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Adaptive Power Controlled Routing for Underwater Sensor Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

Abstract

Energy efficiency and mobility robustness are two of the main performance metrics to be addressed when designing any routing protocol for underwater sensor network (UWSN). Energy efficiency leads to a prolonged network life time, while mobility robustness ensures high and stable delivery ratio. Most of the routing strategies designed for UWSN require a full knowledge of the three dimensional location of nodes. In this paper, we introduce an energy efficient routing schema that does not require any location information, and achieves high packet delivery ratio for both static and mobile scenarios in sparse or dense networks. In our routing strategy, nodes assign themselves to concentric layers. A node to layer assignment is determined by signal power of a received interest packet broadcast by sink nodes. Routing paths are determined on the fly, and a forwarder is chosen based on its layer number and residual energy. Nodes are assumed to be able to adjust their transmission power to a finite set of values. Low power level is most likely selected by nodes when the network is dense, whereas a higher power level is selected when the network is sparse or when nodes at layers closer to the sink has more residual energy. Simulation results shows that our routing protocol achieves a high delivery ratio and a low energy consumption while reducing the delay when compared with other routing strategies for both sparse and dense networks.

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© 2012 Springer-Verlag Berlin Heidelberg

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Al-Bzoor, M., Zhu, Y., Liu, J., Reda, A., Cui, JH., Rajasekaran, S. (2012). Adaptive Power Controlled Routing for Underwater Sensor Networks. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_48

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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