Title :
: Relative Referenceless Receiver/Receiver Time Synchronization in Wireless Sensor Networks
Author :
Djenouri, Djamel
Author_Institution :
CERIST Res. Center, Algiers, Algeria
fDate :
4/1/2012 12:00:00 AM
Abstract :
A new time synchronization protocol for wireless sensor networks (WSN) is proposed. It uses the receiver-to-receiver principle introduced by the Reference Broadcast Synchronization (RBS), which reduces the time-critical path compared to the sender-to-receiver approach. The proposed protocol has the advantage of distributing the reference´s function among all sensors, which eliminates the single point of failure (reference) shortcomings of RBS. It also allows timestamps to be piggybacked to the regular signals (beacons) and thus eliminates the need of separate transmissions for exchanging timestamps. After local synchronization, a multihop extension is proposed using final local estimates, with no forwarding of synchronization signals. Maximum likelihood estimators (MLE) are derived to estimate relative skew/offset for channels with Gaussian distributed delays. The Cramer-Rao lower bounds (CRLB) are accordingly derived and numerically compared with the MLE´s mean square error (MSE). Results show convergence of the proposed estimators´ precision to their respective CRLB with the increase of the number of signals.
Keywords :
Gaussian distribution; delay estimation; maximum likelihood estimation; protocols; radio receivers; synchronisation; wireless sensor networks; Cramer-Rao lower bound; Gaussian distributed delay; R4Syn; WSN; beacon; maximum likelihood estimator; receiver-to-receiver principle; reference broadcast synchronization; reference function; relative referenceless receiver-receiver time synchronization; time synchronization protocol; timestamps; wireless sensor networks; Clocks; Delay; Maximum likelihood estimation; Protocols; Receivers; Synchronization; Wireless sensor networks; Relative synchronization; signal processing for communication; skew/offset estimation; time synchronization; wireless sensor network;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2012.2185491