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Minimize Residual Energy of the 3-D Underwater Sensor Networks with Non-uniform Node Distribution to Prolong the Network Lifetime

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2017)

Abstract

Underwater sensor networks (UWSNs) have caused wide-spread concern of academia due to their wide range of applications. Efficient energy depletion and avoiding energy holes are the important issues. In this paper, we study on the theoretical aspects of the non-uniform node distribution strategy in the 3-D underwater environment, which aim to mitigate the energy holes and balance energy depletion of nodes in the 3-D underwater sensor networks. Based on extensive analysis and theoretical proofs, the absolute balanced energy depletion in the whole underwater sensor networks is not achievable, while the maximized balanced energy depletion except for the nodes in the outermost AGR (Annular Globular Region) is possible. Furthermore, we propose a non-uniform distribution routing algorithm based the minimum energy consumption called MEC to address the energy hole problems and prolong the network lifetime. Extensive simulations show that the network achieves a high energy efficiency, less than 5% of total initial energy is wasted and the network lifetime is prolonged more than 400% compared with the uniform node distribution strategy.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant No. 60903193, No. 61402327, and the Tianjin Research Program of Application Foundation and Advanced Technology under Grant No. 12JCQNJC00200.

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Correspondence to Gaotao Shi .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shi, G., Zeng, J., Liu, C., Li, K. (2018). Minimize Residual Energy of the 3-D Underwater Sensor Networks with Non-uniform Node Distribution to Prolong the Network Lifetime. In: Romdhani, I., Shu, L., Takahiro, H., Zhou, Z., Gordon, T., Zeng, D. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 252. Springer, Cham. https://doi.org/10.1007/978-3-030-00916-8_59

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  • DOI: https://doi.org/10.1007/978-3-030-00916-8_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00915-1

  • Online ISBN: 978-3-030-00916-8

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