DocumentCode
2078121
Title
Clock Offset and Skew Estimation in Wireless Sensor Networks with Known Deterministic Delays and Exponential Nondeterministic Delays
Author
Chaudhari, Qasim M. ; Serpedin, Erchin
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
fYear
2008
fDate
June 29 2008-July 5 2008
Firstpage
37
Lastpage
40
Abstract
Clock synchronization among the nodes of wireless sensor networks (WSN) is important for many of its applications but this task becomes quite complex due to their special characteristics. To achieve this goal of clock synchronization, there have been many protocols and algorithms presented so far all of which rely on some kind of timing message exchange among the nodes to be synchronized. In this paper, we have derived the maximum likelihood estimates (MLE) for clock offset and skew for a two-way timing message exchange mechanism where the deterministic portion of timing delays, e.g., transmission, propagation and reception times, etc., are known at the receiver or are assumed to be equal to 0. A similar methodology can be applied to derive the ML estimates for other message exchange mechanisms. An algorithm to estimate these clock parameters in this case is also presented in detail.
Keywords
delays; maximum likelihood estimation; protocols; synchronisation; wireless sensor networks; clock offset; clock synchronization; deterministic delays; exponential nondeterministic delays; maximum likelihood estimation; protocols; skew estimation; timing delays; timing message exchange mechanism; wireless sensor networks; Clocks; Delay effects; Delay estimation; Frequency synchronization; Intelligent networks; Maximum likelihood estimation; Propagation delay; Protocols; Timing; Wireless sensor networks; Clock Synchronization; Maximum Likelihood Estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Telecommunications, 2008. ICDT '08. The Third International Conference on
Conference_Location
Bucharest
Print_ISBN
978-0-7695-3188-5
Electronic_ISBN
978-0-7695-3188-5
Type
conf
DOI
10.1109/ICDT.2008.8
Filename
4561282
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