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基于凸優(yōu)化的無線體域網(wǎng)能效分析

發(fā)布時間:2018-03-18 06:10

  本文選題:無線體域網(wǎng) 切入點:自動請求重傳 出處:《煙臺大學(xué)》2017年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著當(dāng)代科技進(jìn)步和社會發(fā)展,人們的醫(yī)療健康顯得尤為重要,作為醫(yī)療健康監(jiān)護(hù)的一種重要應(yīng)用,無線體域網(wǎng)不僅可以服務(wù)于人們的健康,還可以緩解現(xiàn)今醫(yī)院擁擠無法及時診療的問題,這就促使無線體域網(wǎng)擁有較大的研究意義和發(fā)展空間。無線體域網(wǎng)是以人體為中心,由依附在人體上的傳感器節(jié)點和控制節(jié)點構(gòu)成,其中傳感器節(jié)點用于采集各種相關(guān)的生理信號。由于附著在人體上的各傳感器節(jié)點所處環(huán)境的復(fù)雜性,使得無線體域網(wǎng)傳輸?shù)目煽啃院湍苄艿礁鞣N因素的制約,因此關(guān)于無線體域網(wǎng)的能效優(yōu)化成為亟待解決的關(guān)鍵問題。本文將主要圍繞能量受限的無線體域網(wǎng)展開討論,在ARQ、FEC差錯控制技術(shù)應(yīng)用于無線體域網(wǎng)的研究基礎(chǔ)上,依據(jù)能效的定義從能效優(yōu)化的角度出發(fā),對WBAN能效的數(shù)學(xué)模型進(jìn)行求解,實現(xiàn)資源的優(yōu)化分配。本文進(jìn)行的主要工作如下:第一,對WBAN的網(wǎng)絡(luò)結(jié)構(gòu)和系統(tǒng)模型進(jìn)行分析,依據(jù)差錯控制技術(shù)對無線體域網(wǎng)的重要意義,對該領(lǐng)域的相關(guān)國內(nèi)外文獻(xiàn)做出總結(jié)。對凸優(yōu)化理論和CVX求解工具進(jìn)行了分析,對凸優(yōu)化中的幾何規(guī)劃問題等凸優(yōu)化理論進(jìn)行繼續(xù)研究,并歸納總結(jié)了幾種求解凸優(yōu)化問題的典型方法。第二,分析關(guān)于兩種差錯控制技術(shù),一種是自動請求重傳(ARQ)技術(shù),另一種是前向糾錯(FEC)技術(shù),研究在WBAN傳輸數(shù)據(jù)過程中,基于ARQ和FEC技術(shù)的網(wǎng)絡(luò)能效。結(jié)合WBAN中兩種獨立的差錯技術(shù)相應(yīng)的數(shù)學(xué)能效模型,分析是否為凸優(yōu)化問題或是否可以轉(zhuǎn)換為凸優(yōu)化問題,如果為凸優(yōu)化問題則該數(shù)學(xué)模型存在最優(yōu)解,可以使能效達(dá)到最優(yōu)。第三,在不同差錯控制技術(shù)下,分析數(shù)據(jù)包長、通信距離、信噪比等參數(shù)對能效的影響,利用凸優(yōu)化理論及求解方法,仿真得出各差錯控制技術(shù)下能效最優(yōu)點,實現(xiàn)資源的優(yōu)化分配。分別在ARQ和FEC兩種技術(shù)下改變信噪比和通信距離,分析研究能否實現(xiàn)差錯控制的自適應(yīng)。
[Abstract]:With the progress of modern science and technology and social development, people's medical health is particularly important. As an important application of medical and health monitoring, wireless body area network can not only serve people's health. It can also alleviate the problem that hospital congestion can not be diagnosed and treated in time, which makes wireless body area network have great research significance and development space. Wireless body area network is centered on human body. The sensor nodes are composed of sensor nodes attached to the human body and control nodes, in which sensor nodes are used to collect various related physiological signals. Due to the complexity of the environment of each sensor node attached to the human body, The reliability and energy efficiency of wireless body area network transmission will be restricted by various factors. Therefore, the optimization of wireless body area network energy efficiency becomes a key problem to be solved. On the basis of the application of ARQFEC error control technology to wireless body area network, according to the definition of energy efficiency, the mathematical model of WBAN energy efficiency is solved from the point of view of energy efficiency optimization. The main work of this paper is as follows: first, the network structure and system model of WBAN are analyzed, and the significance of error control technology to wireless body area network is discussed. The convex optimization theory and CVX solution tool are analyzed, and the convex optimization theory such as geometric programming in convex optimization is studied. Several typical methods for solving convex optimization problems are summarized. Secondly, two kinds of error control techniques are analyzed, one is automatic request retransmission (ARQ) technology, the other is forward error correction (FEC) technology. Network energy efficiency based on ARQ and FEC technology. Combined with the corresponding mathematical energy efficiency model of two independent error technologies in WBAN, this paper analyzes whether the problem is convex optimization problem or whether it can be converted into convex optimization problem. If it is a convex optimization problem, the mathematical model has an optimal solution, which can make the energy efficiency optimal. Thirdly, under different error control techniques, the effects of data packet length, communication distance, signal-to-noise ratio and other parameters on energy efficiency are analyzed. By using convex optimization theory and solution method, the optimal energy efficiency of each error control technology is obtained by simulation, and the optimal allocation of resources is realized. The signal-to-noise ratio (SNR) and communication distance are changed under ARQ and FEC, respectively. This paper analyzes whether the adaptive error control can be realized.
【學(xué)位授予單位】:煙臺大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN92;TP212.9

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 謝語天;王s,

本文編號:1628312


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