Timing-sync protocol for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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
Localization and Tracking in Sensor Systems
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops - Volume 02
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
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Most of the existing clock synchronization algorithms for wireless sensor networks can be viewed as proactive clock synchronization since they require nodes to periodically synchronize their clock to a reference node regardless of whether they use time information or not. However, the proactive approach wastes unnecessary energy and bandwidth when nodes don't use time information for their operations. In this paper, we propose a new clock synchronization scheme called Reactive Clock Synchronization (RCS) that can be carried out on demand. The main idea is that a source node initiates a synchronization process in parallel with a data communication. To propagate clock information only when there is traffic, we embed the synchronization process in a data communication process. The results from detailed simulations confirm that RCS consumes only less than 1 percent of the energy consumption compared to two representative existing algorithms while it improves the clock accuracy by up to 75.8%.