Design an Algorithms for Body Sensor Network Architecture for Dynamic WBAN Scenarios
Keywords:
WBAN, environments, scenario, application, cryptographic algorithmsAbstract
Data security and reliable transmission are both complicated by the ever-changing nature of WBAN settings. The goal of this study is to develop and test algorithms for safe and dependable data transfer in the ever-changing settings of WBANs. The research examines the relevance of the most important security needs across a variety of use cases, such as data confidentiality, authentication, integrity, and freshness. In this study, we compare and contrast five distinct cryptographic algorithms developed for different use cases: hybrid encryption, erasure coding, trust-based routing, blockchain-enhanced transmission, and cognitive radio networks.
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References
Subramanian, kanaga suba raja & jebarajan, t. Reliable and secured data transmission in wireless body area networks (wban). European journal of scientific research. Vol. 82. Issue 2, Page No. 173-184. 2012
Elias, Jocelyne & jarray, Abdallah & Salazar, Javier & karmouch, Ahmed & mehaoua, Ahmed. A reliable design of wireless body area networks. Globecom - IEEE global telecommunications conference. Vol. 32, Issue 11, Page No. 2742-2748. 2013 10.1109/glocom.2013.6831489.
Liu, lifei & haipeng, peng & yang, yixian & cheng, shizhuo. (2018). Flexible and secure data transmission system based on semi-tensor compressive sensing in wireless body area networks. Ieee internet of things journal. Vol. 87, Issue 2, Page No. 1-1. 2018, 10.1109/jiot.2018.2881129.
Subramanian, Kananga Suba raja & kiruthika, Usha. An energy efficient method for secure and reliable data transmission in wireless body area networks using relaodv. Wireless personal communications. Vol. 83. Issue 2, Page No. 1123-1127, 2015, 10.1007/s11277-015-2577-x.
Kathuria, madhumita & gambhir, sapna. Reliable packet transmission in wban with dynamic and optimized qos using multi-objective lion cooperative hunt optimizer. Multimedia tools and applications. Vol. 80. Issue 32, Page No. 1-44. 2021, 10.1007/s11042-020-10144-9.
Saha, ramesh & biswas, suparna & sarmah, satyajit & karmakar, sushanta & das, pranesh. Design and implementation of routing algorithm to enhance network lifetime in WBAN. Wireless personal communications. Vol. 118. Issue 21, Page No. 1-38. 2020, 10.1007/s11277-020-08054-y.
Mkongwa, kefa & zhang, chaozhu & liu, qingling. A reliable data transmission mechanism in coexisting IEEE 802.15.4-beacon enabled wireless body area networks. Wireless personal communications. Vol. 128. Issue 43, Page no. 1-22. 2022, 10.1007/s11277-022-09987-2.
Movassaghi, samaneh & majidi, akbar & jamalipour, abbas & smith, david & abolhasan, mehran. Enabling interference-aware and energy-efficient coexistence of multiple wireless body area networks with unknown dynamics. Ieee access. Vol. 4. Issue 2, Page No. 1-1. 2016, 10.1109/access.2016.2577681.
Ahamed, rafi & rao, bhoopal. Design of cryptographically secure aes like s-box using second order reversible cellular automata for wireless body area network applications. Healthcare technology letters. Vol. 3. Issue 10. Page No. 1123-1127, 2016, 1049/htl.2016.0033.
Zang, weilin & li, ye. Gait cycle driven transmission power control scheme for wireless body area network. Ieee journal of biomedical and health informatics. Vol. 32, Issue 1, Pp. 10-18, 2017, 1109/jbhi.2017.2688401.
Guo, Y., Wu, D., Liu, G., Zhao, G., Huang, B., & Wang, L. A low-cost body inertial-sensing network for practical gait discrimination of hemiplegia patients. Telemedicine and e-Health, Vol. 18, Issue 10, Page No. 748-754. 2012
GK, R., & Baskaran, K. A survey on futuristic health care system: WBANs. Procedia Engineering, Vol. 30, Issue 4, Page No. 889-896. 2012
Marinkovic, S., & Popovici, E. Ultra-low power signal-oriented approach for wireless health monitoring. Sensors, Vol. 12, Issue 6, Page No. 7917-7937. 2012
Custodio, V., Herrera, F. J., López, G., & Moreno, J. I. A review on architectures and communications technologies for wearable health-monitoring systems. Sensors, Vol. 12, Issue 10, Page No. 13907-13946. 2012
Nie, Z., Ma, J., Li, Z., Chen, H., & Wang, L. Dynamic propagation channel characterization and modeling for human body communication. Sensors, Vol. 12, Issue 12, Page No. 17569-17587. 2012
Felisberto, F., Costa, N., Fdez-Riverola, F., & Pereira, A. Unobstructive Body Area Networks (BAN) for efficient movement monitoring. Sensors, Vol. 12, Issue 9, 12473-12488. 2012
Arefin, M. T., Ali, M. H., & Haque, A. F. Wireless body area network: An overview and various applications. Journal of Computer and Communications, Vol. 5, Issue 7, Page No. 53-64. 2017
Rodenas-Herraiz, D., Garcia-Sanchez, A. J., Garcia-Sanchez, F., & Garcia-Haro, J. Current trends in wireless mesh sensor networks: A review of competing approaches. Sensors, Vol. 13, Issue 5, Page No. 5958- 5995. 2013
Blumrosen, G., & Luttwak, A. Human body parts tracking and kinematic features assessment based on RSSI and inertial sensor measurements. Sensors, Vol. 13, Issue 9, Page No. 11289-11313. 2013
Saleem, S., Ullah, S., & Kwak, K. S. A study of IEEE 802.15. 4 security frameworks for wireless body area networks. Sensors, Vol. 11, Issue 2, 1383-1395. 2011
Guo, Y., Wu, D., Liu, G., Zhao, G., Huang, B., & Wang, L. A low-cost body inertial-sensing network for practical gait discrimination of hemiplegia patients. Telemedicine and e-Health, Vol. 18, Issue 10, Page No. 748-754. 2012
GK, R., & Baskaran, K. A survey on futuristic health care system: WBANs. Procedia Engineering, Vol. 30, Issue 31, Page no. 889-896. 2012
Marinkovic, S., & Popovici, E. Ultra-low power signal-oriented approach for wireless health monitoring. Sensors, Vol. 12, Issue 6, Page no. 7917-7937. 2012
K Shankar et al., “Improving the security and authentication of the cloud with IOT using hybrid optimization-based quantum hash function,” Journal of Intelligent Systems and Internet of Things, vol. 1, Issue no. 2, pp. 61–1, 2021.
S. Farrag and W. Alexan, “Secure 3d data hiding technique based on a mesh traversal algorithm,” Multimedia Tools and Applications, vol. 79, Issue no. 39, Page No. 289–29 303, 2020.
P. Yang, Y. Lao, and P. Li, “Robust watermarking for deep neural networks via bi-level optimization,” in Proceedings of the IEEE/CVF International Conference on Computer Vision, Vol. 2021, Issue 43, Page No.14841–14850. 2021
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