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Title: CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks

Authors: Qi Liu; Xuedong Chen; Xiaodong Liu; Nigel Linge

Addresses: Jiangsu Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology (CICAEET), School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computer and Software, Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Computing, Edinburgh Napier University, 10 Clinton Road, Edinburgh EH10 5DT, UK ' School of Computing, Science and Engineering, The University of Salford, Salford, Greater Manchester, M5 4WT, UK

Abstract: Underwater acoustic sensor networks (UANs) have emerged as a promising technology recently, which can be applied in many areas such as military and civil, where the communication between devices is crucial and challenging owing to the unique characteristics of underwater acoustic-based environment, such as high latency and low bandwidth. In this paper, context awareness is applied to the design of an underwater communication approach, called context-aware communication approach for a UAN (CACA-UAN), which aims to improve the overall performance of the underwater communication. According to the results, the proposed CACA-UAN can increase the efficiency and reliability of the underwater communication system.

Keywords: context-aware; UAN; underwater acoustic sensor network; CACA; context-aware communication; efficiency; reliability.

DOI: 10.1504/IJSNET.2018.088364

International Journal of Sensor Networks, 2018 Vol.26 No.1, pp.1 - 11

Available online: 20 Nov 2017 *

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