Proceedings of International Conference on Applied Innovation in IT
2025/06/27, Volume 13, Issue 2, pp.25-42

Wireless Body Sensor Networks: A Review of Energy-Saving Techniques and Security Challenges


Tuqa Kareem Jebur, Peñalver Lourdes, Jaime Lloret and Haider K. Hoomod


Abstract: There are many technologies used in monitoring patients and providing healthcare to them. One of the most important systems that have been used is wireless body sensor networks. These networks collect a set of physiological data related to the body and then process it. However, this type of network faces many problems, one of which is the small size of this type of network, which leads to energy consumption. Therefore, this type of problem leads to short battery life of the sensor node. Therefore, this type of paper has been studied for the purpose of analysing or providing current improvements in energy efficiency. Energy is also consumed when security is provided in because this type of processor requires consuming a large amount of energy. Therefore, this paper was presented, which covered research from 2019 to 2024. This research focused on providing key solutions to solve the energy problem, as well as the energy-saving protocols used, the hybrid methods that were used, and the machine learning processes that were used to improve energy methodologies and also provide security. For the network, the results revealed during this type of studies that the network lifetime was improved by 60 to 70% using hybrid algorithms, while routing algorithms based on energy consumption processes that are based on groups have a consumption rate of 30 to 50% compared to standard methods. In addition, there are security features that play a fundamental role in this type of network, such as the use of encryption and simple authentication procedures, which played an important role in achieving a balance between energy consumption and data protection. These references or the results obtained and the comparison of research among them are considered a reference for practitioners who seek to improve security and energy consumption in wireless sensor networks.

Keywords: WBSN, Power Consumption, Energy Efficiency, Security, Data Transmission Communication Protocols, Biomedical Sensor.

DOI: 10.25673/120391

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References:

  1. A. S. Jaber and A. K. Idrees, “Wireless Body Sensor Networks: Applications, Challenges, Patient Monitoring, Decision Making, and Machine Learning in Medical Applications,” in AI and IoT for Sustainable Development in Emerging Countries: Challenges and Opportunities, Z. Boulouard, M. Ouaissa, M. Ouaissa, and S. El Himer, Eds., Cham: Springer International Publishing, 2022, pp. 417-437, [Online]. Available: https://doi.org/10.1007/978-3-030-90618-4_20.
  2. A. Petrenko, “Approaches for WSN (Wireless Sensor Networks) Standardization and Their Interoperability in Combining into a Global Network,” in 2023 IEEE East-West Design & Test Symposium (EWDTS), 2023, pp. 1-4, [Online]. Available: https://doi.org/10.1109/EWDTS59469.2023.10297078.
  3. Z. Xue, L. Wu, J. Yuan, G. Xu, and Y. Wu, “Self-Powered Biosensors for Monitoring Human Physiological Changes,” Biosensors, vol. 13, no. 2, Feb. 2023, [Online]. Available: https://doi.org/10.3390/bios13020236.
  4. M. S. Akbar, Z. Hussain, M. Sheng, and R. Shankaran, “Wireless Body Area Sensor Networks: Survey of MAC and Routing Protocols for Patient Monitoring under IEEE 802.15.4 and IEEE 802.15.6,” Sensors, vol. 22, no. 21, 2022, [Online]. Available: https://doi.org/10.3390/s22218279.
  5. P. Bedi, S. Das, S. B. Goyal, A. S. Rajawat, and M. Kumar, “Energy-Efficient and Congestion-Thermal Aware Routing Protocol for WBAN,” Wireless Pers. Commun., 2024, [Online]. Available: https://doi.org/10.1007/s11277-024-11481-w.
  6. G. Yang, X.-W. Wu, Y. Li, and Q. Ye, “Energy efficient protocol for routing and scheduling in wireless body area networks,” Wireless Networks, vol. 26, no. 2, pp. 1265-1273, 2020, [Online]. Available: https://doi.org/10.1007/s11276-019-02150-z.
  7. Y. Qu, G. Zheng, H. Ma, X. Wang, B. Ji, and H. Wu, “A survey of routing protocols in WBAN for healthcare applications,” Sensors (Switzerland), vol. 19, no. 7, 2019, [Online]. Available: https://doi.org/10.3390/s19071638.
  8. A. Rady, E. L. S. M. El-Rabaie, M. Shokair, and N. Abdel-Salam, “Comprehensive survey of routing protocols for Mobile Wireless Sensor Networks,” Int. J. Commun. Syst., vol. 34, no. 15, 2021, [Online]. Available: https://doi.org/10.1002/dac.4942.
  9. Z. Huanan, X. Suping, and W. Jiannan, “Security and application of wireless sensor network,” Procedia Comput. Sci., vol. 183, pp. 486-492, 2021, [Online]. Available: https://doi.org/10.1016/j.procs.2021.02.088.
  10. S. Khernane, S. Bouam, and C. Arar, “Renewable Energy Harvesting for Wireless Sensor Networks in Precision Agriculture,” Int. J. Networked Distrib. Comput., vol. 12, no. 1, pp. 8-16, 2024, [Online]. Available: https://doi.org/10.1007/s44227-023-00017-6.
  11. S. Abdullah, M. N. Asghar, M. Fleury, and Z. Mushtaq, “Network-Coding-Enabled and QoS-Aware Message Delivery for Wireless Sensor Networks,” Wireless Pers. Commun., vol. 132, no. 1, pp. 329-359, 2023, [Online]. Available: https://doi.org/10.1007/s11277-023-10613-y.
  12. A. S. Rajawat, S. B. Goyal, P. Bedi, C. Verma, C. O. Safirescu, and T. C. Mihaltan, “Sensors Energy Optimization for Renewable Energy-Based WBANs on Sporadic Elder Movements,” Sensors, vol. 22, no. 15, 2022, [Online]. Available: https://doi.org/10.3390/s22155654.
  13. M. N. Alatawi, “A Hybrid Cryptography and LogiXGBoost Model for Intelligent and Privacy Protection in Wireless Body Sensor Networks (WBSNS),” Int. J. Comput. Networks Appl., vol. 10, no. 2, pp. 166-179, 2023, [Online]. Available: https://doi.org/10.22247/ijcna/2023/220734.
  14. D. Mariappan, R. Saminathan, and K. M. Baalamurugan, “Secure Patient Data Monitoring And Efficient Routing Optimization Using A Hyperelliptic Curve Cryptography With Fuzzy–Based Priority In Wbsn,” Recent Adv. Electr. Electron. Eng., 2023, [Online]. Available: https://api.semanticscholar.org/CorpusID:261024779.
  15. J. Iqbal et al., “Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain,” J. Sensors, vol. 2022, 2022, [Online]. Available: https://doi.org/10.1155/2022/2419992.
  16. G. Samara, A. Almomani, M. Alauthman, and M. Alkasassbeh, “Energy efficiency Wireless Sensor Networks Protocols: a Survey,” in 2022 International Conference on Emerging Trends in Computing and Engineering Applications (ETCEA), 2022, pp. 1-6, [Online]. Available: https://doi.org/10.1109/ETCEA57049.2022.10009675.
  17. S. Ahmadzadeh, “Study of Energy-Efficient Biomedical Data Compression Methods in the Wireless Body Area Networks (WBANs) and Remote Healthcare Networks,” Int. J. Wirel. Inf. Networks, vol. 30, no. 3, pp. 252-269, 2023, [Online]. Available: https://doi.org/10.1007/s10776-023-00599-6.
  18. P. C. Chen, S. J. Ruan, and Y. W. Tu, “Power-management strategies in sEMG wireless body sensor networks based on computation allocations: A case study for fatigue assessments,” IEEE Access, vol. 8, pp. 181366-181374, 2020, [Online]. Available: https://doi.org/10.1109/ACCESS.2020.3028706.
  19. N. Bouadem, R. Kacimi, and A. Tari, “Impact of Duty-Cycling: Towards Mostly-Off Sensor Networks,” 2020, pp. 1557-1579, [Online]. Available: https://doi.org/10.4018/978-1-7998-2454-1.ch073.
  20. S. Ali, N. Giweli, A. Dawoud, and P. P.W.C, “Data Aggregation Techniques in Wireless Sensors Networks: A survey,” 2021, pp. 1-9, [Online]. Available: https://doi.org/10.1109/CITISIA53721.2021.9719939.
  21. I. Surenther, K. P. Sridhar, and M. Kingston Roberts, “Maximizing energy efficiency in wireless sensor networks for data transmission: A Deep Learning-Based Grouping Model approach,” Alexandria Eng. J., vol. 83, pp. 53-65, 2023, [Online]. Available: https://doi.org/10.1016/j.aej.2023.10.016.
  22. Y. Hao, L. Peng, H. Lu, M. M. Hassan, and A. Alamri, “Energy harvesting based body area networks for smart health,” Sensors (Switzerland), vol. 17, no. 7, pp. 1-10, 2017, [Online]. Available: https://doi.org/10.3390/s17071602.
  23. Y. Zhang, “Energy Harvesting Technologies in Wireless Sensor Networks,” in Encyclopedia of Wireless Networks, X. (Sherman) Shen, X. Lin, and K. Zhang, Eds., Cham: Springer International Publishing, 2018, pp. 1-5, [Online]. Available: https://doi.org/10.1007/978-3-319-32903-1_262-1.
  24. F. Akhtar and M. H. Rehmani, “Energy Harvesting for Self-Sustainable Wireless Body Area Networks,” IT Prof., vol. 19, no. 2, pp. 32-40, 2017, [Online]. Available: https://doi.org/10.1109/MITP.2017.34.
  25. Z. Xu, Y. Guo, and J. Homer Saleh, “Multi-objective optimization for sensor placement: An integrated combinatorial approach with reduced order model and Gaussian process,” Measurement, vol. 187, p. 110370, 2022, [Online]. Available: https://doi.org/10.1016/j.measurement.2021.110370.
  26. Ł. Januszkiewicz, P. Di Barba, and S. Hausman, “Multi-objective optimization of a wireless body area network for varying body positions,” Sensors (Switzerland), vol. 18, no. 10, 2018, [Online]. Available: https://doi.org/10.3390/s18103406.
  27. D. A. Hammood, H. A. Rahim, A. Alkhayyat, and R. B. Ahmad, “Review: Optimization algorithms in Wireless Body Area Networks,” IOP Conf. Ser. Mater. Sci. Eng., vol. 745, no. 1, 2020, [Online]. Available: https://doi.org/10.1088/1757-899X/745/1/012054.
  28. N. Bilandi, H. K. Verma, and R. Dhir, “Performance and evaluation of energy optimization techniques for wireless body area networks,” Beni-Suef Univ. J. Basic Appl. Sci., vol. 9, no. 1, p. 38, 2020, [Online]. Available: https://doi.org/10.1186/s43088-020-00064-w.
  29. E. El-Adawi, E. Essa, M. Handosa, and S. Elmougy, “Wireless body area sensor networks based human activity recognition using deep learning,” Sci. Rep., vol. 14, no. 1, pp. 1-13, 2024, [Online]. Available: https://doi.org/10.1038/s41598-024-53069-1.
  30. D. S. Bhatti et al., “A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy,” Sensors, vol. 22, no. 20, pp. 1-47, 2022, [Online]. Available: https://doi.org/10.3390/s22207722.
  31. C. V. Subbaiah and K. Govinda, “Energy-aware and trust-based cluster head selection in healthcare WBANs with enhanced GWO optimization,” Computing, 2024, [Online]. Available: https://doi.org/10.1007/s00607-024-01339-1.
  32. S. Sharma, M. M. Tripathi, and V. M. Mishra, “Comparative Analysis of Routing Protocols in Wireless Body Area Network (WBAN),” in Proc. 2nd Int. Conf. Innov. Pract. Technol. Manag. ICIPTM 2022, no. April, pp. 703-706, 2022, [Online]. Available: https://doi.org/10.1109/ICIPTM54933.2022.9754202.
  33. A. Chandel, V. S. Chouhan, and S. Sharma, “A Survey on Routing Protocols for Wireless Sensor Networks,” in Advances in Information Communication Technology and Computing, V. Goar, M. Kuri, R. Kumar, and T. Senjyu, Eds., Singapore: Springer Singapore, 2021, pp. 143-164.
  34. P. Thippun, A. Booranawong, and D. Buranapanichkit, “A Priority-based Data Transmission for Energy Efficiency MAC Protocol with Wireless Body Area Networks,” ECTI Trans. Comput. Inf. Technol., vol. 17, no. 2, pp. 183-191, 2023, [Online]. Available: https://doi.org/10.37936/ecti-cit.2023172.249022.
  35. M. N. Vadlamudi and M. A. Hussian, “An Intelligent Energy-Efficient Routing Protocol for Wearable Body Area Networks,” in Intelligent Computing and Applications, B. N. K. Rao, R. Balasubramanian, S.-J. Wang, and R. Nayak, Eds., Singapore: Springer Nature Singapore, 2023, pp. 249-257.
  36. N. Duhan, “Optimized Energy Consumption by Optimal Routing Algorithm in Wireless Body Area Network,” 2023.
  37. S. M. Shahrokhi, “Energy-Saving Mac Protocol Design,” 2013.
  38. S. R. Chavva and R. S. Sangam, “An energy-efficient multi-hop routing protocol for health monitoring in wireless body area networks,” Netw. Model. Anal. Heal. Informatics Bioinforma., vol. 8, no. 1, p. 21, 2019, [Online]. Available: https://doi.org/10.1007/s13721-019-0201-9.
  39. T. Samal and M. R. Kabat, “Energy Efficient Real Time Reliable MAC Protocol for Wireless Body Area Network,” in 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019, pp. 1-6, [Online]. Available: https://doi.org/10.1109/ICCCNT45670.2019.8944431.
  40. A. Sundar Raj and M. Chinnadurai, “Energy efficient routing algorithm in wireless body area networks for smart wearable patches,” Comput. Commun., vol. 153, pp. 85-94, 2020, [Online]. Available: https://doi.org/10.1016/j.comcom.2020.01.069.
  41. A. A. Ibrahim, A. Tijani Salawudeen, O. N. UÇAN, and P. U. Okorie, “A Novel Energy-conscious threshold-based dAta Transmission routing protocol for wireless body area network (NEAT),” in 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2020, pp. 1-5, [Online]. Available: https://doi.org/10.1109/HORA49412.2020.9152844.
  42. S. Y. Park, D. Y. Yun, T. Kim, J. Y. Lee, and D. Lee, “An energy efficient enhanced dual-fuzzy logic routing protocol for monitoring activities of the elderly using body sensor networks,” Electron., vol. 9, no. 5, 2020, [Online]. Available: https://doi.org/10.3390/electronics9050723.
  43. N. Marriwala, “Reliable and Energy-Efficient Data Transfer Routing in Wireless Body Area Networks,” in Mobile Radio Communications and 5G Networks, N. Marriwala, C. C. Tripathi, D. Kumar, and S. Jain, Eds., Singapore: Springer Singapore, 2021, pp. 757-769.
  44. F. Rismanian Yazdi, M. Hosseinzadeh, and S. Jabbehdari, “A Hybrid Protocol for Energy Management in Wireless Body Area Networks,” Wireless Pers. Commun., vol. 121, no. 4, pp. 2973-2987, 2021, [Online]. Available: https://doi.org/10.1007/s11277-021-08859-5.
  45. R. Hussein and I. Ali, “Analysis of Energy Consumption in Wireless Body Area Network Usingmac Protocols (baseline And Smac),” J. Duhok Univ., vol. 25, no. 1, pp. 103-112, 2022, [Online]. Available: https://doi.org/10.26682/sjuod.2022.25.1.13.
  46. C. V. Subbaiah and K. Govinda, “Implementing routing protocol for energy-aware mobile Ad Hoc networks for WBAN-based healthcare systems,” Soft Comput., pp. 1-30, 2023, [Online]. Available: https://doi.org/10.1007/s00500-023-07975-7.
  47. S. S. Gupta, N. Gupta, and B. Verma, “An Enhanced Energy Efficient Protocol for Wireless Body Area Network,” in 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022, pp. 1-5, [Online]. Available: https://doi.org/10.1109/ICAECT54875.2022.9807836.
  48. M. N. Vadlamudi and A. H. M.D., “Design and implementation of energy-aware cross-layer routing protocol for wearable body area network,” Int. J. Pervasive Comput. Commun., vol. 18, no. 5, pp. 645-663, Jan. 2022, [Online]. Available: https://doi.org/10.1108/IJPCC-02-2021-0055.
  49. M. S. Chandana, K. R. Rao, D. S. Kumar, and G. B. Prakash, “Energy-efficient routing transmission for IoT based wireless body sensor network for health care monitoring system,” Int. J. Health Sci. (Qassim), vol. 6, no. April, pp. 5362-5376, 2022, [Online]. Available: https://doi.org/10.53730/ijhs.v6ns3.7101.
  50. S. Saha, P. C. N., N. Kumar, and D. K. Anvekar, “Energy Conservation in Wireless Body Area Network Using Optimal Route Selection and Node Configuration,” in 2023 International Conference on Data Science and Network Security (ICDSNS), 2023, pp. 1-6, [Online]. Available: https://doi.org/10.1109/ICDSNS58469.2023.10245674.
  51. A. Roshini and K. V. D. Kiran, “A lightweight DPT-MAC protocol to increase the network lifetime in wireless body area networks,” Int. J. Model. Simulation, Sci. Comput., vol. 0, no. 0, p. 2441011, 2023, [Online]. Available: https://doi.org/10.1142/S1793962324410113.
  52. M. A. Raayatpanah, A. A. Abyaneh, J. Elias, and A. Trotta, “Optimal reliable design of energy-efficient Wireless Body Area Networks,” Internet of Things, vol. 22, p. 100727, 2023, [Online]. Available: https://doi.org/10.1016/j.iot.2023.100727.
  53. A. Bhagya Lakshmi et al., “HT-WSO: A hybrid meta-heuristic approach-aided multi-objective constraints for energy efficient routing in WBANs,” Intell. Decis. Technol., vol. 18, pp. 1591-1614, 2024, [Online]. Available: https://doi.org/10.3233/IDT-220295.
  54. A. Rani, R. Kumar, and A. Ram, “An Energy Efficiency Enhanced through Duty Cycle based on Clusters in Wireless Body Area Network,” in 2024 3rd International conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC), 2024, pp. 47-51, [Online]. Available: https://doi.org/10.1109/PARC59193.2024.10486791.
  55. N. Azdad and M. Elboukhari, “A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless Body Area Networks,” Int. J. Comput. Networks Commun., vol. 16, no. 2, pp. 117-128, 2024, [Online]. Available: https://doi.org/10.5121/ijcnc.2024.16208.
  56. V. P. Thotakura, S. R. Chavva, and K. S. Naidana, “Hierarchical Sugeno-FIS based Multi-hop Routing Protocol for Health Monitoring in WBANs,” in 2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT), 2024, pp. 1-5, [Online]. Available: https://doi.org/10.1109/ICITIIT61487.2024.10580273.
  57. V. D. Gaikwad and S. Ananthakumaran, “A Review: Security and Privacy for Health Care Application in Wireless Body Area Networks,” Wireless Pers. Commun., vol. 130, no. 1, pp. 673-691, 2023, [Online]. Available: https://doi.org/10.1007/s11277-023-10305-7.
  58. R. Kaur, S. Shahrestani, and C. Ruan, “Security and Privacy of Wearable Wireless Sensors in Healthcare: A Systematic Review,” Comput. Networks Commun., 2024, [Online]. Available: https://doi.org/10.37256/cnc.2120243852.
  59. I. I. Al Barazanchi, W. Hashim, R. Thabit, R. Sekhar, P. Shah, and H. R. Penubadi, “Secure Trust Node Acquisition and Access Control for Privacy-Preserving Expertise Trust in WBAN Networks,” in Forthcoming Networks and Sustainability in the AIoT Era, J. Rasheed, A. M. Abu-Mahfouz, and M. Fahim, Eds., Cham: Springer Nature Switzerland, 2024, pp. 265-275.
  60. M. Azees, P. Vijayakumar, M. Karuppiah, and A. Nayyar, “An efficient anonymous authentication and confidentiality preservation schemes for secure communications in wireless body area networks,” Wireless Networks, vol. 27, no. 3, pp. 2119-2130, 2021, [Online]. Available: https://doi.org/10.1007/s11276-021-02560-y.
  61. F. Noor, T. A. Kordy, A. B. Alkhodre, O. Benrhouma, A. Nadeem, and A. Alzahrani, “Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption,” Wireless Commun. Mob. Comput., vol. 2021, 2021, [Online]. Available: https://doi.org/10.1155/2021/5986469.
  62. A. D. V and K. V, “Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications,” Pers. Ubiquitous Comput., vol. 27, no. 3, pp. 875-885, 2021, [Online]. Available: https://doi.org/10.1007/s00779-021-01546-z.
  63. K. R. S. Bharathi and R. Venkateswari, “A novel security enhancement mechanism in wireless body area networks using quantum cryptography,” in 7th International Conference on Computing in Engineering & Technology (ICCET 2022), 2022, pp. 244-249, [Online]. Available: https://doi.org/10.1049/icp.2022.0626.
  64. S. Vanjarapu, H. K. Yadagiri, S. Gedela, S. Suvvada, V. S. Prasanth Mylavarapu, and A. Sekar Rajasekaran, “A Secure Anonymous Authentication and Key Agreement Schemes for Wireless Body Area Networks,” in 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022, pp. 1-5, [Online]. Available: https://doi.org/10.1109/ICAECT54875.2022.9808073.
  65. M. Zia, M. S. Obaidat, K. Mahmood, S. Shamshad, M. A. Saleem, and S. A. Chaudhry, “A Provably Secure Lightweight Key Agreement Protocol for Wireless Body Area Networks in Healthcare System,” IEEE Trans. Ind. Informatics, vol. 19, no. 2, pp. 1683-1690, 2023, [Online]. Available: https://doi.org/10.1109/TII.2022.3202968.
  66. M. Kumar and S. Z. Hussain, “An efficient and secure mutual authentication protocol in wireless body area network,” EAI Endorsed Trans. Pervasive Heal. Technol., 2024, [Online]. Available: https://doi.org/10.4108/eetpht.9.3114.
  67. H. Pei, G. Wang, and G. He, “An Area-Efficient SM2 Cryptographic Engine for WBAN Security Enhancement,” in 2023 6th International Conference on Electronics Technology (ICET), 2023, pp. 646-651, [Online]. Available: https://doi.org/10.1109/ICET58434.2023.10212039.
  68. I. Ullah, M. A. Khan, A. M. Abdullah, F. Noor, N. Innab, and C. M. Chen, “Enabling Secure Communication in Wireless Body Area Networks with Heterogeneous Authentication Scheme,” Sensors, vol. 23, no. 3, pp. 1-16, 2023, [Online]. Available: https://doi.org/10.3390/s23031121.
  69. M. Jahan, F. T. Zohra, M. K. Parvez, U. Kabir, A. M. Al Radi, and S. Kabir, “An end-to-end authentication mechanism for Wireless Body Area Networks,” Smart Health, vol. 29, 2023, [Online]. Available: https://doi.org/10.1016/j.smhl.2023.100413.
  70. A. S. S, K. D. Devprasad, and R. S. J, “Enhancing security in Wireless Body Area Networks (WBANs) with ECC-based Diffie-Hellman Key Exchange algorithm (ECDH),” Technol. Health care Off. J. Eur. Soc. Eng. Med., Mar. 2024, [Online]. Available: https://doi.org/10.3233/THC-231614.
  71. I. Nagasundharamoorthi, P. Venkatesan, and P. Velusamy, “Hash message authentication codes for securing data in wireless body area networks,” Concurr. Comput. Pract. Exp., vol. 36, no. 5, p. e7934, 2024, [Online]. Available: https://doi.org/10.1002/cpe.7934.
  72. C. B and K. S. R. S, “Security In Wireless Body Area Network (WBAN) Using Blockchain,” IETE J. Res., vol. 70, no. 1, pp. 487-498, 2024, [Online]. Available: https://doi.org/10.1080/03772063.2023.2233472.
  73. S. Soderi, M. Särestöniemi, S. Fuada, M. Hämäläinen, M. Katz, and J. Iinatti, “Securing Hybrid Wireless Body Area Networks (HyWBAN): Advancements in Semantic Communications and Jamming Techniques,” in Digital Health and Wireless Solutions, Cham: Springer Nature Switzerland, 2024, pp. 369-387.
  74. M. Manickam and G. G. Devarajan, “An improved three factor authentication protocol for wireless body area networks,” Cyber Secur. Appl., vol. 3, p. 100062, 2025, [Online]. Available: https://doi.org/10.1016/j.csa.2024.100062.
  75. C. S. Nataraju, D. K. Sreekantha, and K. V. Sairam, “Hardware-realized secure transceiver for human body communication in wireless body area networks,” vol. 35, no. 1, pp. 601-609, 2024, [Online]. Available: https://doi.org/10.11591/ijeecs.v35.i1.pp601-609.

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