本文選題：物聯(lián)網(wǎng) + 無線傳感器��； 參考：《浙江工商大學(xué)》2017年碩士論文

【摘要】：物聯(lián)網(wǎng)的快速發(fā)展,為現(xiàn)代社會提供了以萬物互聯(lián)為基礎(chǔ)的巨大信息交互平臺,是互聯(lián)網(wǎng)時代信息獲取和共享的更進一步的發(fā)展。而無線通信的高速發(fā)展,為物聯(lián)網(wǎng)實現(xiàn)更大規(guī)模的信息感知、隨時隨地的信息交互提供了支撐,相比于有線通信模式下的網(wǎng)絡(luò),無線通信支撐下的物聯(lián)網(wǎng)真正使得萬物互聯(lián)迅速的走進了人們的生活,滲透到每一個人生活的方方面面,滲透到每一個人日常行為的隨時隨地。然而,無線模式下的物聯(lián)網(wǎng)運作模式在享受靈活性、移動性等巨大好處的同時,也受到有限能量的嚴(yán)重制約。無線傳感器或者是無線手持終端等物聯(lián)網(wǎng)中普遍使用的設(shè)備都遇到電池能量這個瓶頸問題。所以,物聯(lián)網(wǎng)中無線設(shè)備的能量使用效率問題成了當(dāng)前研究的一個熱點,具有很強的現(xiàn)實意義。本文針對物聯(lián)網(wǎng)中無線設(shè)備的能效優(yōu)化問題展開研究。重點在于對分布式系統(tǒng)的能量效率進行系統(tǒng)級的整體優(yōu)化。主要研究內(nèi)容如下:第一,針對物聯(lián)網(wǎng)中各個用戶為了提高能量效率需要科學(xué)選擇無線通信頻率信道的問題,本文提出了基于博弈論的能量優(yōu)化數(shù)學(xué)模型,設(shè)計了利于系統(tǒng)能量效率優(yōu)化的效用函數(shù),證明了所提出的博弈模型是精確勢能博弈,博弈模型的最佳均衡狀態(tài)就是系統(tǒng)能量效率最優(yōu)狀態(tài)。然后提出了相對應(yīng)的學(xué)習(xí)算法,使得系統(tǒng)經(jīng)過一定步驟的學(xué)習(xí)迭代,實現(xiàn)了理論分析中的最佳均衡狀態(tài),獲得了系統(tǒng)能量效率最優(yōu)的穩(wěn)定解,實現(xiàn)系統(tǒng)能量效率的全局最優(yōu)。第二,針對物聯(lián)網(wǎng)中無線傳感器節(jié)點信息需要選擇合適的骨干網(wǎng)接入點進行能效優(yōu)化的問題,本文首先建立了傳感器節(jié)點自由選擇接入點問題系統(tǒng)級能量優(yōu)化的數(shù)學(xué)模型,然后提出了基于合作概念的博弈模型和相應(yīng)的效用函數(shù),經(jīng)過理論分析,證明了最佳的接入點分配方案就是所提出的博弈的最佳均衡點。然后提出了非相關(guān)并行學(xué)習(xí)算法,根據(jù)該算法,系統(tǒng)可經(jīng)過學(xué)習(xí)以很高的概率收斂到最佳均衡點,也就是所提出系統(tǒng)能效優(yōu)化問題的最優(yōu)解,實現(xiàn)系統(tǒng)能量效率的全局最優(yōu)。
[Abstract]:The rapid development of the Internet of things provides a huge information exchange platform based on the interconnection of all things for the modern society. It is a further development of information acquisition and sharing in the Internet era. The rapid development of wireless communication provides a support for the Internet of things to realize a larger scale of information perception, anytime and anywhere information interaction, compared with the wired communication mode of the network, The Internet of things supported by wireless communication really makes everything interconnect into people's life quickly, permeate every aspect of people's life, permeate every person's daily behavior anytime and anywhere. However, the Internet of things operating mode in wireless mode, while enjoying the great benefits of flexibility and mobility, is also severely restricted by limited energy. Wireless sensors or devices commonly used in the Internet of things, such as wireless handheld terminals, encounter the bottleneck of battery power. Therefore, the energy efficiency of wireless devices in the Internet of things has become a hot topic, which has a strong practical significance. In this paper, the energy efficiency optimization of wireless devices in the Internet of things is studied. The emphasis is on the overall optimization of the energy efficiency of distributed systems at the system level. The main research contents are as follows: first, in order to improve the energy efficiency of the Internet of things, every user needs to choose the wireless communication frequency channel scientifically, this paper proposes a mathematical model of energy optimization based on game theory. The utility function is designed to optimize the energy efficiency of the system. It is proved that the proposed game model is an exact potential energy game, and the best equilibrium state of the game model is the optimal state of the system energy efficiency. Then a corresponding learning algorithm is proposed, which makes the system achieve the best equilibrium state in the theoretical analysis after a certain step of learning iteration, obtain the optimal stable solution of the energy efficiency of the system, and realize the global optimal energy efficiency of the system. Secondly, aiming at the problem that the wireless sensor node information needs to select the appropriate backbone network access point for energy efficiency optimization in the Internet of things, this paper first establishes the mathematical model of the system level energy optimization of the sensor node freely selecting the access point. Then the game model based on the concept of cooperation and the corresponding utility function are proposed. Through theoretical analysis, it is proved that the optimal access point allocation scheme is the best equilibrium point of the proposed game. According to this algorithm, the system can converge to the optimal equilibrium point with a high probability, that is, the optimal solution of the energy efficiency optimization problem, and realize the global optimization of the energy efficiency of the system.
【學(xué)位授予單位】：浙江工商大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.44;TN929.5

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相關(guān)期刊論文 前2條

1 林福宏;劉倩;周賢偉;陳月云;黃道超;;基于合作微分博弈的物聯(lián)網(wǎng)能量帶寬優(yōu)化模型（英文）[J];中國通信;2014年01期

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本文編號：1900595