發(fā)布時間：2018-05-08 11:00

  本文選題：低壓電力線載波通信 + 分簇蛛網(wǎng)��； 參考：《上海海洋大學》2017年碩士論文

【摘要】：低壓電力線載波通信(Low-voltage Power Line Communication,LVPLC)能夠利用普及的電力線網(wǎng)絡(luò),在傳輸電力的同時,可以承載數(shù)據(jù)、語音和視頻等信息,大量應(yīng)用于遠程路燈監(jiān)控、電力線自動抄表和嵌入式智能家居等系統(tǒng)。然而,由于電力線網(wǎng)絡(luò)物理拓撲的復雜性及易變性原因,使得電力線載波通信網(wǎng)絡(luò)可靠性不足,制約了其規(guī)模擴展。為了解決這一問題,大量研究著眼于對物理層及數(shù)據(jù)鏈路層相關(guān)技術(shù)的改進,但也無法很好解決通信可靠性不足問題,于是人們轉(zhuǎn)向更高層的網(wǎng)絡(luò)層,研究高效、科學的路由協(xié)議。通過對低壓電力線載波通信網(wǎng)絡(luò)(Low-voltage Power Line Communication Network,LVPLCN)路由算法的深入研究,提出多種組合路由算法。但是,現(xiàn)有的各種組網(wǎng)路由算法都存在不同程度的問題,無法兼顧通信的可靠性及算法復雜度。針對通信可靠性和穩(wěn)定性問題,本論文通過深入分析常見路由算法并進行比較總結(jié),在此基礎(chǔ)上,架構(gòu)分簇蛛網(wǎng)結(jié)合組網(wǎng)模型,以非交疊式分簇結(jié)構(gòu)為框架、在同一邏輯層內(nèi)建立類蛛網(wǎng)的結(jié)構(gòu),設(shè)計基于此組網(wǎng)模型的路由算法應(yīng)用于低壓電力線載波通信網(wǎng)絡(luò)。本文首先深入分析常見的路由算法,指出其優(yōu)勢和不足以及改進方向;重點討論了非交疊式分簇算法和單層人工蛛網(wǎng)算法,在此基礎(chǔ)上,充分利用二者的優(yōu)點構(gòu)建“合二為一”的分簇蛛網(wǎng)結(jié)合組網(wǎng)模型。然后基于此組網(wǎng)模型進行組網(wǎng)算法設(shè)計,通過MATLAB仿真工具對算法進行了原理驗證和實例分析。結(jié)果顯示,此組網(wǎng)算法結(jié)合了非交疊式分簇算法和單層人工蛛網(wǎng)算法的優(yōu)點,對復雜的電力線網(wǎng)絡(luò)重新組網(wǎng),優(yōu)化了網(wǎng)絡(luò)結(jié)構(gòu),提高了組網(wǎng)效率,為后續(xù)的路徑尋優(yōu)作了很好的鋪墊。接著針對蟻群算法應(yīng)用于LVPLCN效率低的問題,根據(jù)分簇蛛網(wǎng)結(jié)合組網(wǎng)方法將網(wǎng)絡(luò)組織成以非交疊式分簇結(jié)構(gòu)為框架的類蛛網(wǎng)拓撲,設(shè)計基于分簇蛛網(wǎng)組網(wǎng)的低壓電力線載波通信網(wǎng)絡(luò)路由算法。重新組網(wǎng)后,網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化,節(jié)點之間路徑清晰,可供搜尋選擇的路徑減少,縮短了螞蟻的搜尋時間,避免過早收斂于非最優(yōu)結(jié)果。應(yīng)用蟻群算法以綜合代價最小為目標進行路徑尋優(yōu),建立網(wǎng)關(guān)節(jié)點與網(wǎng)絡(luò)內(nèi)任意節(jié)點的最優(yōu)通信路徑。最后進行路由算法實驗及對比分析,分別運用基本蟻群算法和基于分簇蛛網(wǎng)組網(wǎng)的路由算法對LVPLCN進行路徑尋優(yōu),就算法迭代次數(shù)的路徑時延、丟包率和跳數(shù)進行對比分析。利用有限數(shù)量的電力線載波模塊,搭建實驗平臺,組成低壓電力線網(wǎng)絡(luò),將本文設(shè)計的基于分簇蛛網(wǎng)結(jié)合組網(wǎng)的蟻群路由算法進行小范圍的測驗。實驗結(jié)果表明,基于分簇蛛網(wǎng)組網(wǎng)的低壓電力線載波通信網(wǎng)絡(luò)路由算法提高了通信的可靠性,保障了低壓電力線通信網(wǎng)絡(luò)的穩(wěn)定性,具有一定的實用意義。
[Abstract]:Low-voltage Power Power Line Communication (LVPLC) can carry data, voice and video while transmitting electricity, and can be widely used in remote street lamp monitoring. Power line automatic meter reading and embedded smart home and other systems. However, due to the complexity and variability of the physical topology of the power line network, the reliability of the power line carrier communication network is insufficient, which restricts the expansion of its scale. In order to solve this problem, a great deal of research is focused on improving the related technologies of physical layer and data link layer, but it can not solve the problem of insufficient communication reliability, so people turn to the higher layer of network layer to study high efficiency. Scientific routing protocol. Based on the in-depth study of low-voltage Power Line Communication network routing algorithms for low-voltage power line carrier communication networks, several combinatorial routing algorithms are proposed. However, the existing routing algorithms have different degrees of problems, which can not take into account the reliability of communication and the complexity of the algorithm. Aiming at the problem of communication reliability and stability, this paper analyzes the common routing algorithms and compares them. On this basis, the structure of cluster cobweb is combined with the network model, and the non-overlapping clustering structure is taken as the framework. The structure of cobweb is established in the same logic layer, and the routing algorithm based on this model is designed to be applied to the low voltage power line carrier communication network. This paper analyzes the common routing algorithms, points out their advantages and disadvantages, and discusses the non-overlapping clustering algorithm and single-layer artificial cobweb algorithm. Make full use of the advantages of the two to build a cluster cobweb combined network model. Then, the algorithm is designed based on the model, and the principle of the algorithm is verified by MATLAB simulation tool and an example is analyzed. The results show that this algorithm combines the advantages of non-overlapping clustering algorithm and single-layer artificial cobweb algorithm, and reconstructs the complex power line network, optimizes the network structure and improves the efficiency of the network. For the subsequent path optimization made a good cushion. Then aiming at the problem that ant colony algorithm is applied to the low efficiency of LVPLCN, the network is organized into a cobweb topology based on the non-overlapping clustering structure according to the method of clustering cobweb combined with web formation. A low voltage power line carrier communication network routing algorithm based on cluster cobweb network is designed. After reconstructing the network, the network structure is optimized, the path between nodes is clear, the path available for searching is reduced, the searching time of ants is shortened, and the convergence to non-optimal results is avoided prematurely. Ant colony algorithm (ACA) is used to optimize the path between gateway node and any node in the network with the aim of minimizing the synthesis cost and to set up the optimal communication path between the gateway node and any node in the network. Finally, the routing algorithm experiment and comparative analysis are carried out, and the basic ant colony algorithm and the routing algorithm based on cluster cobweb are used to optimize the path of LVPLCN, even though the path delay, packet loss rate and hop number of iteration times of the method are compared and analyzed. Using a limited number of power line carrier modules, an experimental platform is built to form a low-voltage power line network. The ant colony routing algorithm based on cluster cobweb and networking is tested in a small range. The experimental results show that the low voltage power line carrier communication network routing algorithm based on cluster cobweb network improves the reliability of communication and ensures the stability of low voltage power line communication network.
【學位授予單位】：上海海洋大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN913.6

【參考文獻】

相關(guān)期刊論文 前10條

1 劉曉勝;李延祥;王娟;朱宏林;徐殿國;;低壓電力線分簇蛛網(wǎng)混合多徑盲路由算法及通信協(xié)議設(shè)計[J];電工技術(shù)學報;2015年S1期

2 劉曉勝;張良;徐殿國;;基于蛛網(wǎng)的新型電力線通信組網(wǎng)算法及通信協(xié)議[J];電力系統(tǒng)保護與控制;2012年16期

3 馮濤;瞿競杰;郭顯;;基于概率機制的涌現(xiàn)分簇算法[J];電子科技大學學報;2012年04期

4 丁惜瀛;王優(yōu)胤;曾憲斌;王哲;;基于智能優(yōu)化與磁鏈預測的雙饋電機直接轉(zhuǎn)矩控制[J];電網(wǎng)技術(shù);2010年06期

5 戚佳金;陳雪萍;劉曉勝;;低壓電力線載波通信技術(shù)研究進展[J];電網(wǎng)技術(shù);2010年05期

6 孟凡超;高志強;王春璞;;智能電網(wǎng)關(guān)鍵技術(shù)及其與傳統(tǒng)電網(wǎng)的比較[J];河北電力技術(shù);2009年S1期

7 田志峰;;電力線通信網(wǎng)絡(luò)重構(gòu)方法探討[J];大眾用電;2009年11期

8 蔣偉;楊俊杰;初鳳紅;;寬帶電力線通信技術(shù)及前景展望[J];光通信研究;2009年02期

9 段海濱;王道波;于秀芬;;蟻群算法的研究現(xiàn)狀及其展望[J];中國工程科學;2007年02期

10 劉曉勝;周巖;戚佳金;;電力線載波通信的自動路由方法研究[J];中國電機工程學報;2006年21期

相關(guān)博士學位論文 前1條

1 張良;低壓電力線通信人工蛛網(wǎng)動態(tài)路由方法研究[D];哈爾濱工業(yè)大學;2015年

相關(guān)碩士學位論文 前10條

1 楊慶;基于低壓電力線載波技術(shù)的抄表系統(tǒng)組網(wǎng)及路由研究[D];電子科技大學;2016年

2 李延祥;低壓電力線通信改進組網(wǎng)路由算法與通信協(xié)議研究[D];哈爾濱工業(yè)大學;2015年

3 陳艷;基于低壓電力線載波通信網(wǎng)絡(luò)的路由算法研究[D];湖南大學;2013年

4 陳玉葉;新型路由算法在低壓電力線通信網(wǎng)絡(luò)中的研究與仿真[D];蘭州大學;2013年

5 鄧凱;低壓電力線載波通信網(wǎng)絡(luò)的啟發(fā)式路由算法研究[D];云南大學;2013年

6 郭軍昌;智能配電網(wǎng)電力線載波通信可靠性研究[D];長沙理工大學;2012年

7 李美;低壓電力線載波通信及組網(wǎng)方法研究[D];蘭州大學;2012年

8 冉慶華;低壓電力線通信網(wǎng)絡(luò)的路由技術(shù)研究[D];重慶大學;2011年

9 蔣昭婷;電力線載波通信中的動態(tài)路由算法研究[D];浙江大學;2011年

10 張良;新型電力線載波通信組網(wǎng)模型的研究[D];哈爾濱工業(yè)大學;2010年

，

本文編號：1861123