Abstract
In this paper, a dynamic architecture is presented for underwater sensor networks based on the physical clustering and intra-cluster autonomy according to the traditional logical clustering theory. In this architecture, the cluster headers eliminate the negative effects of the current and improve the stability of the underwater sensor networks by drawing cluster nodes to do circular motion through cluster cables. This wired communication inside cluster and wireless communication among clusters improve the speed of the data transmission and delivering. On the other hand, in order to solve energy-intensive problem, an energy harvesting technology is considered to provide nodes with sustainable energy. This dynamic underwater sensor network architecture provides a basic model to study the high-performance and reusable underwater sensor networks.
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References
Akyildiz, I.F., Pompili, D., Melodia, T.: State of the art in protocol research for underwater acoustic sensor networks. In: Proc. of the 1 st ACM Int Workshop on Underwater Networks, pp. 7–16. ACM, New York (2006)
Sun, L.-J.: Overview of Topology Control Techniques in Underwater Acoustic Sensor Networks. Journal of Nanjing University of Posts and Telecommunications (Natural Science)Â 32(5) (2012)
Linfeng, L.: A topology recovery algorithm of underwater wireless sensor networks. In: 12th IEEE International Conference on Communication Technology, ICCT (2010)
Liu, L., Wang, R., Xiao, F.: Topology control algorithm for underwater wireless sensor networks using GPS-free mobile sensor nodes. Journal of Network and Computer Applications 35(6), 1953–1963 (2012)
Tezcan, H., Cayirci, E., Coskun, V.: A distributed scheme for 3D space coverage in tactical underwater sensor networks. In: Proc. of Military Communications Conf., pp. 697–703. IEEE Press, Monterey (2004)
Caruso, A., et al.: The Meandering Current Mobility Model and its Impact on Underwater Mobile Sensor Networks. In: The 27th Conference on Computer Communications, INFOCOM 2008. IEEE (2008)
Chandrasekhar, V.: Localization in underwater sensor networks: survey and challenges. In: WUWNet 2006 Proceedings of the 1st ACM International Workshop on Underwater Networks, pp. 33–40 (2006)
Zhong, Z., et al.: Scalable Localization with Mobility Prediction for Underwater Sensor Networks. IEEE Transactions on Mobile Computing 10(3), 335–348 (2011)
Akbari Torkestani, J.: Mobility prediction in mobile wireless networks. Journal of Network and Computer Applications 35(5), 1633–1645 (2012)
Liu, B.: Mobility improves coverage of sensor networks. In: MobiHoc 2005, Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 300–308 (2005)
Yu, W., Fan, L., Dahlberg, T.A.: WSN14-1: Power Efficient 3-Dimensional Topology Control for Ad Hoc and Sensor Networks. In: Global Telecommunications Conference, GLOBECOM 2006. IEEE (2006)
Ovaliadis, K.: Energy Efficiency in Underwater Sensor Networks: A Research Review. Journal of Engineering Science and Technology Review 3(1), 151–156 (2010)
Rezaei, H.F., Kruger, A., Just, C.: An energy harvesting scheme for underwater sensor applications. In: 2012 IEEE International Conference on Electro/Information Technology (EIT), pp. 151–156 (2012)
Hormann, L.B., et al.: A wireless sensor node for river monitoring using MSP430 and energy harvesting. In: 2010 4th European Education and Research Conference, EDERC (2010)
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Chen, H., Wu, X., Wang, Y., Liu, G., Shu, L., Zhang, X. (2014). A Dynamic Underwater Sensor Network Architecture Based on Physical Clustering and Intra-cluster Autonomy. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_9
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DOI: https://doi.org/10.1007/978-3-642-54522-1_9
Publisher Name: Springer, Berlin, Heidelberg
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