NDLI: Maximum likelihood estimation based on time synchronization algorithm for wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	XianZhong Tian YongGang Miao TongSen Hu BoJie Fan Jian Pan Wei Xu
Copyright Year	2009
Description	Author affiliation: School of Computer Science and Technology, Zhejiang University of Technology, The city of Hangzhou, Zhejiang province (XianZhong Tian; YongGang Miao; TongSen Hu; BoJie Fan; Jian Pan; Wei Xu)
Abstract	Traditional time synchronization algorithm focuses on improving the synchronization mechanism to improve the synchronization accuracy. With development of time synchronization, more and more focuses on how to process the synchronization information to improve the synchronization accuracy. Maximum likelihood estimation method is one of the mathematical statistics theories commonly used in parameter estimation, which is commonly used in data processing as well. This article is devoted to further processing the synchronization information in HTRS (the push-based Hierarchy Referencing Time Synchronization Protocol) by using the maximum likelihood estimation method, so as to improve the accuracy of this synchronization algorithm. We should point that this improvement does not alter the original synchronization mechanism. And the local node can use their own ability to deal with the synchronization information, by employing the maximum likelihood estimation method to estimate the maximum possible value of the time offset. Our experiments show that the maximum likelihood estimation method can improve the accuracy of the synchronization algorithm without changing the original synchronization mechanism.
Starting Page	416
Ending Page	420
File Size	550139
Page Count	5
File Format	PDF
ISBN	9781424442478
DOI	10.1109/CCCM.2009.5267612
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Parameter estimation Communication system control HRTS WSN (Wireless Sensor Networks) Wireless communication Wireless sensor networks Technology management delay Space technology Maximum Likelihood Estimation Computer networks Time-sync Mathematical model Computer network management
Content Type	Text
Resource Type	Article

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