Browse > Article
http://dx.doi.org/10.7840/kics.2013.38C.5.486

Time Synchronization with Oceanic Movement Pattern in Underwater Wireless Networks  

Kim, Sungryul (부산대학교 컴퓨터공학과 유비쿼터스컴퓨팅 연구실)
Park, Seongjin (부산대학교 컴퓨터공학과 유비쿼터스컴퓨팅 연구실)
Yoo, Younghwan (부산대학교 컴퓨터공학과 유비쿼터스컴퓨팅 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38C, no.5, 2013 , pp. 486-496 More about this Journal
Abstract
Time synchronization in underwater environment is challenging due to high propagation delay and mobility of sensor nodes. Previous researches do not consider practical issues affecting on the accuracy of time synchronization such as high-channel access delay and relative position between sensor nodes. Also, those protocols using bidirectional message exchange shorten the network lifetime and decrease the network throughput because numerous transmission, reception and unnecessary overhearing can be occurred. Therefore, in our research, we suggest enhanced time synchronization based on features of underwater environment. It controls the instant of transmission by exploiting the feature of an oceanic movement and node deployment. Moreover, the protocol uses more accurate time information by removing channel access delay from the timestamp. The proposed scheme is also practical on the underwater sensor network requiring low-power consumption because the scheme conducts time-synchronization with smaller transmission and reception compared with previous works. Finally, simulation results show that the proposed protocol deceases time error by 2.5ms and 0.56ms compared with TSHL and MU-Sync respectively, reducing energy consumption by 68.4%.
Keywords
Linear-regression; Oceanic movement; Sensor network; Time synchronization; Underwater network;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Z. Zhou, Z. Peng, J.-H. Cui, Z. Shi, and A. C. Bagtzoglou, "Scalable localization with mobility prediction for underwater sensor networks," IEEE Trans. Mobile Computing, vol. 10, no. 3, pp. 335-348, Mar. 2011.   DOI   ScienceOn
2 J. Heidemann, W. Ye, J. Wills, A. Syed, and Y. Li, "Research challenges and applications for underwater sensor networking," IEEE. Wireless Commun. Networking Conf. (WCNC) 2006, vol. 1, pp. 228-235, Las Vegas, U.S.A., Apr. 2006.
3 A. A. Syed and J. Heidemann, "Time synchronization for high latency acoustic networks," in Proc. IEEE Int. Conf. Comput. Commun. (INFOCOM), pp. 1-12, Barcelona, Spain, Apr. 2006.
4 N. Chirdchoo, W. S. Soh, and K. C. Chua, "MU-sync: A time synchronization protocol for underwater," in Proc. 3rd ACM Int. Workshop Underwater Networks (WUWNet) '08, pp. 35-42, San Francisco, U.S.A., Sep. 2008.
5 F. Lu, D. Mirza, and C. Schurgers, "D-sync: Doppler-based time synchronization for mobile underwater sensor networks," in Proc. 5th ACM Int. Workshop Underwater Networks (WUWNet) '10, Woods Hole, U.S.A., Sep. 2010.
6 J. Liu, Z. Wang, Z. Peng, M. Zuba, C. Jun-Hong, and S. Zhou, "TSMU: A time synchronization scheme for mobile underwater sensor networks," in Proc. IEEE. Global Telecommun. Conf. (GLOBECOM 2011), pp. 1-6, Houston, U.S.A., Dec. 2011.
7 I. F. Akyildiz, D.Pompili, and T. Melodia, "Underwater acoustic sensor networks: research challenges," Ad Hoc Networks (ELSEVIER), vol. 3, pp. 257-279, Feb. 2005.   DOI   ScienceOn
8 A. Novikov and A. C. Bagtzoglou, "Hydrodynamic model of the lower Hudson River estuarine system and its application for water quality management," Water Resources Management, vol. 20, no. 2, pp. 257-276, Apr. 2006.   DOI
9 A. C. Bagtzoglou and A. Novikov, "Chaotic behavior and pollution dispersion characteristics in engineered tidal embayments: A numerical investigation," J. Amer. Water Resources Assoc., vol. 43, no. 1, pp. 207-219, Feb. 2007.   DOI   ScienceOn