Collision Based Time Synchronization for Underwater Sensor Networks

Article Preview

Abstract:

To synchronize nodes’ time in mobile underwater sensor networks, a collision based time synchronization scheme called “Coll-Sync” is proposed, which is a novel time synchronization approach for underwater acoustic environment. Collision has been identified as a major challenge to communication, and current systems implement sophisticated solutions to detect and avoid it. Coll-Sync shows that collision contains highly useful information that can be leveraged to improve time synchronization greatly. It is the first time synchronization algorithm that does not suffer but benefit from collision in underwater acoustic channel. Simulation results show that Coll-Sync has high precision and low energy cost. It significantly outperforms existing time synchronization schemes.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

806-810

Citation:

Online since:

December 2012

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Jun Liu, Zhaohui Wang, James Zheng Peng, Michael Zuba, Jun-Hong Cui, and Shengli Zhou. TSMU: A time synchronization scheme for mobile underwater sensor networks. IEEE Global Telecommunications Conference (GLOBECOM 2011), pp.1-6, (2011).

DOI: 10.1109/glocom.2011.6134447

Google Scholar

[2] Wang Yifan, Zhang Zaichen, Bi Guangguo. An Overview on Underwater Acoustic Sensor Networks. 17th International Conference on Telecommunications, 2010, 779-783.

DOI: 10.1109/ictel.2010.5478812

Google Scholar

[3] Lasassmeh, S.M., Conrad, J.M. Time Synchronization in Wireless Sensor Networks: A survey. IEEE SoutheastCon 2010, 242-245.

DOI: 10.1109/secon.2010.5453878

Google Scholar

[4] Yik-Chung Wu Chaudhari, Q. Serpedin, E. Clock Synchronization of Wireless Sensor Networks. IEEE Signal Processing Magazine, 8(1): 124-138, (2011).

DOI: 10.1109/msp.2010.938757

Google Scholar

[5] Li Wang; Zhi Bin Wang, et al. A Survey of Time Synchronization of Wireless Sensor Networks. Conference on Wireless, Mobile and Sensor Networks 2007 (CCWMSN07).

DOI: 10.1049/cp:20070128

Google Scholar

[6] Jun Liu, Zhong Zhou, Zheng Peng and Jun-Hong Cui, Mobi-Sync: efficient time synchronization for mobile underwater sensor networks, IEEE Transactions on Parallel and Distributed Systems, issue 99, (2012).

DOI: 10.1109/tpds.2012.71

Google Scholar

[7] Feng Lu, Diba Mirza, Curt Schurger, D-Sync: Doppler-Based Time Synchronization for Mobile Underwater Sensor Networks, The Fifth ACM International Workshop on Underwater Networks (WUWNET), Woods Hole, MA, (2010).

DOI: 10.1145/1868812.1868815

Google Scholar

[8] M. Stojanovic. On the Relationship between Capacity and Distance in an Underwater Acoustic Communication Channel. ACM SIGMOBILE Mobile Computing and Communications Review (MC2R), vol. 11, Issue 4, October 2007, pp.34-43.

DOI: 10.1145/1347364.1347373

Google Scholar

[9] Syed, A. A., Heidemann, J., Time Synchronization for High Latency Acoustic Networks, 25th IEEE International Conference on Computer Communications. (INFOCOM 2006), pp.1-12.

DOI: 10.1109/infocom.2006.161

Google Scholar

[10] Chirdchoo N, Soh W S, Chua K C., MU-Sync: A Time Synchronization Protocol for Underwater Mobile Networks, Proceedings of WUWNet'08. 2008, pp.35-42.

DOI: 10.1145/1410107.1410115

Google Scholar

[11] Jun Peng, Liang Cheng, Biplab Sikdar. A Wireless MAC Protocol with Collision Detection. IEEE Transactions on Mobile Computing, 6(12), 1357-1369, (2007).

DOI: 10.1109/tmc.2007.1073

Google Scholar

[12] Chao Zhou, Xinggong Zhang, Lichuan Lu, Zongming Guo. Collision-detection based Rate-adaptation for Video Multicasting over IEEE 802. 11 Wireless Networks. 2010 17th IEEE International Conference on Image Processing (ICIP), (2010).

DOI: 10.1109/icip.2010.5652665

Google Scholar