本文選題：移動多跳綠色網(wǎng)絡(luò)　切入點：能效優(yōu)化　出處：《東北大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：移動多跳綠色網(wǎng)絡(luò)是計算機網(wǎng)絡(luò)和移動通信結(jié)合而產(chǎn)生的新型網(wǎng)絡(luò),其無需任何基礎(chǔ)設(shè)施就可以實現(xiàn)通信,由于其具有移動性、高傳輸速率、易于擴展性等優(yōu)點,因此移動多跳綠色網(wǎng)絡(luò)具有非常廣泛且樂觀的應(yīng)用前景。然而,目前移動多跳綠色網(wǎng)絡(luò)中的節(jié)點只能利用攜帶電池作為其能量來源,一旦電池耗電完畢,節(jié)點就無法正常工作。近年來,我國都在踐行可持續(xù)發(fā)展策略,為此節(jié)能減排已成為通信行業(yè)研究的焦點和熱點。并且隨著互聯(lián)網(wǎng)的飛速發(fā)展,使得現(xiàn)階段無線網(wǎng)絡(luò)流量呈現(xiàn)出了動態(tài)性、波動性、時變性、隨機性、突發(fā)性和分形特性等特點。因此,研究基于流量感知的動態(tài)自適應(yīng)協(xié)同能效優(yōu)化策略具有非常重要的戰(zhàn)略意義和研究價值。本文的主要工作如下：首先,本文研究了基于鏈路流量感知的自適應(yīng)協(xié)同能效優(yōu)化策略,建立了鏈路級的能效優(yōu)化機制。由于鏈路網(wǎng)絡(luò)流量具有自相似性、長相關(guān)性、突發(fā)性和分形特性等特性,本文首先基于多時間序列分析理論,構(gòu)建了移動多跳網(wǎng)絡(luò)的鏈路級流量感知模型；同時根據(jù)該流量感知模型和節(jié)點的位置信息,通過減少高能耗的節(jié)點選取,本文提出了基于鏈路流量感知的最大能效單播路由算法(LTMUR),建立了源到目的節(jié)點間的能效最大路徑；本文由提出了利用修改ACK響應(yīng)幀的方法,構(gòu)建了鏈路自適應(yīng)協(xié)同休眠算法(LACS);同時利用SNR能夠反映信道狀態(tài),本文提出了基于接收端的SNR的鏈路速率自適應(yīng)調(diào)整算法(LRAA)。本文,通過這一系列的能效優(yōu)化機制,降低了網(wǎng)絡(luò)能耗,提高了網(wǎng)絡(luò)能效,達到了鏈路級的能效優(yōu)化的目的。然后,本文研究了基于端到端流量感知的自適應(yīng)協(xié)同能效優(yōu)化策略,建立了網(wǎng)絡(luò)級的能效優(yōu)化機制。本文首先通過逐級配對的方法建立了多個源節(jié)點到目的節(jié)點間的能耗最小路徑,建立了多源單目的能耗最小路由算法(MMSR);然后,基于流量矩陣的概念,同時結(jié)合端到端網(wǎng)絡(luò)流量的特性,本文基于壓縮感知理論構(gòu)建了端到端流量感知模型；同時,本文通過數(shù)據(jù)特征信息提取的方法,將待傳輸數(shù)據(jù)流量進行有效地壓縮,構(gòu)建了基于端到端流量感知的數(shù)據(jù)融合機制算法(ETDFM)。本文,通過這一系列的有效節(jié)能機制,降低了網(wǎng)絡(luò)能耗,提高網(wǎng)絡(luò)能效,達到了網(wǎng)絡(luò)級的能效優(yōu)化的目的。通過仿真實驗比較分析,本文提出的兩個算法在降低網(wǎng)絡(luò)能耗,提高網(wǎng)絡(luò)能效方面均體現(xiàn)出了其優(yōu)越性。
[Abstract]:Mobile multi-hop green network is a new type of network produced by the combination of computer network and mobile communication. It can realize communication without any infrastructure. Because of its advantages of mobility, high transmission rate, easy expansibility and so on, mobile multi-hop green network can realize communication without any infrastructure. Therefore, mobile multi-hop green network has a very broad and optimistic application prospect. However, at present, the nodes in mobile multi-hop green network can only use the carrying battery as their energy source. In recent years, our country is practicing the strategy of sustainable development, so energy saving and emission reduction has become the focus and hotspot of the communication industry. And with the rapid development of the Internet, This makes the wireless network traffic present dynamic, fluctuating, time-varying, random, sudden and fractal characteristics. The research of dynamic adaptive cooperative energy efficiency optimization strategy based on traffic awareness has very important strategic significance and research value. The main work of this paper is as follows: first, In this paper, the adaptive cooperative energy efficiency optimization strategy based on link traffic perception is studied, and a link level energy efficiency optimization mechanism is established. Firstly, based on the theory of multi-time series analysis, the link level traffic perception model of mobile multi-hop network is constructed. According to the traffic perception model and node location information, the node selection with high energy consumption is reduced. In this paper, the maximum energy efficiency unicast routing algorithm based on link traffic awareness is proposed, and the maximum energy efficiency path between source and destination node is established. The link adaptive cooperative sleep algorithm is constructed, and the channel state can be reflected by using SNR. In this paper, a link rate adaptive adjustment algorithm based on receiver SNR is proposed. It reduces the network energy consumption, improves the network energy efficiency, and achieves the goal of link level energy efficiency optimization. Then, this paper studies the adaptive cooperative energy efficiency optimization strategy based on end-to-end traffic perception. The energy efficiency optimization mechanism at network level is established. Firstly, the minimum path of energy consumption between multiple source nodes and destination nodes is established by stepwise pairing method, and the minimum energy consumption routing algorithm of multi-source, single-purpose energy consumption is established. Based on the concept of traffic matrix and the characteristics of end-to-end network traffic, this paper constructs an end-to-end traffic perception model based on the theory of compression perception. The data flow to be transmitted is compressed effectively, and an algorithm of data fusion based on end-to-end traffic perception is constructed. In this paper, through this series of effective energy-saving mechanisms, the network energy consumption is reduced, and the network energy efficiency is improved. Through the comparison and analysis of simulation experiments, the two algorithms presented in this paper have shown their advantages in reducing network energy consumption and improving network energy efficiency.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.01;TN929.5

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