Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Time synchronization in ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Time Synchronization for Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Wireless sensor networks: a new regime for time synchronization
ACM SIGCOMM Computer Communication Review
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Lightweight time synchronization for sensor networks
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
Timing-sync protocol for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Adaptive clock synchronization in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Practical algorithm for data security (PADS) in wireless sensor networks
MobiDE '07 Proceedings of the 6th ACM international workshop on Data engineering for wireless and mobile access
DKMS: distributed hierarchical access control for multimedia networks
International Journal of Security and Networks
Wireless fire monitoring system for ancient buildings
Proceedings of the 2nd international conference on Scalable information systems
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Time synchronization is a critical topic in wireless sensor networks for its wide applications, such as data fusion, TDMA scheduling and cooperated sleeping, etc. In this paper, we present an accurate time synchronization (ATS) algorithm using linear least square for sensor networks. Unlike the previous protocols, all nodes aren’t synchronized to some reference nodes or sink node, but to a virtual clock. Moreover, each pair of the nodes are synchronized each other. The main advantage of ATS is simple and accurate. The variance of the synchronized drift error is no more than Ds*δ / 2β2, where Ds is the depth of the network, δ is the maximal variance of the link delay and β is the sampling interval. The experiments show the high precision compared with the previous algorithms.