4.7 Article

An Efficient Medium Access Control Scheme Based on MC-CDMA for Mobile Underwater Acoustic Networks

Journal

IEEE NETWORK
Volume 36, Issue 3, Pages 167-173

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.123.2100332

Keywords

Multicarrier code division multiple access; Simulation; Modulation; Interference; Spread spectrum communication; Media Access Protocol; Throughput

Funding

  1. National Natural Science Foundation of China [61631008, 61971206, 62101211]
  2. National Key Research and Development Program of China [2021YFC2803000]
  3. Overseas Top Talents Program of Shenzhen [KQTD20180411184955957]
  4. Special Funds Program for Promoting Economic Development of Guangdong [GDME2018A002]

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This article proposes a novel MC-COMA-based cross-layer MAC scheme, called MCI-MAC, for mobile UANs. By dynamically allocating spread spectrum sequences and using an optimal channel selection algorithm, it improves the communication efficiency and network throughput in mobile UANs.
Performing effective medium access control (MAC) encounters great challenges for mobile underwater acoustic networks (UANs), because it suffers from low signal-to-noise ratio, Doppler shift, large communication latency, and so on. Multi-carrier code-division multiple access (MC-COMA) is a promising modulation technique appropriate for solving the above restrictions. In this article, we design a novel MC-COMA-based cross-layer MAC scheme for mobile UANs, called MCI-MAC, to achieve efficient high-concurrency communication. Specifically, this method allocates spread spectrum sequences dynamically on the basis of velocity, propagation distance, data size, and data grade to improve robustness and flexibility of communication. Moreover, we propose an ant-colony-based optimal channel selection algorithm to decrease inter-carrier interference and inter-symbol interference, which concurrently maximizes energy efficiency and network throughput. In addition, we further propose a solution to solve multihop networks' collisions. Simulation results show that MCI-MAC is more effective than the state-of-the-art methods in mobile UANs.

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