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在RFID和WSN融合網(wǎng)中的能耗優(yōu)化研究

發(fā)布時間:2018-04-27 02:01

  本文選題:融合網(wǎng)絡(luò) + 能耗優(yōu)化。 參考:《南京郵電大學(xué)》2017年碩士論文


【摘要】:RFID(Radio Frequency Identification)具有非接觸身份識別的技術(shù)優(yōu)勢,WSN(Wireless Sensor Networks,WSN)具有自組織拓?fù)浣Y(jié)構(gòu)的技術(shù)優(yōu)勢,而將兩者融合后的網(wǎng)絡(luò)具有強(qiáng)大的功能和廣闊的應(yīng)用前景。它對農(nóng)業(yè)生產(chǎn)、物流倉儲、食品檢測、環(huán)境檢測等領(lǐng)域產(chǎn)生深遠(yuǎn)的影響,現(xiàn)在已有一些基于融合網(wǎng)絡(luò)的智能化的系統(tǒng)被探索應(yīng)用。融合網(wǎng)絡(luò)的能耗較高的問題一直是制約網(wǎng)絡(luò)發(fā)展的關(guān)鍵問題之一,也是融合網(wǎng)絡(luò)中一個重要的研究課題。本文首先對RFID、WSN、以及RFID和WSN融合的技術(shù)背景、發(fā)展歷程、研究現(xiàn)狀等進(jìn)行簡單介紹,然后分別從網(wǎng)絡(luò)覆蓋、分簇路由協(xié)議方面對融合網(wǎng)絡(luò)進(jìn)行分析研究,并提出新的解決方法。本文從以下方面進(jìn)行了探討:(1)分析RFID和WSN融合的融合方式,對網(wǎng)絡(luò)的結(jié)構(gòu)、系統(tǒng)、工作方式以及技術(shù)標(biāo)準(zhǔn)進(jìn)行了總結(jié)。(2)在研究網(wǎng)絡(luò)覆蓋策略時,對網(wǎng)絡(luò)覆蓋中的網(wǎng)絡(luò)輪換休眠策略進(jìn)行詳細(xì)的研究,分別對普通的輪換休眠策略、隨機(jī)退避時間輪換休眠策略、基于能量的退避時間輪換休眠策略進(jìn)行了分析。研究發(fā)現(xiàn),輪換休眠的休眠判定條件存在著的問題,基于此提出新的輪換休眠判定條件,并對其進(jìn)行了論證。(3)對均勻分簇路由協(xié)議進(jìn)行了梳理,重點(diǎn)分析了LEACH、HEED、PEGASIS等路由協(xié)議的主要思想、算法流程、優(yōu)缺點(diǎn)。基于這些對路由算法的分析和前文中覆蓋策略研究,提出一種基于覆蓋和路由的分簇路由協(xié)議算法。它將輪換休眠策略中的盲休眠節(jié)點(diǎn)作為簇首選擇的一個影響因子,同時針對融合網(wǎng)絡(luò)的特點(diǎn)提出父子簇首的策略。仿真實(shí)驗(yàn)表明,改進(jìn)后的算法具有更長的生存時長和更好的能耗均衡性。(4)對非均分簇路由協(xié)議中非均勻分簇的成因和現(xiàn)有的非均勻路由算法進(jìn)行了分析和總結(jié)。針對LDUC路由算法中節(jié)點(diǎn)的鄰居節(jié)點(diǎn)的范圍不迎合競爭半徑的需要,提出新的節(jié)點(diǎn)密度計算方法。同時基于候選簇首選擇的隨機(jī)性問題,提出改進(jìn)的基于時間廣播的競爭算法。仿真實(shí)驗(yàn)表明,改進(jìn)后的有更好的生存時長,更低的網(wǎng)絡(luò)能耗系數(shù)。
[Abstract]:RFID(Radio Frequency Identification has the technical advantage of contactless identification. WSNN Wireless Sensor Networks (WSNN) has the technical advantage of self-organization topology, but the network after merging the two has powerful function and broad application prospect. It has a profound impact on agricultural production, logistics warehousing, food detection, environmental detection and other fields. Now, some intelligent systems based on integrated network have been explored and applied. The problem of high energy consumption in fusion networks is one of the key problems restricting the development of networks, and it is also an important research topic in convergence networks. In this paper, the technical background, development history and research status of RFID-WSNand RFID and WSN fusion are introduced briefly. Then, the network coverage and clustering routing protocol are analyzed and studied respectively, and a new solution is put forward. This paper discusses the fusion of RFID and WSN from the following aspects, summarizes the network structure, system, working mode and technical standard. The network rotation dormancy strategy in network coverage is studied in detail. The general rotation sleep strategy, the random Backoff time rotation sleep strategy and the energy based Backoff time rotation sleep strategy are analyzed respectively. It is found that there are some problems in the sleep determination condition of rotation sleep. Based on this, a new decision condition of rotation dormancy is proposed and demonstrated. (3) the uniform clustering routing protocol is combed out. The main idea, algorithm flow, merits and demerits of the routing protocols, such as Leech, Hedo, PEGASIS and so on, are analyzed in detail. Based on the analysis of these routing algorithms and the study of the coverage strategy in the previous paper, a clustering routing protocol algorithm based on overlay and routing is proposed. The blind sleep node in the rotation sleep strategy is regarded as a factor of cluster head selection, and the parent and son cluster head strategy is proposed according to the characteristics of the fusion network. Simulation results show that the improved algorithm has longer survival time and better energy balance. It analyzes and summarizes the causes of non-uniform clustering and the existing non-uniform routing algorithms. In order to solve the problem that the range of neighbor nodes in LDUC routing algorithm does not meet the need of competition radius, a new method for calculating node density is proposed. At the same time, an improved competition algorithm based on time broadcast is proposed based on the randomness of the selection of candidate cluster heads. The simulation results show that the improved network has better survival time and lower energy consumption coefficient.
【學(xué)位授予單位】:南京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN929.5;TP212.9;TP391.44

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孫增友;周池;;基于能量和距離的WSN自適應(yīng)分簇算法[J];東北電力大學(xué)學(xué)報;2016年01期

2 黃廷輝;伊凱;崔更申;王玉良;;基于非均勻分簇的無線傳感器網(wǎng)絡(luò)分層路由協(xié)議[J];計算機(jī)應(yīng)用;2016年01期

3 馮琳;冉曉e,

本文編號:1808664


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