本文選題：無線多媒體傳感器網絡　切入點：視頻流數(shù)據(jù)　出處：《中國礦業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：無線傳感器網絡是目前熱點研究領域。其中,由視覺傳感器節(jié)點組成的無線多媒體傳感器網絡能夠實現(xiàn)視頻流的傳輸,在視頻監(jiān)控、環(huán)境監(jiān)測、多媒體信息等領域有著廣泛的應用。相比于傳統(tǒng)的無線傳感器網絡,視頻流數(shù)據(jù)具有數(shù)據(jù)量大、業(yè)務種類豐富、傳輸可靠等高要求。因此,對資源受限的無線多媒體傳感器網絡,研究保障視頻流服務質量的方法是一個亟待解決的問題。為此,本文從路由算法和數(shù)據(jù)傳輸兩個方面進行了嘗試研究,主要內容如下:(1)針對無線多媒體傳感器網絡中的視頻流傳輸需要提供多參數(shù)Qo S保障問題,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)。算法綜合考慮了網絡的帶寬、平均時延、丟包率等Qo S參數(shù),將節(jié)點平均剩余能量作為路由選擇的影響因素,對網絡節(jié)點剩余能量進行分級,根據(jù)節(jié)點剩余能量等級動態(tài)調整能耗權重因子。同時,為了避免單路徑傳輸所導致的網絡負載不均衡,采用多路徑傳輸?shù)姆绞�。仿真結果表明該算法在滿足Qo S參數(shù)約束條件下,能夠均衡網絡能量,提高網絡傳輸?shù)膶崟r性和可靠性。(2)針對無線傳感器節(jié)點存儲轉發(fā)能力有限的問題,本文對無線多媒體傳感器網絡中視頻監(jiān)控圖像序列進行研究。根據(jù)視頻監(jiān)控特點,利用改進的背景幀差分算法,對視頻幀中的目標區(qū)域進行定位,僅傳輸目標區(qū)域。通過周期性的建立視頻幀背景模型,對視頻幀與背景幀進行幀間差分操作,根據(jù)兩幀的差值大小,對傳輸?shù)囊曨l幀數(shù)據(jù)進行分級,進而根據(jù)不同等級選取相應的傳輸策略。實驗結果表明,在保證傳輸圖像質量的前提下,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,均衡網絡能量,延長網絡生命周期。
[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.

【學位授予單位】：中國礦業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TN929.5

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