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CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network

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Cloud Computing and Security (ICCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10040))

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Abstract

Underwater acoustic sensor networks (UANs) have emerged as a promising technology which can be applied in many areas such as military and civil in recent years. Among these applications, the communication between the devices is crucial for providing the better service to the users. To facilitate the communication, effective communication approaches need to be developed, however, underwater communication may pose more challenges than terrestrial communication due to the unique characteristics of underwater acoustic channel, such as the high latency and the low bandwidth. In this paper, the context-aware technology is introduced to the design of the communication approach, and the context-aware communication approach for the UAN (CACA-UAN) is proposed which consists of an ontology-based context-aware modeling approach for the UAN, context-aware device association and context-aware communication mechanism to improve the overall performance of the underwater communication system. We have demonstrated that the proposed CACA-UAN can reduce the transmission latency and jitter of communication, and increase the efficiency and reliability of the underwater communication system.

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Acknowledgements

This work is supported by the NSFC (61300238, 61300237, 61232016, 1405254, 61373133), Marie Curie Fellowship (701697-CAR-MSCA-IFEF-ST), Basic Research Programs (Natural Science Foundation) of Jiangsu Province (BK20131004) and the PAPD fund.

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Correspondence to Qi Liu .

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Liu, Q., Chen, X., Liu, X., Linge, N. (2016). CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network. In: Sun, X., Liu, A., Chao, HC., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2016. Lecture Notes in Computer Science(), vol 10040. Springer, Cham. https://doi.org/10.1007/978-3-319-48674-1_4

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  • DOI: https://doi.org/10.1007/978-3-319-48674-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48673-4

  • Online ISBN: 978-3-319-48674-1

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