System Architecture and Key Technologies of Underwater Body Area Network

XIAO Zhe-shui; CHEN Fa; FANG Kun-sheng; WANG Wei; HUANG Hai-ning

doi:10.11993/j.issn.2096-3920.2022-0014

Volume 30 Issue 6

Dec 2022

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Article Navigation > Journal of Unmanned Undersea Systems > 2022 > 30(6): 720-725

XIAO Zhe-shui, CHEN Fa, FANG Kun-sheng, WANG Wei, HUANG Hai-ning. System Architecture and Key Technologies of Underwater Body Area Network[J]. Journal of Unmanned Undersea Systems, 2022, 30(6): 720-725. doi: 10.11993/j.issn.2096-3920.2022-0014

Citation:

XIAO Zhe-shui, CHEN Fa, FANG Kun-sheng, WANG Wei, HUANG Hai-ning. System Architecture and Key Technologies of Underwater Body Area Network[J]. Journal of Unmanned Undersea Systems, 2022, 30(6): 720-725. doi: 10.11993/j.issn.2096-3920.2022-0014

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System Architecture and Key Technologies of Underwater Body Area Network

doi: 10.11993/j.issn.2096-3920.2022-0014

1.
Suzhou Soundtech Oceanic Instrument Ltd., Suzhou 215000, China
2.
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100086, China

Received Date: 2022-07-20
Accepted Date: 2022-10-14
Rev Recd Date: 2022-09-19

Available Online: 2022-11-22

Abstract

Abstract

The continuous development of special diver underwater portable equipment has led to the continuous progress of the intelligent ocean trans-media internet of things, and has made the construction of underwater body area networks increasingly concerning for countries. Based on this, this study discusses the layered system architecture of an underwater body area network, focusing on hot issues such as network standardization design and robust information transmission in the design process of underwater body area networks, and provides a solution. This study can provide a reference for the construction and optimization of underwater body area networks for divers.
- underwater body area network,
- diver,
- layered architecture,
- information transmission

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References(16)

References

[1]	Venkatasubramanian K K, Banerjee A, Gupta S K S. PSKA: Usable and Secure Key Agreement Scheme for Body Area Network[J]. IEEE Transactions on Information Technology in Biomedicine, 2010, 14(1): 60-68. doi: 10.1109/TITB.2009.2037617
[2]	邹卫霞, 康峰源, 杜光龙, 等. 基于中国医用体域网频段的物理层方案设计及干扰分析[J]. 电子与信息学报, 2015, 37(2): 429-435. Zou Wei-xia, Kang Feng-yuan, Du Guang-long, et al. Physical Layer Proposal Design and Interference Analysis Based on Chinese Medical Band in Wireless Body Area Network[J]. Journal of Electronics & Information Technology, 2015, 37(2): 429-435.
[3]	Alavi S M, Walsh M J, Hayes M J. Robust Distributed Active Power Control Technique for IEEE 802.15. 4 Wireless Sensor Networks—A Quantitative Feedback Theory Approach[J]. Control Engineering Practice, 2009, 17(7): 805-814. doi: 10.1016/j.conengprac.2009.02.001
[4]	Lin S, Zhang J B, Zhou G, et al. ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks[C]//Proceedings of the 4th International Conference on Embedded Networked Sensor Systems. New York, United States: ACM, 2006: 223-236.
[5]	Masood M M Y, Ahmed G, Khan N M. Modifiedon Demand Transmission Power Control Strategy for Wireless Sensor Net Works[C]//4th IEEE International Conference on Information and Communication Technologies. Tokoyo: ICTD, 2010.
[6]	Quwaider M, Rao J, Biswas S, et al. Body-posture-based Dynamic Linkpower Control in Wearable Sensor Networks[J]. IEEE Communications Magazine, 2010, 48(7): 134-142. doi: 10.1109/MCOM.2010.5496890
[7]	IEEE Standard Association. IEEE Standard for Local and Metropolitan Area Net Works: Wireless Body Area Networks, Part15.6: 802.15.6-2012[S]. USA: IEEE Standard Association, 2012.
[8]	Otto C, Milenkovic A, Sander C, et al. System Architecture of a Wireless Body Area Sensor Network for Ubiquitous Health Monitoring[J]. Journal of Mobile Mutimedia, 2005, 1(4): 307-326.
[9]	孙彦赞, 姜玉凤, 吴雅婷, 等. 基于改进式随机不完全着色算法的无线体域网干扰协调[J]. 电子信息学报, 2015, 37(9): 2204-2210. Sun Yan-zan, Jiang Yu-feng, Wu Ya-ting, et al. Improved Random Incomplete Coloring for Interference Mitigation in Wireless Body Area Networks[J]. Journal of Electronics & Information Technology, 2015, 37(9): 2204-2210.
[10]	王静贤. 无线体域网间基于博弈论的干扰协调关键技术研究[D]. 北京: 北京邮电大学, 2018.
[11]	Kazemi R, Vesilo R, Dutkiewicz E, et al. Internetwork Interference Mitigation in Wireless Body Area Networks Using Power Control Games[C]//IEEE 2010 10th International Symposium on Communications and Information Technologies(ISCIT). Tokyo, Japan: IEEE, 2010: 81-86.
[12]	Ibarra E, Antonopoulos A, Kartsakli E, et al. Joint Power-QoS Control Scheme for Energy Harvesting Body Sensor Nodes[C]//Proceeding of International Conference on Communications(ICC). Istanbul: IEEE, 2011: 2133-2138.
[13]	方勇军, 王云景, 喻锡成, 等. 潜水员水下心率实时监测系统的设计[J]. 医疗卫生装备, 2011(5): 13-14. doi: 10.3969/j.issn.1003-8868.2011.05.005 Fang Yong-jun, Wang Yun-jing, Yu Xi-cheng, et al. Design pf Real-time Heart Rate Monitoring for Underwater Diver[J]. Chinese Medical Equipment Journal, 2011(5): 13-14. doi: 10.3969/j.issn.1003-8868.2011.05.005
[14]	Xiao S, Dhamdhere A, Sivaraman V, et al. Transmission Power Control in Body Area Sensor Networks for Healthcare Monitoring[J]. IEEE Journal on Selected Areas in Communications, 2009, 27(1): 37-48. doi: 10.1109/JSAC.2009.090105
[15]	Stuart E, Moh M, Moh T S. Privacy and Security in Biomedical Applications of Wireless Sensor Networks[C]//1st International Symposium on Applied Sciences in Biomedical and Gemmunication Technologies. Aalborg, Denmark: IEEE, 2008.
[16]	Bao S D, Zhang Y T. A Design Proposal of Security Architecture for Medical Body Sensor Networks[C]//International Workshop on Wearable and Implantable Body Sensor Networks. Cambridge, MA: IEEE, 2006.