Fine-grained network time synchronization using reference broadcasts
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
A Mutual Network Synchronization Method for Wireless Ad Hoc and Sensor Networks
IEEE Transactions on Mobile Computing
An algorithm for clock synchronization with the gradient property in sensor networks
Journal of Parallel and Distributed Computing
Estimating clock uncertainty for efficient duty-cycling in sensor networks
IEEE/ACM Transactions on Networking (TON)
Gradient clock synchronization in wireless sensor networks
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
PLL Based Time Synchronization in Wireless Sensor Networks
RTCSA '09 Proceedings of the 2009 15th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Low-power clock synchronization using electromagnetic energy radiating from AC power lines
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Optimal clock synchronization in networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
A tale of two synchronizing clocks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
IEEE Transactions on Wireless Communications
Tight bounds for clock synchronization
Journal of the ACM (JACM)
Clock Synchronization: Open Problems in Theory and Practice
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Relative clock synchronization in wireless networks
IEEE Communications Letters
Cross-Layered Synchronization Protocol for Wireless Sensor Networks
ICN '10 Proceedings of the 2010 Ninth International Conference on Networks
IEEE Transactions on Wireless Communications
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Hi-index | 0.00 |
This paper proposes a new synchronization protocol for wireless sensor networks (WSN). The proposed protocols is based on the receive/reieve approach, which was introduced by the Reference Broadcast Synchronization (RBS). This approach has been chosen for its lower time-critical path compared to the sender/receiver approach. Contrary to RBS upon which rely all current receiver/receiver solutions, the proposed one is totally distributed and does not depend on any fixed reference. The reference's function is balanced among all sensors, which eliminates the single point of failure shortcomings. RBS needs additional steps for exchanging reception timestamps. On the other hand, the proposed protocol allow these timestamps to be piggybacked to the regular beacons, reducing thus the overhead and energy consumption. The protocol deals with local synchronization and allows neighboring nodes to relatively synchronize with each other by estimating relative skews/offsets. Maximum Likelihood estimators (MLEs) are derived for channels with Gaussian (normal) distributed delays, and for both offset-only and joint offset/skew models. The Cramer-Rao Lower Bounds (CRLBs) are derived for each model and numerically compared with the MLE. Results show quick convergence of the proposed estimators' precision to CRLB. To our knowledge, this is the first distributed receiver/receiver solution that eliminates the need of a fixed reference while taking advantage of the receiver/receiver synchronization's precision.