【摘要】：當(dāng)今社會(huì)，各種各樣的通信手段和技術(shù)不斷的更新、發(fā)展，同時(shí)，網(wǎng)絡(luò)的發(fā)展也從互聯(lián)網(wǎng)轉(zhuǎn)向了所有的設(shè)備和機(jī)器都可以互相連通的方向，實(shí)現(xiàn)NetworkEverything，也就是我們所說(shuō)的物聯(lián)網(wǎng)通信。物聯(lián)網(wǎng)（Internet of Things,IOT）可以被稱(chēng)為是新一代信息技術(shù)重要的組成部分，它最終實(shí)了現(xiàn)物和物、物和人以及人和人之間的相互連通。 物聯(lián)網(wǎng)中，節(jié)點(diǎn)分布非常廣泛，而且數(shù)量巨大，在這種情況下，對(duì)各節(jié)點(diǎn)采集的數(shù)據(jù)進(jìn)行必要的融合處理是很重要的。數(shù)據(jù)融合技術(shù)已經(jīng)發(fā)展的很成熟，，但是由于物聯(lián)網(wǎng)與其他網(wǎng)絡(luò)相比有其本身的特點(diǎn)，所以當(dāng)把已有的數(shù)據(jù)融合算法直接應(yīng)用于物聯(lián)網(wǎng)中時(shí)會(huì)產(chǎn)生很多的不適應(yīng)因素，本篇論文主要研究的就是數(shù)據(jù)融合不適應(yīng)物聯(lián)網(wǎng)特點(diǎn)的方面，通過(guò)分析研究針對(duì)這些特點(diǎn)提出具體的改進(jìn)方案。 物聯(lián)網(wǎng)的特點(diǎn)之一是數(shù)據(jù)的海量性，數(shù)據(jù)融合算法直接應(yīng)用于物聯(lián)網(wǎng)時(shí)會(huì)因?yàn)槲锫?lián)網(wǎng)的海量數(shù)據(jù)而導(dǎo)致融合節(jié)點(diǎn)能量的大量消耗甚至節(jié)點(diǎn)的過(guò)早死亡，所以需要對(duì)物聯(lián)網(wǎng)的數(shù)據(jù)融合算法進(jìn)行改進(jìn)，使其適應(yīng)物聯(lián)網(wǎng)的這一特點(diǎn)。另外，物聯(lián)網(wǎng)對(duì)數(shù)據(jù)具有實(shí)時(shí)性的要求，而且對(duì)不同類(lèi)型的數(shù)據(jù)實(shí)時(shí)性要求是不同的，如果融合之前數(shù)據(jù)是按照原路由方式進(jìn)行傳輸，即使進(jìn)行了正確的融合處理，得到的結(jié)果也不是物聯(lián)網(wǎng)所需要的，即沒(méi)有體現(xiàn)出物聯(lián)網(wǎng)數(shù)據(jù)實(shí)時(shí)性不同這一特點(diǎn)。所以在改進(jìn)融合算法之前還應(yīng)該首先對(duì)數(shù)據(jù)的傳輸方式進(jìn)行改進(jìn)，為數(shù)據(jù)融合結(jié)果的準(zhǔn)確性打好前提，這才能使得到的結(jié)果符合物聯(lián)網(wǎng)的特點(diǎn)。 為了完成以上任務(wù)，本文主要做了兩方面的工作。一、為了使待融合的數(shù)據(jù)符合物聯(lián)網(wǎng)中對(duì)數(shù)據(jù)實(shí)時(shí)性要求不同的特點(diǎn)，論文選取了基礎(chǔ)的LEACH算法作為原型進(jìn)行改進(jìn)，通過(guò)改進(jìn)使得各類(lèi)數(shù)據(jù)能夠按照不同的時(shí)間長(zhǎng)度進(jìn)行傳輸，保證了融合的結(jié)果能夠符合物聯(lián)網(wǎng)的特點(diǎn)，為數(shù)據(jù)融合打下了良好的基礎(chǔ)。二、針對(duì)物聯(lián)網(wǎng)中數(shù)據(jù)海量性這一特點(diǎn)，論文以模糊算法為基礎(chǔ)，通過(guò)閾值范圍的設(shè)置，減少了除首次外的融合數(shù)據(jù)的數(shù)據(jù)量，然后引入了權(quán)重值的概念，使其更適應(yīng)剩余數(shù)據(jù)的融合。最終使得數(shù)據(jù)融合可以更好的應(yīng)用在物聯(lián)網(wǎng)的海量數(shù)據(jù)環(huán)境下。 在論文最后，對(duì)以上提到的改進(jìn)算法進(jìn)行了仿真，仿真結(jié)果表明，數(shù)據(jù)融合基于物聯(lián)網(wǎng)中兩方面特點(diǎn)的改進(jìn)算法都達(dá)到了預(yù)期的效果，即使得數(shù)據(jù)融合更好地適應(yīng)了物聯(lián)網(wǎng)的新環(huán)境。
[Abstract]:In today's society, various communication means and technologies are constantly updated and developed. At the same time, the development of the network has also shifted from the Internet to the direction in which all devices and machines can be connected to each other, so as to realize NetworkEverything,. This is what we call Internet of things communications. The Internet of things (Internet of Things,IOT) can be described as an important part of the new generation of information technology. In the Internet of things, the nodes are widely distributed and have a large number of nodes. In this case, it is very important to perform the necessary fusion processing of the data collected by each node. Data fusion technology has been developed very mature, but because the Internet of things has its own characteristics compared with other networks, when the existing data fusion algorithm is directly applied to the Internet of things, there will be a lot of unsuitable factors. In this paper, the main research is that data fusion is not suitable for the characteristics of the Internet of things, through the analysis of these characteristics to put forward a specific improvement scheme. One of the characteristics of the Internet of things is the magnanimity of the data. When the data fusion algorithm is directly applied to the Internet of things, it will lead to a large amount of energy consumption and even premature death of the nodes because of the mass data of the Internet of things. So we need to improve the data fusion algorithm of the Internet of things to adapt to this characteristic of the Internet of things. In addition, the Internet of things has real-time requirements for data, and different types of data real-time requirements are different, if the data before fusion is transmitted according to the original routing mode, even if the correct fusion processing, The results obtained are not required by the Internet of things, that is, it does not reflect the difference in real-time performance of the Internet of things data. Therefore, before improving the fusion algorithm, we should first improve the transmission mode of data, and make a good premise for the accuracy of the data fusion results, which can make the results accord with the characteristics of the Internet of things. In order to complete the above task, this paper mainly do two aspects of work. First, in order to make the data to be fused in accordance with the different characteristics of real-time data in the Internet of things, this paper selects the basic LEACH algorithm as the prototype to improve the data transmission according to different time length. It ensures that the fusion results can accord with the characteristics of the Internet of things, and lays a good foundation for data fusion. Secondly, aiming at the characteristic of data magnanimity in the Internet of things, based on fuzzy algorithm, this paper reduces the amount of data of fusion data except for the first time by setting the threshold range, and then introduces the concept of weight value. Make it more suitable for the fusion of the remaining data. Finally, data fusion can be better applied in the mass data environment of the Internet of things. At the end of the paper, the improved algorithm mentioned above is simulated. The simulation results show that the improved algorithm of data fusion based on the two aspects of the Internet of things has achieved the desired results. Even if data fusion is better adapted to the new environment of the Internet of things.
【學(xué)位授予單位】：遼寧大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP391.44;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 黃漫國(guó);樊尚春;鄭德智;邢維巍;;多傳感器數(shù)據(jù)融合技術(shù)研究進(jìn)展[J];傳感器與微系統(tǒng);2010年03期

2 王剛,趙海,魏守智;基于威脅博弈理論的決策級(jí)融合模型[J];東北大學(xué)學(xué)報(bào);2004年01期

3 劉婭;徐震;楊蕾;;基于物聯(lián)網(wǎng)的無(wú)線傳感器網(wǎng)絡(luò)路由協(xié)議研究[J];光通信研究;2014年01期

4 童樹(shù)鴻,沈毅,劉志言;數(shù)據(jù)融合的模糊模型和算法研究[J];哈爾濱工業(yè)大學(xué)學(xué)報(bào);2002年01期

5 周開(kāi)樂(lè);丁帥;胡小建;;面向海量數(shù)據(jù)應(yīng)用的物聯(lián)網(wǎng)信息服務(wù)系統(tǒng)研究綜述[J];計(jì)算機(jī)應(yīng)用研究;2012年01期

6 陳聞杰;陳迅;高麗強(qiáng);陳章龍;涂時(shí)亮;;無(wú)線傳感器網(wǎng)絡(luò)成簇算法研究[J];小型微型計(jì)算機(jī)系統(tǒng);2008年02期

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