ISCAS OpenIR  > 基础软件国家工程研究中心
a prediction based long-cycle time synchronization algorithm for sensor networks
Jiang Wentao; Sun Limin; Lv Junwei; Wang Feng
2010
会议名称53rd IEEE Global Communications Conference, GLOBECOM 2010
会议录名称GLOBECOM - IEEE Global Telecommunications Conference
页码-
会议日期40883
会议地点Miami, FL, United states
收录类别EI
出版地United States
ISBN9781420000000
部门归属(1) Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing, China; (3) School of Computing Science, Simon Fraser University, BC, Canada
摘要Existing time synchronization algorithms and protocols mostly focus on improving the synchronization accuracy. However, they usually require frequent re-synchronization to keep designed precision in actual applications, which leads to high energy consumption and heavy traffic load. This paper presents a Prediction based Long-cycle Time Synchronization algorithm (PLTS), which puts emphasis on reducing the resynchronization frequency while guaranteeing a given accuracy. PLTS is a combination of periodic synchronization and prediction synchronization. It makes use of an existing time synchronization protocol to accomplish the periodic synchronization, while during the intervals of periodic synchronization, each node applies a prediction model to calibrate its own logic time according to the crystal oscillator's frequency characteristics. By this means, all nodes can keep synchronization till next periodic synchronization starts. Experiment results show that PLTS can reduce resynchronization frequency remarkably and possesses good merits in saving energy and reducing traffic load. ©2010 IEEE.
关键词Algorithms Crystal Oscillators Energy Utilization Forecasting Mathematical Models Sensor Networks Telecommunication
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8622
专题基础软件国家工程研究中心
推荐引用方式
GB/T 7714
Jiang Wentao,Sun Limin,Lv Junwei,et al. a prediction based long-cycle time synchronization algorithm for sensor networks[C]. United States,2010:-.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
05683659.pdf(234KB) 开放获取--请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jiang Wentao]的文章
[Sun Limin]的文章
[Lv Junwei]的文章
百度学术
百度学术中相似的文章
[Jiang Wentao]的文章
[Sun Limin]的文章
[Lv Junwei]的文章
必应学术
必应学术中相似的文章
[Jiang Wentao]的文章
[Sun Limin]的文章
[Lv Junwei]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。