本文選題：無(wú)線多媒體傳感器網(wǎng)絡(luò)　切入點(diǎn)：視頻流數(shù)據(jù)　出處：《中國(guó)礦業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：無(wú)線傳感器網(wǎng)絡(luò)是目前熱點(diǎn)研究領(lǐng)域。其中,由視覺(jué)傳感器節(jié)點(diǎn)組成的無(wú)線多媒體傳感器網(wǎng)絡(luò)能夠?qū)崿F(xiàn)視頻流的傳輸,在視頻監(jiān)控、環(huán)境監(jiān)測(cè)、多媒體信息等領(lǐng)域有著廣泛的應(yīng)用。相比于傳統(tǒng)的無(wú)線傳感器網(wǎng)絡(luò),視頻流數(shù)據(jù)具有數(shù)據(jù)量大、業(yè)務(wù)種類豐富、傳輸可靠等高要求。因此,對(duì)資源受限的無(wú)線多媒體傳感器網(wǎng)絡(luò),研究保障視頻流服務(wù)質(zhì)量的方法是一個(gè)亟待解決的問(wèn)題。為此,本文從路由算法和數(shù)據(jù)傳輸兩個(gè)方面進(jìn)行了嘗試研究,主要內(nèi)容如下:(1)針對(duì)無(wú)線多媒體傳感器網(wǎng)絡(luò)中的視頻流傳輸需要提供多參數(shù)Qo S保障問(wèn)題,本文提出一種基于蟻群優(yōu)化的多路徑Qo S路由算法AMRQR(ant-colony based multi-path Qo S routing)。算法綜合考慮了網(wǎng)絡(luò)的帶寬、平均時(shí)延、丟包率等Qo S參數(shù),將節(jié)點(diǎn)平均剩余能量作為路由選擇的影響因素,對(duì)網(wǎng)絡(luò)節(jié)點(diǎn)剩余能量進(jìn)行分級(jí),根據(jù)節(jié)點(diǎn)剩余能量等級(jí)動(dòng)態(tài)調(diào)整能耗權(quán)重因子。同時(shí),為了避免單路徑傳輸所導(dǎo)致的網(wǎng)絡(luò)負(fù)載不均衡,采用多路徑傳輸?shù)姆绞�。仿真結(jié)果表明該算法在滿足Qo S參數(shù)約束條件下,能夠均衡網(wǎng)絡(luò)能量,提高網(wǎng)絡(luò)傳輸?shù)膶?shí)時(shí)性和可靠性。(2)針對(duì)無(wú)線傳感器節(jié)點(diǎn)存儲(chǔ)轉(zhuǎn)發(fā)能力有限的問(wèn)題,本文對(duì)無(wú)線多媒體傳感器網(wǎng)絡(luò)中視頻監(jiān)控圖像序列進(jìn)行研究。根據(jù)視頻監(jiān)控特點(diǎn),利用改進(jìn)的背景幀差分算法,對(duì)視頻幀中的目標(biāo)區(qū)域進(jìn)行定位,僅傳輸目標(biāo)區(qū)域。通過(guò)周期性的建立視頻幀背景模型,對(duì)視頻幀與背景幀進(jìn)行幀間差分操作,根據(jù)兩幀的差值大小,對(duì)傳輸?shù)囊曨l幀數(shù)據(jù)進(jìn)行分級(jí),進(jìn)而根據(jù)不同等級(jí)選取相應(yīng)的傳輸策略。實(shí)驗(yàn)結(jié)果表明,在保證傳輸圖像質(zhì)量的前提下,該方法能夠有效的減少視頻流數(shù)據(jù)傳輸量,大大降低傳輸能耗,均衡網(wǎng)絡(luò)能量,延長(zhǎng)網(wǎng)絡(luò)生命周期。
[Abstract]:Wireless sensor network is a hot research field at present. Among them, wireless multimedia sensor network is composed of visual sensor nodes can realize video transmission in video surveillance, environmental monitoring, multimedia information, is widely used in many fields. Compared to the traditional wireless sensor network, streaming video data with a large amount of data, the type of business rich, reliable transmission of high requirements. Therefore, wireless multimedia sensor networks of limited resources, methods of security video streaming service quality is an urgent problem to be solved. Therefore, we try to study from the two aspects of routing and data transmission, the main contents are as follows: (1) for wireless multimedia sensor networks in the video stream transmission need to provide multi parameter Qo S security problem, this paper proposes a AMRQR Qo multi path routing algorithm based on ant colony optimization S (ant-colony Ba Sed multi-path Qo S routing) algorithm. Considering the network bandwidth, delay, packet loss rate Qo S parameters, the average node residual energy as the factors influencing the routing and classification of network node residual energy, according to the node residual energy level dynamic adjustment of energy weight factor. At the same time, in order to avoid the single path transmission the network load is not balanced, the multi path transmission mode. The simulation results show that the algorithm meets the Qo S constraints, can balance the network energy, improve the real-time and reliability of network transmission. (2) for wireless sensor nodes store and forward problem of limited ability, this paper focuses on the research of wireless video multimedia sensor network monitoring. According to the characteristics of video surveillance image sequences, using the background frame difference algorithm is improved, the localization of the target area in the video frame, only. Lose the target area. Through the establishment of the video background model for periodic, inter frame differential operation of video frame and background frame, according to the difference between the size of two frames, video frame on the transmission of data, and then select the corresponding strategies according to different levels of transmission. The experimental results indicate that under the premise of ensuring the quality of image transmission next, the method can reduce the amount of data transmission of video stream effectively, greatly reduce the transmission energy consumption, balance the network energy and prolong the network life cycle.

【學(xué)位授予單位】：中國(guó)礦業(yè)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 何建新;賈麗媛;;無(wú)線多媒體傳感器網(wǎng)絡(luò)視頻流區(qū)分服務(wù)多徑Qos路由算法[J];計(jì)算技術(shù)與自動(dòng)化;2016年01期

2 張從鵬;魏學(xué)光;;基于Harris角點(diǎn)的矩形檢測(cè)[J];光學(xué)精密工程;2014年08期

3 楊冰;鄧曙光;文雙春;;無(wú)線多媒體傳感器網(wǎng)絡(luò)能量均衡的QoS路由算法[J];傳感器與微系統(tǒng);2014年04期

4 曹磊;韓濤;張婧;沈航;白光偉;;無(wú)線多媒體傳感器網(wǎng)絡(luò)擁塞感知的流控制機(jī)制[J];南京大學(xué)學(xué)報(bào)(自然科學(xué));2014年02期

5 馮月華;陳州吉;;基于群體智能的蟻群算法原理及應(yīng)用研究[J];蘭州文理學(xué)院學(xué)報(bào)(自然科學(xué)版);2014年02期

6 周方;李臘元;高鵬翔;;一種基于能量感知的高效QoS路由協(xié)議EEQRP[J];武漢理工大學(xué)學(xué)報(bào);2013年07期

7 高超;胡曉婭;汪秉文;高洪亮;;一種應(yīng)用于數(shù)據(jù)為中心存儲(chǔ)無(wú)線傳感器網(wǎng)絡(luò)的低功耗路由算法[J];小型微型計(jì)算機(jī)系統(tǒng);2013年07期

8 卓力;張菁;趙，

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