水下无线传感器网络协作通信技术研究
发布时间：2018-11-25 22:12
【摘要】：水下无线传感器网络随着其在海洋数据收集、地质灾害监测、军事安全等方面的应用而愈发受到重视。水下环境复杂多变,信道条件恶劣,为了有效对抗信道衰落并提高通信系统容量,在水下无线传感器网络中应用协作通信技术十分有必要。在协作通信系统中有两个关键问题需要解决,一是中继节点的选择,二是功率的分配,本文主要针对这两个问题进行研究。本文基于长延时特性提出一种新的适于在水下环境中应用的最佳中继节点选择标准,即综合考虑信道条件和传输延时两个因素,构建综合评价指标来评估中继节点的优劣,从中选出最佳中继节点,之后基于信道条件进行功率分配。本文还研究了基于博弈论的协作通信系统,参照Stackelberg博弈理论,设定源节点为买家,中继节点为卖家,双方需要通过博弈过程决定中继节点的功率价格和源节点从中继节点处购买多少功率。本文对源节点和中继节点构建效用函数,以效用函数最大化为原则,求解最佳中继节点功率值和最佳中继节点功率价格。本文利用Matlab工具进行仿真,结果显示,基于综合标准的中继节点选择方法能选出综合性能最好的节点,本文的功率分配算法与等功率分配相比可有效降低误比特率,提高网络整体性能,而基于博弈论的协作通信也具有可行性。总体来说,算法性能达到了预期要求。
[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.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.3;TP212.9
本文编号：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.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.3;TP212.9
【引证文献】
相关硕士学位论文 前1条
1 王贝;基于博弈论的水下传感器网络功率分配算法研究[D];燕山大学;2017年
，本文编号：2357517
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