Design And Performance Analysis of Human Body Communication Digital Transceiver for Wireless Body Area Network Applications
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Abstract
Human Body Communication (HBC) has emerged as a promising paradigm for secure, low-power, and high-efficiency data transmission in Wireless Body Area Networks (WBANs). This study presents the design and performance analysis of a digital transceiver architecture tailored for HBC-based WBAN applications. The proposed system integrates a robust baseband processing framework with efficient modulation techniques and synchronization mechanisms to enhance communication reliability over the human body channel. A comprehensive evaluation is conducted using FPGA-based implementation, considering key performance metrics such as bit error rate (BER), power consumption, and data rate. The design aligns with IEEE 802.15.6 standards and demonstrates improved performance compared to existing transceiver architectures. Analytical modeling, simulation results, and comparative studies validate the effectiveness of the proposed system. The research further explores optimization strategies using AI-inspired approaches for adaptive communication. The findings indicate that the proposed architecture achieves significant improvements in energy efficiency and communication reliability, making it suitable for next-generation healthcare and wearable applications.
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1. A. Ali, A. Shalaby, M. S. Sayed, and M. Abo-Zahhad, “Low power HBC PHY baseband transceiver for IEEE 802.15.6 WBAN,” in Proceedings of the International Conference on Microelectronics, ICM, Dec. 2018, vol. 2017-Decem, pp. 1–4, doi: 10.1109/ICM.2017.8268857.
2. A. Ali, K. Inoue, A. Shalaby, M. S. Sayed, and S. M. Ahmed, “Efficient autoencoder-based human body communication transceiver for WBAN,” IEEE Access, vol. 7, pp. 117196–117205, 2019, doi: 10.1109/ACCESS.2019.2936796.
3. A. M. El-Mohandes, A. Shalaby, and M. S. Sayed, “Robust low power NB PHY baseband transceiver for IEEE 802.15.6 WBAN,” in Proceedings of the International Conference on Microelectronics, ICM, Dec. 2016, vol. 2016-March, pp. 91–94, doi: 10.1109/ICM.2015.7437995.
4. C. C. Chung, D. Sheng, and M. H. Li, “Design of a human body channel communication transceiver using convolutional codes,” Microelectronics Journal, vol. 100, Jun. 2020, Art. no. 104783, doi: 10.1016/j.mejo.2020.104783.
5. C. C. Chung, R. H. Chang, and M. H. Li, “An FPGA-based transceiver for human body channel communication using walsh codes,” in 2018 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2018, 2018, pp. 1–2.
6. C. Le Van, G. N. Nguyen, T. H. Nguyen, T. S. Nguyen, and D. N. Le, “An effective RGB color selection for complex 3D object structure in scene graph systems,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 6, pp. 5951–5964, Dec. 2020, doi: 10.11591/ijece.v10i6.pp5951-5964.
7. C. Li, X. Geng, J. Yuan, and T. Sun, “Performance analysis of IEEE 802.15.6 MAC protocol in beacon mode with superframes,” KSII Transactions on Internet and Information Systems, vol. 7, no. 5, pp. 1108–1130, May 2013, doi: 10.3837/tiis.2013.05.010.
8. D. Yuan, G. Zheng, H. Ma, J. Shang, and J. Li, “An adaptive MAC protocol based on IEEE802.15.6 for wireless body area networks,” Wireless Communications and Mobile Computing, vol. 2019, pp. 1–9, Feb. 2019, doi: 10.1155/2019/3681631.
9. H. Lee, S.-J. Song, N. Cho, J. Bae, and H.-J. Yoo, “Human body communication transceiver for energyefficient BAN,” in Integrated Circuits and Systems, 2015, pp. 281–311.
10. J. F. Zhao, X. M. Chen, B. D. Liang, and Q. X. Chen, “A review on human body communication: Signal propagation model, communication performance, and experimental issues,” Wireless Communications and Mobile Computing, vol. 2017, pp. 1–15, Oct. 2017, doi: 10.1155/2017/5842310.
11. J. M. Ventura, A. Fajardo, and R. P. Medina, “Priority based data transmission for WBAN,” International Journal of Electrical and Computer Engineering (IJECE), vol. 9, no. 5, pp. 3671–3677, Oct. 2019, doi: 10.11591/ijece.v9i5.pp3671-3677.
12. K. Park, M. J. Jeong, J. J. Baek, S. W. Kim, and Y. T. Kim, “BER performance of human body communications using FSDT,” IEICE Transactions on Communications, vol. E102B, no. 3, pp. 522–527, Mar. 2019, doi: 10.1587/transcom.2018EBP3053.
13. M. Eddabbah, C. Eddine, A. I. T. Zaouiat, and M. Moussaoui, “Body area networks IEEE802.15.6 HBC physical layer performances : bit error rate and message integrity,” International Journal of Computer Networks and Communications Security, vol. 4, no. 7, pp. 207–212, 2016.
14. M. Hämäläinen and X. Li, “Recent advances in body area network technology and applications,” International Journal of Wireless Information Networks, vol. 24, no. 2, pp. 63–64, Mar. 2017, doi: 10.1007/s10776-017-0348-1.
15. M. J. Park et al., “Low-power, high data-rate digital capsule endoscopy using human body communication,” Applied Sciences (Switzerland), vol. 8, no. 9, Aug. 2018, doi: 10.3390/app8091414.
16. M. Keranen et al., “IEEE802.15.6-based multi-accelerometer WBAN system for monitoring Parkinson’s disease,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Jul. 2013, pp. 1656–1659, doi: 10.1109/EMBC.2013.6609835.
17. M. Salayma, A. Al-Dubai, I. Romdhani, and Y. Nasser, “Wireless body area network (WBAN): A survey on reliability, fault tolerance, and technologies coexistence,” ACM Computing Surveys, vol. 50, no. 1, pp. 1–38, Apr. 2017, doi: 10.1145/3041956.
18. M. Seyedi, B. Kibret, D. T. H. Lai, and M. Faulkner, “A survey on intrabody communications for body area network applications,” IEEE Transactions on Biomedical Engineering, vol. 60, no. 8, pp. 2067–2079, Aug. 2013, doi: 10.1109/TBME.2013.2254714.
19. P. K. Manchi, R. Paily, and A. K. Gogoi, “Design and implementation of low-power digital baseband transceivers for IEEE802.15.6 Standard,” in Proceedings of the IEEE International Conference on VLSI Design, Jan. 2016, vol. 2016-March, pp. 581–582, doi: 10.1109/VLSID.2016.19.
20. P. Mathew, L. Augustine, D. Kushwaha, V. Desalphine, and A. David Selvakumar, “Implementation of NB PHY transceiver of IEEE 802.15.6 WBAN on FPGA,” in 2015 International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI-SATA), Jan. 2015, pp. 1–6, doi: 10.1109/VLSI-SATA.2015.7050452.
21. S. Vijayalakshmi and V. Nagarajan, “Design and implementation of low power high-efficient transceiver for body channel communications,” Journal of Medical Systems, vol. 43, no. 4, pp. 1–11, Feb. 2019, doi: 10.1007/s10916-019-1204-x.
22. V. Deeban Chakravarthy and B. Amutha, “Path based load balancing for data center networks using SDN,” International Journal of Electrical and Computer Engineering (IJECE), vol. 9, no. 4, pp. 3279–3285, Aug. 2019, doi: 10.11591/ijece.v9i4.pp3279-3285.
23. Y. H. Liu et al., “A 1.9nJ/b 2.4GHz multistandard (Bluetooth low energy/Zigbee/IEEE802.15.6) transceiver for personal/body-area networks,” in Digest of Technical Papers - IEEE International Solid-State Circuits Conference, Feb. 2013, vol. 56, pp. 446–447, doi: 10.1109/ISSCC.2013.6487808.
24. Y. Liang, Y. Zhou, and Y. Li, “The design and implementation of IEEE 802.15.6 baseband on FPGA,” in IFMBE Proceedings, vol. 42, 2014, pp. 231–235.
25. Y. Shimizu, D. Anzai, and J. Wang, “Performance evaluation on FPGA-implemented UWB-IR receiver for in-body to out-of-body communication systems,” in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Aug. 2014, pp. 6981–6984, doi: 10.1109/EMBC.2014.6945234.
26. Z. Wei, W. Chen, M. Yang, Y.-M. Gao, Z. L. Vasic, and M. Cifrek, “Design and implementation of galvanic coupling intra-body communication transceivers using differential phase shift keying,” in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 2020, pp. 1–6, doi: 10.1109/I2MTC43012.2020.9129050.