【摘要】：隨著通信、嵌入式計(jì)算和傳感器技術(shù)的飛速發(fā)展和日趨成熟,具備感知、計(jì)算和通信能力的微型傳感器在世界范圍內(nèi)開始涌現(xiàn)。由這些微型傳感器組成的以無線的方式進(jìn)行通信的無線傳感器網(wǎng)絡(luò)吸引了人們的高度關(guān)注。這種無線傳感器網(wǎng)絡(luò)能夠通過協(xié)作的方式實(shí)時(shí)監(jiān)測、感知和采集WSN網(wǎng)絡(luò)分布覆蓋區(qū)域內(nèi)的各種環(huán)境或監(jiān)測目標(biāo)的信息,并將這些信息傳送給需要這些信息的用戶。然而,構(gòu)成無線傳感器網(wǎng)絡(luò)的傳感器節(jié)點(diǎn)的能量是有限的,因此,待能量耗盡無線傳感器網(wǎng)絡(luò)也就不能給用戶提供服務(wù)。 為了提高網(wǎng)絡(luò)的生命期,就需要高效利用有限的傳感器節(jié)點(diǎn)能量,而數(shù)據(jù)融合技術(shù)就是對傳感器獲取的數(shù)據(jù)進(jìn)行處理,以減少網(wǎng)絡(luò)數(shù)據(jù)量、獲取詳盡、準(zhǔn)確的數(shù)據(jù)為目的。因此,無線傳感器網(wǎng)絡(luò)中的數(shù)據(jù)融合技術(shù)便成為了重要研究課題。 本文深入分析了現(xiàn)有的基于靜態(tài)分簇和動(dòng)態(tài)分簇?cái)?shù)據(jù)融合機(jī)制,以及定向擴(kuò)散路由中的數(shù)據(jù)融合和基于分層結(jié)構(gòu)的數(shù)據(jù)融合技術(shù),針對這些數(shù)據(jù)融合機(jī)制存在問題,在此基礎(chǔ)上提出了靜動(dòng)態(tài)分簇相結(jié)合的數(shù)據(jù)融合及一種基于層次結(jié)構(gòu)的能量均衡數(shù)據(jù)融合機(jī)制。最后,還對實(shí)驗(yàn)平臺(tái)進(jìn)行了介紹,并研究了無線傳感器網(wǎng)絡(luò)數(shù)據(jù)融合技術(shù)在煤礦設(shè)備現(xiàn)場診斷系統(tǒng)數(shù)據(jù)采集中的應(yīng)用,達(dá)到了預(yù)期的效果。
[Abstract]:With the rapid development and maturity of communication, embedded computing and sensor technology, micro sensors with sensing, computing and communication capabilities are emerging all over the world. Wireless sensor networks composed of these micro sensors have attracted much attention. This wireless sensor network can monitor and collect the information of various environments or monitoring targets in the distributed coverage area of the WSN network in a cooperative way and transmit the information to the users who need the information. However, the energy of sensor nodes that constitute wireless sensor networks is limited, so the wireless sensor networks can not provide services to users when the energy is exhausted. In order to improve the lifetime of the network, it is necessary to efficiently utilize the limited energy of sensor nodes, and data fusion technology is to process the data obtained by the sensor in order to reduce the amount of network data and obtain detailed and accurate data. Therefore, data fusion technology in wireless sensor networks has become an important research topic. In this paper, the existing data fusion mechanisms based on static clustering and dynamic clustering, as well as the data fusion techniques in directional diffusion routing and hierarchical data fusion are deeply analyzed. There are some problems in these data fusion mechanisms. Based on this, a static and dynamic clustering data fusion and an energy balance data fusion mechanism based on hierarchical structure are proposed. Finally, the experimental platform is introduced, and the application of wireless sensor network data fusion technology in coal mine equipment field diagnosis system data acquisition is studied.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP212.9;TN929.5

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本文編號：2353371