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

被引:9
作者
Guo, Jiani [1 ]
Song, Shanshan [2 ]
Liu, Jun [4 ,5 ]
Wan, Lei [6 ]
Zhao, Yan [3 ]
Han, Guangjie [7 ]
机构
[1] Jilin Univ, Changchun, Peoples R China
[2] Jilin Univ, Dept Comp Sci & Technol, Changchun, Peoples R China
[3] Jilin Univ, Comp Sci & Technol, Changchun, Peoples R China
[4] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[5] Smart Ocean Technol Co Ltd, Shenzhen, Peoples R China
[6] Xiamen Univ, Sch Informat, Xiamen, Peoples R China
[7] Hohai Univ, Dept Informat & Commun Syst, Nanjing, Peoples R China
来源
IEEE NETWORK | 2022年 / 36卷 / 03期
基金
中国国家自然科学基金;
关键词
Multicarrier code division multiple access; Simulation; Modulation; Interference; Spread spectrum communication; Media Access Protocol; Throughput;
D O I
10.1109/MNET.123.2100332
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:167 / 173
页数:7
相关论文
共 15 条
[1]  
[Anonymous], 2008, Multi-Carrier and Spread Spectrum Systems:From OFDM and MC-CDMA to LTE and WiMAX
[2]   Ant system: Optimization by a colony of cooperating agents [J].
Dorigo, M ;
Maniezzo, V ;
Colorni, A .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (01) :29-41
[3]  
Hartigan J. A., 1979, Applied Statistics, V28, P100, DOI 10.2307/2346830
[4]   Collective motion, sensor networks, and ocean sampling [J].
Leonard, Naomi Ehrich ;
Paley, Derek A. ;
Lekien, Francois ;
Sepulchre, Rodolphe ;
Fratantoni, David M. ;
Davis, Russ E. .
PROCEEDINGS OF THE IEEE, 2007, 95 (01) :48-74
[5]  
Lv C, 2014, INT J DISTRIBUTED SE, V10, P257
[6]   A Multirate Medium Access Control Protocol for Underwater Acoustic Sensor Networks Based on Multicarrier Code Division Multiple Access [J].
Ma, Lujuan ;
Li, Deshi ;
Nie, Jugen .
SENSOR LETTERS, 2013, 11 (05) :796-804
[7]  
Martin R., 2017, PROC INT C UNDERWATE, P1
[8]  
Molins M., 2006, PROC OCEANS 2006 ASI, P1
[9]  
Ng HH, 2010, OCEANS-IEEE
[10]  
Peng Xie, 2007, 2007 International Conference on Wireless Algorithms, Systems and Applications, P187