通信学报 ›› 2016, Vol. 37 ›› Issue (1): 1-9.doi: 10.11959/j.issn.1000-436x.2016001

• 学术论文 •    下一篇

基于移动模型的水下传感器网络时间同步算法

王慧强,温秀秀,林俊宇,冯光升,吕宏武   

  1. 哈尔滨工程大学计算机科学与技术学院,黑龙江 哈尔滨150001
  • 出版日期:2016-01-25 发布日期:2016-01-27
  • 基金资助:
    国家自然科学基金资助项目;博士点基金优先发展领域基金资助项目;教育部高等学校博士点基金资助项目;黑龙江省自然科学重点基金资助项目;中央高校基本科研业务费专项基金资助项目;中央高校基本科研业务费专项基金资助项目

Time synchronization algorithm based on mobility model for underwater sensor networks

qiang WANGHui,xiu WENXiu,yu LINJun,sheng FENGGuang,wu LYUHong   

  1. College of Computer Science and Technology, Harbin Eng neering University, Harbin 150001, China
  • Online:2016-01-25 Published:2016-01-27
  • Supported by:
    The National Natural Science Foundation of China;The Research Fund for the Doctoral Program of Higher Education of China (Priority Development Area);The Research Fund for the Doctoral Program of Higher Education of China;The Natural Science Foundation of Heilongjiang Province;The Fundamental Research Fund for the Central Universities;The Fundamental Research Fund for the Central Universities

摘要:

水下传感器网络具有高时延、移动性的特点。现有时间同步算法在网络移动性方面考虑不足,时间同步参数计算精度不高。针对该问题,首先分析网络移动性对时间同步参数计算的影响,建立节点移动模型,并在此基础上推导出时间同步参数计算方程;进而提出一种能够应用于水下高时延网络的时间同步算法MM-sync。实验结果表明,与现有算法相比,MM-sync能够在通信量较小的基础上达到较高的精确度,适用于高密度快速运动的水下传感器网络。

关键词: 传感器网络, 水下环境, 高时延网络, 时间同步, 移动模型

Abstract:

With the characteristics of high transmission delay and mobility, distributed time synchronization of underwa-ter sensor networks can be very challenging. The existing works cannot get high accuracy, because most of them ignore the long transmission latency, or dynamic changing tra ission delay caused by the mobility. A mobility model was built considering the effect of mobility and long transmission latency on time synchronization, and a time synchronization parameters equation was formed according to the mobili model. Thus, based on the equation, a time synchronization algorithm (MM-sync) was proposed. The experiment results show that MM-sync can reduce the consumption of energy, and can get higher accuracy than state-of-art solutions in high density underwater sensor networks with rapid movement.

Key words: sensor networks, underwater environment, high latency propagation networks, time synchronization, mobil-ity model

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