【摘要】：無線傳感網(wǎng)絡(luò)是近些年來迅速發(fā)展起來且備受重視的一種新型的無線網(wǎng)絡(luò),無線傳感網(wǎng)絡(luò)具有成本低,體積小和自組織等特點(diǎn),通常將無線傳感網(wǎng)絡(luò)部署在條件比較惡劣的環(huán)境中,但由于傳感節(jié)點(diǎn)具有較差的通信性能和有限的傳輸功率的特點(diǎn),導(dǎo)致感知信息難以準(zhǔn)確可靠的傳回到匯聚節(jié)點(diǎn)或目的節(jié)點(diǎn)。在功率受限無線傳感網(wǎng)絡(luò)中,感知信息的快速傳輸和可靠的傳輸信息是兩個至關(guān)重要的目標(biāo)。然而,這兩個目標(biāo)又是相互矛盾的。通常,感知信息的快速傳輸在一定程度上會降低傳輸?shù)目煽啃?反之亦然,因此,感知信息傳輸速率和傳輸可靠性之間存在一個內(nèi)在的折中優(yōu)化的關(guān)系。從而在提高感知信息傳輸速率的同時,保證信息傳輸?shù)目煽啃猿蔀闊o線傳感網(wǎng)絡(luò)中一項(xiàng)具有重大意義的研究工作。本文在充分分析國內(nèi)外對無線傳感網(wǎng)絡(luò)的感知信息傳輸速率和傳輸可靠性研究現(xiàn)狀基礎(chǔ)上,研究了無線網(wǎng)絡(luò)數(shù)據(jù)傳輸速率和傳輸可靠性的協(xié)同優(yōu)化問題,主要研究內(nèi)容和創(chuàng)新工作包括:(1)提出了在無線傳感網(wǎng)絡(luò)環(huán)境下的可靠性感知的網(wǎng)絡(luò)效用最大化問題模型,即在目標(biāo)項(xiàng)中新引入了錯誤概率函數(shù)和折中參數(shù),通過調(diào)整折中參數(shù),從速率效用和可靠性效用兩方面折中優(yōu)化網(wǎng)絡(luò)性能。其次,運(yùn)用對偶分解和次梯度下降法,設(shè)計(jì)了擁塞控制、碼率控制和功率控制聯(lián)合的跨層優(yōu)化算法,實(shí)現(xiàn)速率效用和可靠性效用的協(xié)同跨層優(yōu)化。再次,分析證明了所提算法的收斂性;最后,通過仿真驗(yàn)證了所提出算法的有效性和可行性。(2)研究了干擾受限場景下的速率和傳輸可靠性的協(xié)同跨層優(yōu)化問題,在(1)的基礎(chǔ)上,通過引入干擾,解決基于有干擾下的問題模型,使其更加貼近于實(shí)際的網(wǎng)絡(luò)環(huán)境中的問題模型,同時,使問題模型的復(fù)雜度也有所增加。本章節(jié)通過WMMSE算法,經(jīng)過一系列轉(zhuǎn)化,將非凸問題轉(zhuǎn)變?yōu)橥箚栴},然后利用乘子方向交替(ADMM)算法,通過引入輔助變量將問題進(jìn)行分布式求解,同時將ADMM算法和對偶次梯度算法進(jìn)行比較,最終通過仿真驗(yàn)證了分布式算法的收斂性以及驗(yàn)證了ADMM算法的優(yōu)越性,并求出了基于有干擾的無線傳感網(wǎng)速率-可靠性問題的全局最優(yōu)解。(3)多輸入多輸出技術(shù)(MIMO)技術(shù)在數(shù)據(jù)傳輸可靠性和傳輸速率方面具有重要的研究意義,從而該研究點(diǎn)研究的是基于MIMO技術(shù)的數(shù)據(jù)傳輸速率和傳輸可靠性協(xié)同優(yōu)化問題。通過MIMO技術(shù)的分集增益和復(fù)用增益來進(jìn)行傳輸速率和可靠性的折中優(yōu)化,其實(shí)質(zhì)是對MIMO技術(shù)的分集增益和復(fù)用增益進(jìn)行折中優(yōu)化。在(2)的研究基礎(chǔ)上,通過使用近似雅可比ADMM算法將問題進(jìn)行分布式求解,通過仿真驗(yàn)證了隨著天線數(shù)量的變化對傳輸速率和傳輸可靠性的影響。
[Abstract]:Wireless sensor network (WSN) is a new type of wireless network, which has been developed rapidly in recent years. It has the characteristics of low cost, small size and self-organization. The wireless sensor network is usually deployed in a bad environment, but the sensor nodes have the characteristics of poor communication performance and limited transmission power, so it is difficult to accurately and reliably send the sensing information back to the convergence node or the destination node. In power constrained wireless sensor networks, the fast transmission of perceptual information and reliable transmission of information are two important objectives. However, the two goals are contradictory. Generally, the fast transmission of perceptual information reduces the reliability of transmission to a certain extent, and vice versa. Therefore, there is an inherent compromise between the rate of perceived information transmission and the reliability of transmission. Therefore, while improving the rate of information transmission, ensuring the reliability of information transmission has become a significant research work in wireless sensor networks. In this paper, based on the analysis of the current research status of perceived information transmission rate and transmission reliability of wireless sensor networks at home and abroad, the cooperative optimization of data transmission rate and transmission reliability in wireless networks is studied. The main research contents and innovations are as follows: (1) the model of network utility maximization for reliability perception in wireless sensor network environment is proposed, that is, the error probability function and compromise parameter are introduced into the target term, and the compromise parameters are adjusted. The network performance is optimized from two aspects: rate utility and reliability utility. Secondly, using duality decomposition and subgradient descent, a cross-layer optimization algorithm of congestion control, bit-rate control and power control is designed to realize the collaborative cross-layer optimization of rate utility and reliability utility. Thirdly, the convergence of the proposed algorithm is proved by the analysis. Finally, the effectiveness and feasibility of the proposed algorithm are verified by simulation. (2) the collaborative cross-layer optimization problem of the rate and transmission reliability in the interference constrained scenario is studied. On the basis of (1), By introducing interference, the problem model based on interference is solved, which is closer to the problem model in the actual network environment. At the same time, the complexity of the problem model is also increased. In this chapter, the non-convex problem is transformed into a convex problem through a series of transformations by WMMSE algorithm, and then the problem is solved distributed by introducing auxiliary variables by using the (ADMM) algorithm in the direction of the multiplier. At the same time, the convergence of the distributed algorithm and the superiority of the ADMM algorithm are verified by comparing the ADMM algorithm with the dual subgradient algorithm. The global optimal solution of rate-reliability problem in wireless sensor networks with interference is obtained. (3) Multi-input and multi-output (MIMO) technology is of great significance in data transmission reliability and transmission rate. Therefore, the research point is the cooperative optimization of data transmission rate and transmission reliability based on MIMO technology. The tradeoff between transmission rate and reliability is achieved by using diversity gain and multiplexing gain of MIMO technology, which is essentially a compromise between diversity gain and multiplexing gain of MIMO technology. Based on the research of (2), the problem is solved distributed by using approximate Jacobian ADMM algorithm, and the effect of antenna number on transmission rate and transmission reliability is verified by simulation.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP212.9;TN929.5

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