型對定位誤差的影響。分別對全向天線和定向天線算法進行了分析,總結(jié)了影響算法定位誤差的因素。以Ssu定位算法為例詳細(xì)分析了環(huán)境因素對全向天線的定位算法的影響,Ssu算法使用通信圓上的弦來完成定位,不規(guī)則環(huán)境下會影響弦的端點,從而影響定位精度;以BLI(the Border Line Intersection)算法為例研究和總結(jié)了使用定向天線定位算法的優(yōu)點和缺點,分析了BLI算法的原理和造成定位誤差的原因,使用一個定向天線邊界的交點來替代整個相交區(qū)域,定位誤差較大。(4)在移動無線傳感器網(wǎng)絡(luò)定位中,由于全向天線信號容易受環(huán)境影響而造成定位誤差較大。并且,現(xiàn)實中的定線天線主瓣寬度通常在60度到120度之間,定向天線的定位相交區(qū)域較大。本文提出了一種改進的基于定向天線的移動無線傳感器網(wǎng)絡(luò)定位算法(DADLP,Directional Antenna in Different Level of Power),使用一個帶有單個定向天線的移動錨節(jié)點周期性廣播輔助定位信息,未知節(jié)點接收到定位信號后,根據(jù)接收功率分為若干等級,進一步縮小定位估計區(qū)域。(5)為了驗證DADLP算法性能,本文對DADLP、Ssu、BLI、Abdi、GGDI(the Greatest Gain Direction line Intersection)和RROI(Radiate Region Of Intersection)移動錨節(jié)點算法進行了仿真實驗,并且在Scan路徑模型和DADLP算法移動路徑模型下分別進行對比,仿真結(jié)果表明DADLP算法在兩種路徑模型下定位精度都明顯高于其他幾種算法,并且在規(guī)則和非規(guī)則模型下有更低的平均定位誤差。
[Abstract]:With the rapid development of sensor technology, embedded technology and wireless communication technology, Wireless sensor network (WSN) technology has been applied to people's daily life more and more. Location technology is one of the key technologies in WSN. In this paper, mobile wireless sensor network location algorithm based on directional antenna is studied. The main work of this paper is as follows: (1) in this paper, the basic theory of wireless sensor network (WSN), the commonly used node calculation methods and the performance evaluation standard of location algorithm are described in detail, and the localization algorithm of mobile WSN is summarized and summarized. This paper analyzes the cause of the algorithm error. 2) the moving path planning of the mobile anchor node will affect the positioning accuracy to a certain extent. Therefore, the node moving model and several static path planning algorithms, including the: Scanable Scan and Hilbert model, are studied in detail. And the advantages and disadvantages of various models are studied. In order to ensure the fairness of the algorithm comparison, a mobile path planning is proposed in the simulation experiment. In order to ensure that path planning will not affect the positioning error of the contrast algorithm, the effect of different antenna types on the positioning error is studied. The omnidirectional antenna and directional antenna algorithm are analyzed respectively. The influence of environment factors on the location algorithm of omnidirectional antenna is analyzed in detail. The Ssu algorithm uses the string on the communication circle to complete the localization, which will affect the endpoint of the string in irregular environment. Taking the BLI(the Border Line intersectionalgorithm as an example, the advantages and disadvantages of using directional antenna localization algorithm are studied and summarized, and the principle of BLI algorithm and the cause of the location error are analyzed. Using the intersection point of a directional antenna boundary to replace the whole intersecting area, the positioning error is large. 4) in mobile wireless sensor network, the omnidirectional antenna signal is easy to be affected by the environment and the location error is large. In reality, the width of the main lobe of a fixed line antenna is usually between 60 and 120 degrees. This paper presents an improved location algorithm for mobile wireless sensor networks based on directional antennas, which uses a single directional antenna with a single directional antenna to locate the perimeter of mobile anchor nodes. Secondary broadcast auxiliary location information, After receiving the location signal, the unknown node is divided into several grades according to the received power, and the location estimation area is further reduced. (5) in order to verify the performance of the DADLP algorithm, this paper simulates the algorithm of the mobile anchor node named DADLPU, the Greatest Gain Direction line intersection. and the algorithm of the RROI(Radiate Region of intersection. in order to verify the performance of the algorithm, The simulation results show that the location accuracy of DADLP algorithm is obviously higher than that of other algorithms under the Scan path model and the moving path model of DADLP algorithm. And there are lower average positioning errors in the regular and irregular models.
【學(xué)位授予單位】：廣東工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP212.9;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張宏剛;黃華;;基于RSSI路徑損耗因子動態(tài)修正的三邊質(zhì)心定位算法[J];傳感技術(shù)學(xué)報;2016年11期

2 張會新;陳德沅;彭晴晴;史磊;;一種改進的TDOA無線傳感器網(wǎng)絡(luò)節(jié)點定位算法[J];傳感技術(shù)學(xué)報;2015年03期

3 夏少波;鄒建梅;朱曉麗;連麗君;;無線傳感器網(wǎng)絡(luò)DV-Hop定位算法的改進[J];計算機應(yīng)用;2015年02期

4 陳曉海;彭艦;劉唐;;基于最優(yōu)信標(biāo)節(jié)點的無線傳感器網(wǎng)絡(luò)質(zhì)心定位算法[J];計算機應(yīng)用;2015年01期

5 任克強;莊放望;;移動錨節(jié)點凸規(guī)劃定位算法研究及改進[J];傳感技術(shù)學(xué)報;2014年10期

6 劉政;;基于接收信號強度指示的誤差自校正定位算法[J];傳感技術(shù)學(xué)報;2014年07期

7 蔡曉宇;張愛清;葉新榮;;基于RSSI的無線傳感器網(wǎng)絡(luò)節(jié)點定位算法研究[J];通信技術(shù);2014年06期

8 付琴;劉克中;陳偉;賀琪;陶亞雄;;移動信標(biāo)動態(tài)路徑規(guī)劃方法研究[J];武漢理工大學(xué)學(xué)報;2012年01期

9 魏葉華;李仁發(fā);陳洪龍;羅娟;;無線傳感器網(wǎng)絡(luò)定位中動態(tài)信標(biāo)移動路徑規(guī)劃[J];系統(tǒng)仿真學(xué)報;2009年22期

10 朱紅松;孫利民;;無線傳感器網(wǎng)絡(luò)技術(shù)發(fā)展現(xiàn)狀[J];中興通訊技術(shù);2009年05期

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