Joint Estimation of Clock Skew and Offset in Pairwise Broadcast Synchronization Mechanism
Joint Estimation of Clock Skew and Offset in Pairwise Broadcast Synchronization Mechanism
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DOI：
10.1109/tcomm.2013.032713.120511
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发表时间：
2013-04
影响因子：
8.3
通讯作者：
Xuanyu Cao;Feng Yang;Xiaoying Gan;J. Liu;Liang Qian;Xiaohua Tian;Xinbing Wang
中科院分区：
文献类型：
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作者：
Xuanyu Cao;Feng Yang;Xiaoying Gan;J. Liu;Liang Qian;Xiaohua Tian;Xinbing Wang
研究了无线传感器网络（WSNs）成对广播同步（PBS）协议中时钟偏差和偏移的联合估计问题。延迟的随机部分被假定为指数随机变量。我们考虑两个估计，即，联合极大似然估计（JMLE）和广义似然估计（GMLLE）。对于这两个估计，相应的算法明确推导和提出。对于GMLLE，相应的性能界的基础上减少的一组意见，并确定相应的用户定义的参数的最佳值。最后，数值实验验证了分析结果。我们注意到：（i）JMLE通常优于GMLLE在较大的计算复杂度的成本;（ii）JMLE，同时实现相同的估计精度的LP方法中，享有显着低于后者的计算复杂度。
The problem of jointly estimating clock skew and offset for wireless sensor networks (WSNs) in a pairwise broadcast synchronization (PBS) protocol is considered. The random part of the delay is supposed to be an exponential random variable. We consider two estimators, i.e., joint maximum-likelihood estimator (JMLE) and generalized ML-like estimator (GMLLE) proposed by Leng and Wu . For both estimators, the corresponding algorithms are explicitly derived and presented. For the GMLLE, the corresponding performance bound based on the reduced set of observations is derived and the optimal value of a user-defined parameter is identified accordingly. At last, analytical results are corroborated by numerical experiments. We observe that: (i) JMLE usually outperforms GMLLE at the cost of larger computational complexity; (ii) JMLE, while achieving the same estimation accuracy as that of the LP method presented in , enjoys significantly lower computational complexity than that of the latter.