基于隐马尔科夫模型的水声传感器位置稳定性模型研究

Research on Underwater Acoustic Sensors’ Location Stability Model Based on Hidden Markov Model

针对水声传感器网络因节点运动造成网络稳定性下降的问题,利用节点数据发射功率的变化过程,基于隐马尔科夫模型建立邻节点位置稳定性评估模型,使用Baum-Welch算法和Viterbi算法对模型进行求解,在数据转发时选择位置稳定的邻节点,提高分组投递率。仿真实验证明,基于隐马尔可夫模型改进的路由协议能够有效降低因节点运动导致的分组投递率下降问题,提高网络数据转发的性能。

Concerning the stability’s decline because of moving node in Underwater Acoustic Sensor Network, this paper uses nodes’ transmission power change process to build an evaluation model about neighbor nodes’ location stability based on Hidden Markov Model, and solves the evaluation model by Baum-Welch algorithm and Viterbi algorithm. It selects a neighbor node which location is most stable as the forwarding node, enhancing the packet delivery fraction. The simulation results show that the improved routing protocol with Hidden Markov Model improves the packet delivery fraction of network with moving nodes, and improves the data forwarding ability of network.