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哈尔滨工程大学计算机科学与技术学院,黑龙江 哈尔滨150001
[ "王慧强(1960-),男,河南周口人,哈尔滨工程大学教授、博士生导师,主要研究方向为云计算、信息安全、自律计算与可信计算、认知网络。" ]
[ "温秀秀(1989-),女,黑龙江牡丹江人,哈尔滨工程大学博士生,主要研究方向为传感器网络、未来网络和认知网络等。" ]
[ "林俊宇(1981-),男,广西博白人,哈尔滨工程大学助理研究员,主要研究方向为自律计算、未来网络和 QoS保障。" ]
[ "冯光升(1980-),男,山东德州人,哈尔滨工程大学讲师,主要研究方向为认知网络和QoS保障。" ]
[ "吕宏武(1983-),男,山东日照人,哈尔滨工程大学讲师,主要研究方向为未来网络、性能评价和进程代数。" ]
网络出版日期:2016-01,
纸质出版日期:2016-01-25
移动端阅览
王慧强, 温秀秀, 林俊宇, 等. 基于移动模型的水下传感器网络时间同步算法[J]. 通信学报, 2016,37(1):1-9.
qiang WANGHui, xiu WENXiu, yu LINJun, et al. Time synchronization algorithm based on mobility model for underwater sensor networks[J]. Journal on communications, 2016, 37(1): 1-9.
王慧强, 温秀秀, 林俊宇, 等. 基于移动模型的水下传感器网络时间同步算法[J]. 通信学报, 2016,37(1):1-9. DOI: 10.11959/j.issn.1000-436x.2016001.
qiang WANGHui, xiu WENXiu, yu LINJun, et al. Time synchronization algorithm based on mobility model for underwater sensor networks[J]. Journal on communications, 2016, 37(1): 1-9. DOI: 10.11959/j.issn.1000-436x.2016001.
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。
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.
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CARUSO A , PAPARELLA F , VIEIRA L F M , et al . The meandering current mobility model and its impact on underwater mobile sensor networks [C ] The 27th Conference on Computer Communications . San Francisco,CA,USA , c 2008 : 771 - 779 .
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