DocumentCode :
777625
Title :
Novel Clock Phase Offset and Skew Estimation Using Two-Way Timing Message Exchanges for Wireless Sensor Networks
Author :
Noh, Kyoung-Lae ; Chaudhari, Qasim Mahmood ; Serpedin, Erchin ; Suter, Bruce W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
Volume :
55
Issue :
4
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
766
Lastpage :
777
Abstract :
Recently, a few efficient timing synchronization protocols for wireless sensor networks (WSNs) have been proposed with the goal of maximizing the accuracy and minimizing the power utilization. This paper proposes novel clock skew estimators assuming different delay environments to achieve energy-efficient network-wide synchronization for WSNs. The proposed clock skew correction mechanism significantly increases the re-synchronization period, which is a critical factor in reducing the overall power consumption. The proposed synchronization scheme can be applied to the conventional protocols without additional overheads. Moreover, this paper derives the Cramer-Rao lower bounds and the maximum likelihood estimators under different delay models and assumptions. These analytical metrics serves as good benchmarks for the thus far reported experimental results
Keywords :
maximum likelihood estimation; protocols; synchronisation; wireless sensor networks; Cramer-Rao lower bounds; clock phase offset; different delay models; maximum likelihood estimators; skew estimation; timing synchronization protocols; two-way timing message exchanges; wireless sensor networks; Clocks; Delay estimation; Energy consumption; Energy efficiency; Maximum likelihood estimation; Phase estimation; Synchronization; Timing; Wireless application protocol; Wireless sensor networks; Clock synchronization; timing-sync protocol for sensor networks (TPSN); wireless sensor network (WSN);
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2007.894102
Filename :
4155132
Link To Document :
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