基于能量分簇的水下传感器网络V-时间同步算法研究

Research on V-Time Synchronization Algorithm for Underwater Sensor Networks Based on Energy Clustering

时间同步技术是传感器网络中节点工作的基础。与陆地无线传感器网络不同的是,水下传感器网络主要采用水声通信的方式,并且由于水下节点具有传播速度低、链路距离长等特点,导致水下传播具有很大的时延,这给解决同步问题带来诸多挑战。研究一种基于能量分簇模型的水下传感器网络的时间同步问题,引入相对移动距离变量,提出水下传感器网络V-时间同步算法。此算法在有效减少节点间通信能耗的同时又提高同步精度。通过MATLAB,对该V-时间同步算法的能量消耗和同步精度进行仿真对比实验,最后得出此算法具有能耗低、高精度的特点,证明该研究有意义。

Time synchronization technology is the basis for the work of nodes in the sensor network.Different from terrestrial wireless sensor networks,under water sensor networks mainly adopt underwater acoustic communication,and due to the characteristics of underwater nodes such as low propagation and long link distance,underwater communication has a large time delay.So,there are many challenges to solve the synchronization problems.Studies the time synchronization problem of underwater sensor networks based on the energy clustering model,introduces the relative moving distance variable,and proposes an underwater sensor network V-time synchronization algorithm.This algorithm can effectively reduce the energy consumption of communication between nodes meanwhile improving the accuracy of synchronization.By using MATLAB,the energy consumption and synchronization accuracy of the V-time synchronization algorithm are simulated and compared.Finally,this algorithm has the characteristics of low energy consumption and high accuracy,which proves the significance of this research.