Method for WSN clock synchronization based on optimized SLTP protocol

The current paper describes a method for adaptive compensation of the deviations in quartz stabilized clocks, embedded in the wireless sensor modules. The method is effective in cases of dynamic change of external temperature, vibration and moisture. The proposed clock synchronization method is based on the SLTP (Scalable Lightweight Time-synchronization Protocol) and uses two-level optimization by the Kalman Filter and Fraser-Potter equation approach as key criteria for dynamic change of the clock synchronization interval.

[1]  Richard Han,et al.  TSync: a lightweight bidirectional time synchronization service for wireless sensor networks , 2004, MOCO.

[2]  Jan M. Rabaey,et al.  Lightweight time synchronization for sensor networks , 2003, WSNA '03.

[3]  Choong Seon Hong,et al.  Passive cluster based clock synchronization in sensor network , 2005, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05).

[4]  Kay Römer,et al.  Wireless sensor networks: a new regime for time synchronization , 2003, CCRV.

[5]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[6]  Pi,et al.  A Stochastic Realization Approach to the Smoothing Problem , .

[7]  Daeyoung Kim,et al.  Cluster-based hierarchical time synchronization for multi-hop wireless sensor networks , 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

[8]  A. Lindquist,et al.  A Stochastic Realization Approach to the Smoothing Problem. Revised. , 1979 .

[9]  Injong Rhee,et al.  DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks , 2006, IEEE Transactions on Mobile Computing.