基于马尔科夫链的水下移动网络可靠性研究

水下移动通信网络随着水下通信和传感器技术的发展，其应用越来越广泛，其可靠性研究是信息传输效率和质量的重要保证。本文比较了传统通信可靠性研究方法，提出了一种计算水下移动节点网络可靠性的方法——基于马尔可夫模型的水下移动通信可靠性计算方法。该方法把网络状态进行简化归类，利用马尔可夫理论建模，计算求出网络稳定状态的概率，通过与通信网络某一指标的可靠性概率矩阵相乘，求出量化的可靠性。经过验证，该方法大大降低了建模的复杂程度，可以求出移动节点网络的可靠性，简化了运算。

Computing Reliability of Underwater Mobile Communication Network Based on Markov Chain Theory

With the development of underwater communication and sensor technology, the underwater mobile communication network has been widely applied. Its reliability refers to the efficiency and quality of the information transmission. This paper proposes a method for computing the reliability of the underwater mobile communication network based on Markov chain model. In this method, the states of the underwater mobile communication network are simplified and classified to get the probability matrix of the network＇s stable state via modeling with Markov chain theory. Quantitative reliability is hence obtained through multiplying the probability matrix of a communication index＇s reliability. Verification indicates that this method significantly reduces complexity of modeling, and can compute reliability of underwater mobile communication network with simplified operation.