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高精度低功耗无线传感器网络时间同步算法
引用本文:陈孟元,周娅,郎朗.高精度低功耗无线传感器网络时间同步算法[J].传感器与微系统,2014,33(10):125-127.
作者姓名:陈孟元  周娅  郎朗
作者单位:安徽工程大学安徽省电气传动与控制重点实验室,安徽芜湖,241000
基金项目:安徽省自然科学基金资助项目,安徽高校省级自然科学研究项目
摘    要:通过对无线传感器网络参考广播同步(RBS)算法的研究,针对RBS多跳算法网络开销大和不能实现全网同步的问题,在基于环形网络拓扑的参考广播环形同步(RBRS)算法基础上,提出一种改进的RBRS (IRBRS)算法.该算法引入可变周期同步法:根据贝叶斯最大后验估计原理,估算出最大相位偏差来决定同步周期,从而减少节点同步次数,并且采用最小二乘线性回归法,周期性拟合时钟偏移.运用Matlab环境进行仿真,仿真结果表明:IRBRS算法同步精度显著提高,并且能量消耗显著减少,更有利于延长无线传感器网络的寿命.

关 键 词:无线传感器网络  时间同步  多跳  参考广播同步  误差开销分析

High precision and low power consumption time synchronization algorithm for wireless sensor networks
CHEN Meng-yuan,ZHOU Ya,LANG Lang.High precision and low power consumption time synchronization algorithm for wireless sensor networks[J].Transducer and Microsystem Technology,2014,33(10):125-127.
Authors:CHEN Meng-yuan  ZHOU Ya  LANG Lang
Affiliation:( Anhul Polytechnic University, Anhui Key Laboratory of Electric Drive and Control, Wuhu 241000, Chlna)
Abstract:Through research of reference broadcast synchronization(RBS) algorithms for wireless sensor networks (WSNs), aiming at problem of large amount of network overhead and the whole network synchronization, an algorithm based on references broadcast ring synchronization ( RBRS ) is presented, named improved RBRS (IRBRS) algorithm. The algorithm lead into variable cycle synchronization method. According to principle of Bayesian maximum posterior estimation, estimate the maximum phase offset to determine synchronization cycle to reduce the number of node synchronization,it also can fit clock skew periodically by least square linear regression method. Matlab software is used for simulation, results show that IRBRS algorithm synchronous precision is improved obviously and reduce energy consumption significantly to be better for extend life of wireless sensor networks.
Keywords:wireless sensor networks (WSNs)  time synchronization  multi-hop  reference broadcast synchronization (RBS)  error overhead analysis
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