本文選題：無線傳感器網(wǎng)絡(luò) + 節(jié)點定位　； 參考：《哈爾濱工程大學(xué)》2014年碩士論文

【摘要】：作為一門新興的技術(shù),無線傳感器網(wǎng)絡(luò)(WSN, Wireless Sensor Network)的應(yīng)用前景無限廣闊。只需要將大量體型微小的傳感器節(jié)點部署到目標(biāo)區(qū)域,就可以使用這些節(jié)點采集區(qū)域內(nèi)的各種信息,例如最常見的溫度、濕度等,然后對信息進(jìn)行篩選與整理,最終通過整個網(wǎng)絡(luò)將信息匯總到基站,供終端用戶使用。目前無線傳感器網(wǎng)絡(luò)已經(jīng)得到了廣泛的使用,比較常見的有環(huán)境監(jiān)測與預(yù)報、交通運輸、防火警報、基礎(chǔ)設(shè)施保護(hù)、農(nóng)業(yè)生產(chǎn)、醫(yī)療護(hù)理、工業(yè)傳感以及軍事監(jiān)測等。隨著科學(xué)的發(fā)展與技術(shù)的進(jìn)步,無線傳感器網(wǎng)絡(luò)將為社會的發(fā)展作出更多的貢獻(xiàn)。由于WSN主要是用來感知監(jiān)測網(wǎng)絡(luò)部署區(qū)域的各種環(huán)境特性,所以在很多情況下,傳感器節(jié)點采集的信息都要與節(jié)點自身的位置信息相關(guān)聯(lián),而沒有節(jié)點位置的感知信息往往意義不大。因此節(jié)點的定位技術(shù)對WSN的發(fā)展與應(yīng)用影響巨大�；跓o控事件的定位算法(LUE,Sensor Node Localization with Uncontorlled Events)通過借助外部事件輔助節(jié)點定位,來有效地減少定位過程中錨節(jié)點的數(shù)量。但無論是直線掃描事件還是環(huán)形擴(kuò)散事件,在同一錨節(jié)點分布條件下總是存在事件冗余的情況,這使得定位的效率較低。為了解決事件冗余的問題,本文將移動錨節(jié)點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線掃描事件定位算法(LLSE, Sensor Node Localization with Linear Scan Events)的基礎(chǔ)上提出了基于直線掃描事件與移動錨節(jié)點的定位算法(LLSEMA, Sensor Node Localiztion with Linear Scan Events and Mobile Anchors)。LLSEMA算法利用移動錨節(jié)點和最高效事件選取策略來減少冗余事件,仿真實驗的結(jié)果表明,和LLSE算法相比,LLSEMA算法的定位效率與定位精度都有較大的提高。本文第四章在基于環(huán)形擴(kuò)散事件定位算法(LADE, Sensor Node Localization with Annular Diffusion Events)的基礎(chǔ)上提出了基于環(huán)形擴(kuò)散事件與移動錨節(jié)點的定位算法(LADEMA, Sensor Node Localization with Annular Diffusion Events and Mobile Anchors)。LADEMA算法利用移動錨節(jié)點和錨節(jié)點調(diào)整策略來減少冗余事件,仿真實驗的結(jié)果表明,和LADE算法相比,LADEMA算法的定位效率與定位精度都有較大的提高。
[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.
【學(xué)位授予單位】：哈爾濱工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP212.9;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孟侃良;章民融;;無線傳感器網(wǎng)絡(luò)DV-Hop定位算法誤差分析[J];計算機(jī)應(yīng)用與軟件;2012年12期

2 吳丘林;李喬良;;基于對稱平衡不完全區(qū)組設(shè)計的持續(xù)安全管理密鑰預(yù)分配方案[J];計算機(jī)應(yīng)用;2012年04期

3 彭宇;王丹;;無線傳感器網(wǎng)絡(luò)定位技術(shù)綜述[J];電子測量與儀器學(xué)報;2011年05期

4 周小波;喬鋼柱;曾建潮;;無線傳感器網(wǎng)絡(luò)中基于RSSI的加權(quán)DV-HOP定位方法[J];計算機(jī)工程與應(yīng)用;2011年14期

5 馮秀芳;崔秀鋒;祈會波;;無線傳感器網(wǎng)絡(luò)中基于移動錨節(jié)點的APIT的改進(jìn)定位算法[J];傳感技術(shù)學(xué)報;2011年02期

6 陳昌祥;達(dá)維;周潔;;基于RSSI的無線傳感器網(wǎng)絡(luò)距離修正定位算法[J];通信技術(shù);2011年02期

7 黃毅;胡愛群;;無線傳感器網(wǎng)絡(luò)定位算法綜述[J];電信科學(xué);2010年07期

8 劉輝亞;徐建波;;無線傳感器網(wǎng)絡(luò)分布式的移動節(jié)點定位研究[J];計算機(jī)工程與應(yīng)用;2010年17期

9 黃梅根;常新峰;;一種基于蒙特卡羅法的無線傳感器網(wǎng)絡(luò)移動節(jié)點定位算法研究[J];傳感技術(shù)學(xué)報;2010年04期

10 張鴻飛;董齊芬;俞立;;基于局部信標(biāo)選擇的無線傳感器網(wǎng)絡(luò)定位算法[J];傳感技術(shù)學(xué)報;2010年04期

相關(guān)博士學(xué)位論文 前1條

1 余義斌;傳感器網(wǎng)絡(luò)定位算法及相關(guān)技術(shù)研究[D];重慶大學(xué);2006年

相關(guān)碩士學(xué)位論文 前4條

1 施進(jìn);基于三邊測量法的無線傳感器網(wǎng)絡(luò)定位技術(shù)的研究[D];哈爾濱工程大學(xué);2012年

2 王曉鵬;WSN節(jié)點定位中不適定問題的研究[D];山東大學(xué);2011年

3 劉少飛;無線傳感器網(wǎng)絡(luò)中基于DV-Hop的節(jié)點定位算法研究[D];太原理工大學(xué);2010年

4 黎作鵬;基于移動錨節(jié)點的無線傳感器網(wǎng)絡(luò)定位技術(shù)研究[D];哈爾濱工程大學(xué);2010年

，

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