摘要
针对大规模多跳传感器网络节点间所存在的同步误差及其累积误差问题,提出了一种基于加权最小二乘法的TPSN-RBS联合时间同步算法。该算法充分利用可监听到的消息,通过加权最小二乘法估计得到节点逻辑时钟的时间偏移和频率偏移的最优解。用Cramér-Rao下界对本算法进行性能分析,同时与TPSN算法进行仿真对比,结果表明:该算法提高了节点间的同步精度,且在节点密集的大规模无线传感器网络中,在保证较低通信量的同时降低了累积误差。
A TPSN-RBS joint time synchronization algorithm based on weighted least square method is proposed, aiming at synchronization errors and its calculative errors existing between massive multiple hops sensor network nodes. The optimal solution for the time offset and frequency offset of logical clock of node is obtained by weighted least square method, using messages that can be heard. The Cramer-Rao lower bound is used for performance analysis,and compared with the TPSN algorithm, the simulation resuhs show that, the synchronization precision between nodes is improved, and in large-scale wireless sensor networks with dense nodes, assure lower communication traffic, at the sometime cumulative errors are reduced.
出处
《传感器与微系统》
CSCD
2016年第1期149-152,160,共5页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61362006)
省部共建教育部重点实验室认知无线电基金资助项目(2013ZR08)
2014年度广西高校科学技术研究项目(YB2014137)
关键词
无线传感器网络
时间同步
加权最小二乘法
wireless sensor networks（WSNs）
time synchronization
weighted least square method
