水下無線傳感器網(wǎng)絡(luò)協(xié)作通信技術(shù)研究
發(fā)布時間：2018-11-25 22:12
【摘要】：水下無線傳感器網(wǎng)絡(luò)隨著其在海洋數(shù)據(jù)收集、地質(zhì)災(zāi)害監(jiān)測、軍事安全等方面的應(yīng)用而愈發(fā)受到重視。水下環(huán)境復(fù)雜多變,信道條件惡劣,為了有效對抗信道衰落并提高通信系統(tǒng)容量,在水下無線傳感器網(wǎng)絡(luò)中應(yīng)用協(xié)作通信技術(shù)十分有必要。在協(xié)作通信系統(tǒng)中有兩個關(guān)鍵問題需要解決,一是中繼節(jié)點的選擇,二是功率的分配,本文主要針對這兩個問題進行研究。本文基于長延時特性提出一種新的適于在水下環(huán)境中應(yīng)用的最佳中繼節(jié)點選擇標準,即綜合考慮信道條件和傳輸延時兩個因素,構(gòu)建綜合評價指標來評估中繼節(jié)點的優(yōu)劣,從中選出最佳中繼節(jié)點,之后基于信道條件進行功率分配。本文還研究了基于博弈論的協(xié)作通信系統(tǒng),參照Stackelberg博弈理論,設(shè)定源節(jié)點為買家,中繼節(jié)點為賣家,雙方需要通過博弈過程決定中繼節(jié)點的功率價格和源節(jié)點從中繼節(jié)點處購買多少功率。本文對源節(jié)點和中繼節(jié)點構(gòu)建效用函數(shù),以效用函數(shù)最大化為原則,求解最佳中繼節(jié)點功率值和最佳中繼節(jié)點功率價格。本文利用Matlab工具進行仿真,結(jié)果顯示,基于綜合標準的中繼節(jié)點選擇方法能選出綜合性能最好的節(jié)點,本文的功率分配算法與等功率分配相比可有效降低誤比特率,提高網(wǎng)絡(luò)整體性能,而基于博弈論的協(xié)作通信也具有可行性�？傮w來說,算法性能達到了預(yù)期要求。
[Abstract]:Underwater wireless sensor networks (WSNs) have attracted more and more attention with their applications in marine data collection, geological hazard monitoring, military security and so on. The underwater environment is complex and changeable, and the channel condition is bad. In order to effectively resist channel fading and improve the capacity of communication system, it is necessary to apply cooperative communication technology in underwater wireless sensor networks. There are two key problems to be solved in cooperative communication systems, one is the selection of relay nodes, the other is power allocation. Based on the long delay characteristics, this paper presents a new optimal selection criterion for relay nodes in underwater environment, that is, considering the channel condition and transmission delay, a comprehensive evaluation index is constructed to evaluate the relay node. The best relay node is selected and then the power allocation is based on the channel condition. This paper also studies the cooperative communication system based on game theory. Referring to Stackelberg game theory, the source node is the buyer and the relay node is the seller. Both sides need to decide the power price of relay node and how much power the source node buys from the relay node through the game process. In this paper, the utility function is constructed for the source node and the relay node, and the optimal relay node power value and the optimal relay node power price are solved based on the principle of maximizing the utility function. The simulation results show that the relay node selection method based on the synthesis standard can select the node with the best comprehensive performance, and the power allocation algorithm in this paper can effectively reduce the bit error rate (BER) compared with the equal power allocation. The overall performance of the network is improved, and the cooperative communication based on game theory is also feasible. In general, the performance of the algorithm meets the expected requirements.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.3;TP212.9
本文編號：2357517
[Abstract]:Underwater wireless sensor networks (WSNs) have attracted more and more attention with their applications in marine data collection, geological hazard monitoring, military security and so on. The underwater environment is complex and changeable, and the channel condition is bad. In order to effectively resist channel fading and improve the capacity of communication system, it is necessary to apply cooperative communication technology in underwater wireless sensor networks. There are two key problems to be solved in cooperative communication systems, one is the selection of relay nodes, the other is power allocation. Based on the long delay characteristics, this paper presents a new optimal selection criterion for relay nodes in underwater environment, that is, considering the channel condition and transmission delay, a comprehensive evaluation index is constructed to evaluate the relay node. The best relay node is selected and then the power allocation is based on the channel condition. This paper also studies the cooperative communication system based on game theory. Referring to Stackelberg game theory, the source node is the buyer and the relay node is the seller. Both sides need to decide the power price of relay node and how much power the source node buys from the relay node through the game process. In this paper, the utility function is constructed for the source node and the relay node, and the optimal relay node power value and the optimal relay node power price are solved based on the principle of maximizing the utility function. The simulation results show that the relay node selection method based on the synthesis standard can select the node with the best comprehensive performance, and the power allocation algorithm in this paper can effectively reduce the bit error rate (BER) compared with the equal power allocation. The overall performance of the network is improved, and the cooperative communication based on game theory is also feasible. In general, the performance of the algorithm meets the expected requirements.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN929.3;TP212.9
【引證文獻】
相關(guān)碩士學(xué)位論文 前1條
1 王貝;基于博弈論的水下傳感器網(wǎng)絡(luò)功率分配算法研究[D];燕山大學(xué);2017年
，本文編號：2357517
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