【摘要】：無線傳感器網(wǎng)絡(luò)(Wireless Sensor Networks,WSN)是一門面向應(yīng)用的,新興的多交叉學(xué)科,未來必然對(duì)人類的生活產(chǎn)生深遠(yuǎn)的影響。在WSN中,能耗問題一直是研究的重點(diǎn)。大量的能耗一般是在節(jié)點(diǎn)的通訊過程中產(chǎn)生的,能耗的大小和節(jié)點(diǎn)之間的距離以及傳輸?shù)臄?shù)據(jù)量有關(guān)。針對(duì)這兩個(gè)方向,目前已經(jīng)有了大量相關(guān)的研究工作。其中比較重要的是以LEACH協(xié)議為代表的WSN分簇路由協(xié)議以及基于代表式的數(shù)據(jù)融合算法。這些協(xié)議及算法為研究WSN能耗問題提供了重要的解決思路,但是這兩種協(xié)議在減少網(wǎng)絡(luò)能耗問題方面都存在著缺陷,本文主要對(duì)這些缺陷和改進(jìn)方向做了描述,本文的主要工作包括:1.首先,針對(duì)LEACH協(xié)議存在的缺陷:隨機(jī)選舉簇頭、節(jié)點(diǎn)采用單跳傳輸以及孤立節(jié)點(diǎn)信息不上傳,提出了LEACH協(xié)議和BIRCH算法相結(jié)合的LEACH-B路由協(xié)議,利用BIRCH算法中的成簇半徑大小和簇內(nèi)子節(jié)點(diǎn)數(shù)來約束WSN成簇的大小。同時(shí),每次選取最大剩余能量的節(jié)點(diǎn)為簇頭,保證網(wǎng)絡(luò)的穩(wěn)定性;孤立節(jié)點(diǎn)單獨(dú)成簇,采集的信息需要單獨(dú)上傳,保證了網(wǎng)絡(luò)采集信息的完整性;節(jié)點(diǎn)之間采用多跳協(xié)同通信,減少了傳輸?shù)哪芎�。最終達(dá)到了降低網(wǎng)絡(luò)傳輸能耗,有效延長網(wǎng)絡(luò)生命周期的目的。2.其次,針對(duì)以往的代表式數(shù)據(jù)融合方法在選取代表節(jié)點(diǎn)方面存在的節(jié)點(diǎn)代表性不強(qiáng)的問題,本文提出了PCCDNCD數(shù)據(jù)融合算法。在PCCDNCD算法中,節(jié)點(diǎn)的相關(guān)性以節(jié)點(diǎn)采集數(shù)據(jù)的皮爾森相關(guān)系數(shù)、節(jié)點(diǎn)之間的物理位置以及鄰居節(jié)點(diǎn)的數(shù)量來衡量,提高了節(jié)點(diǎn)相關(guān)性的精度。然后,按照相關(guān)度對(duì)節(jié)點(diǎn)進(jìn)行分類:sink節(jié)點(diǎn)、普通節(jié)點(diǎn)和孤立節(jié)點(diǎn)。不同節(jié)點(diǎn)選擇不同的傳輸方式,傳輸或者不傳輸數(shù)據(jù)。實(shí)驗(yàn)和仿真結(jié)果表明:PCCDNCD算法融合過后的數(shù)據(jù)較DDCD和PCC算法的融合精度高,網(wǎng)絡(luò)的剩余能量也較DDCD和PCC有了較大改善。PCCDNCD算法可以有效的延長網(wǎng)絡(luò)的生命周期。3.設(shè)計(jì)并實(shí)現(xiàn)了無線傳感器網(wǎng)絡(luò)能耗優(yōu)化系統(tǒng)EOS,文中以森林防火預(yù)警為背景,考慮將LEACH-B和PCCDNCD算法進(jìn)行結(jié)合,運(yùn)用到森林防火預(yù)警系統(tǒng)中。將程序代碼燒寫到100個(gè)節(jié)點(diǎn)中,節(jié)點(diǎn)部署在100*100m的區(qū)域進(jìn)行實(shí)驗(yàn)。基站監(jiān)測(cè)節(jié)點(diǎn)收集的溫度數(shù)據(jù)及節(jié)點(diǎn)的剩余能量狀態(tài),通過對(duì)比一般情況下的節(jié)點(diǎn)的剩余能量和本文提出的EOS的剩余能量,實(shí)驗(yàn)結(jié)果表明,本文提出的EOS系統(tǒng)可以有效的促進(jìn)網(wǎng)絡(luò)平衡,減少網(wǎng)絡(luò)能耗。
[Abstract]:Wireless Sensor Networks (WSN) is an application-oriented, emerging interdisciplinary subject, which will have a profound impact on human life in the future. In WSN, energy consumption is always the focus of research. A large amount of energy consumption is usually generated in the communication process of nodes. The size of energy consumption is related to the distance between nodes and the amount of data transmitted. In view of these two directions, there has been a lot of related research work. Among them, the WSN clustering routing protocol represented by Leach protocol and the data fusion algorithm based on representative are more important. These protocols and algorithms provide an important way to solve the problem of WSN energy consumption. However, both protocols have defects in reducing network energy consumption. This paper mainly describes these defects and the direction of improvement. The main work of this paper includes: 1. First of all, aiming at the defects of Leach protocol: random election of cluster head, single hop transmission of nodes and non-upload of isolated node information, a LEACH-B routing protocol combining Leach protocol and Birch algorithm is proposed. The size of WSN clusters is constrained by the radius of clusters and the number of sub-nodes in the Birch algorithm. At the same time, the nodes with the largest residual energy are selected as cluster heads each time to ensure the stability of the network; isolated nodes are clustered separately and the collected information needs to be uploaded separately to ensure the integrity of the information collected in the network; the multi-hop cooperative communication is adopted among the nodes. Reduced transmission energy consumption. Finally, the goal of reducing network transmission energy consumption and effectively prolonging network life cycle is achieved. Secondly, aiming at the problem that the former representative data fusion methods are not representative in selecting representative nodes, a PCCDNCD data fusion algorithm is proposed in this paper. In the PCCDNCD algorithm, the correlation of nodes is measured by the Pearson correlation coefficient of data collected by nodes, the physical position of nodes and the number of neighbor nodes, which improves the accuracy of node correlation. Then, according to the correlation degree, the nodes are classified as: sink node, common node and isolated node. Different nodes choose different modes of transmission, transmit or do not transmit data. The experimental and simulation results show that the fusion accuracy of the fusion data of the PCCDNCD algorithm is higher than that of the DDCD and PCC algorithms, and the residual energy of the network can be improved greatly compared with the DDCD and PCC algorithms. PCCDNCD algorithm can effectively extend the lifetime of the network. A wireless sensor network energy consumption optimization system (EOSS) is designed and implemented in this paper. Based on the background of forest fire prevention early warning, the combination of LEACH-B and PCCDNCD algorithm is considered to be applied to forest fire prevention early warning system. The program code is burned to 100 nodes, and the nodes are deployed in the 100m area. The temperature data collected by the node and the residual energy status of the node are monitored by the base station. By comparing the residual energy of the node under normal circumstances with the residual energy of the EOS proposed in this paper, the experimental results show that, The proposed EOS system can effectively promote network balance and reduce network energy consumption.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP212.9;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉帥;李正煒;吳元昊;王斌;楊永健;;基于能耗梯度的無線傳感器網(wǎng)絡(luò)路由算法[J];傳感技術(shù)學(xué)報(bào);2016年08期

2 袁飛;詹宜巨;王永華;;無線傳感器網(wǎng)絡(luò)中數(shù)據(jù)密度相關(guān)度融合算法[J];控制理論與應(yīng)用;2014年11期

3 邱立達(dá);劉天鍵;林南;黃章超;;基于深度學(xué)習(xí)模型的無線傳感器網(wǎng)絡(luò)數(shù)據(jù)融合算法[J];傳感技術(shù)學(xué)報(bào);2014年12期

4 張品;董為浩;高大冬;;一種優(yōu)化的貝葉斯估計(jì)多傳感器數(shù)據(jù)融合方法[J];傳感技術(shù)學(xué)報(bào);2014年05期

5 楊永健;劉帥;;基于SOFM神經(jīng)網(wǎng)絡(luò)的無線傳感器網(wǎng)絡(luò)數(shù)據(jù)融合算法[J];傳感技術(shù)學(xué)報(bào);2013年12期

6 陳曉娟;王卓;吳潔;;一種基于LEACH的改進(jìn)WSN路由算法[J];傳感技術(shù)學(xué)報(bào);2013年01期

7 錢志鴻;王義君;;面向物聯(lián)網(wǎng)的無線傳感器網(wǎng)絡(luò)綜述[J];電子與信息學(xué)報(bào);2013年01期

8 Md Nafees Rahman;M A Matin;;Efficient Algorithm for Prolonging Network Lifetime of Wireless Sensor Networks[J];Tsinghua Science and Technology;2011年06期

9 孫凌逸;黃先祥;蔡偉;夏梅尼;;基于神經(jīng)網(wǎng)絡(luò)的無線傳感器網(wǎng)絡(luò)數(shù)據(jù)融合算法[J];傳感技術(shù)學(xué)報(bào);2011年01期

10 李田;史浩山;楊俊剛;;無線傳感器網(wǎng)絡(luò)LEACH協(xié)議成簇算法研究[J];傳感技術(shù)學(xué)報(bào);2010年08期

相關(guān)博士學(xué)位論文 前7條

1 甄成方;無線傳感器網(wǎng)絡(luò)聲目標(biāo)定位中能耗控制技術(shù)研究[D];中北大學(xué);2016年

2 張婧;無線傳感器網(wǎng)絡(luò)能耗平衡策略研究[D];吉林大學(xué);2015年

3 尹湘源;無線傳感器網(wǎng)絡(luò)低能耗分簇路由算法關(guān)鍵技術(shù)研究[D];華東理工大學(xué);2014年

4 郭新;無線傳感器網(wǎng)絡(luò)路由協(xié)議及數(shù)據(jù)融合技術(shù)研究[D];華南理工大學(xué);2013年

5 劉青文;基于協(xié)同過濾的推薦算法研究[D];中國科學(xué)技術(shù)大學(xué);2013年

6 黃曉;無線傳感器網(wǎng)絡(luò)應(yīng)用若干關(guān)鍵問題研究[D];南京郵電大學(xué);2011年

7 汪祥莉;無線傳感器網(wǎng)絡(luò)中高能效路由技術(shù)的研究[D];武漢理工大學(xué);2011年

相關(guān)碩士學(xué)位論文 前10條

1 王白婷;能量有效的無線傳感網(wǎng)分簇路由協(xié)議研究[D];吉林大學(xué);2016年

2 高琪;無線傳感器網(wǎng)絡(luò)中數(shù)據(jù)融合技術(shù)研究[D];西北師范大學(xué);2015年

3 陳小婭;基于K-means聚類的LEACH協(xié)議的改進(jìn)研究[D];廈門大學(xué);2014年

4 唐甲東;無線傳感器網(wǎng)絡(luò)路由協(xié)議研究-LEACH路由協(xié)議的改進(jìn)[D];江南大學(xué);2013年

5 劉昊;無線傳感器網(wǎng)絡(luò)中基于相關(guān)性的數(shù)據(jù)融合技術(shù)研究[D];河北工程大學(xué);2013年

6 付向全;基于分層算法的無線傳感器網(wǎng)絡(luò)MAC協(xié)議研究[D];太原科技大學(xué);2013年

7 趙亞光;基于蟻群算法和BP神經(jīng)網(wǎng)絡(luò)的WSN數(shù)據(jù)融合算法研究[D];云南大學(xué);2013年

8 賈云杰;基于LEACH的無線傳感器網(wǎng)絡(luò)分簇路由算法的研究與改進(jìn)[D];華中師范大學(xué);2013年

9 安文娟;基于聚類算法的實(shí)時(shí)IP流量識(shí)別技術(shù)研究[D];北京郵電大學(xué);2013年

10 宋揚(yáng);大規(guī)模無線傳感器網(wǎng)絡(luò)自適應(yīng)節(jié)能路由算法[D];重慶大學(xué);2012年

，

本文編號(hào)：2118634