Abstract
The Wireless Body Area Networks (WBANs) provide an unprecedented opportunity for ubiquitous real-time health-care and fitness monitoring without impairing the activities of the user. Furthermore, meeting the quality of service (QoS) requirements, i.e., throughput, delay and packet loss rate in WBAN, is a challenge due to the lossy channel, resource-restricted nodes and the transmission of data in the highly dynamic situations. In the proposed work, an optimized hybrid technique of Genetic algorithm (GA) with BAT algorithm (GABAT) is presented to achieve QoS metrics. The hybrid GABAT meticulously adjusts the transmission rates at each sensor node for each posture taking into account both the QoS metric constraint and the dynamic link constraint. The proposed scheme gives higher priority to the emergency packets than the normal packets to support the QoS requirements. The results exhibit that the proposed GABAT attains maximum fitness value in less iterations as compared to GA and BAT optimizations.












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References
Astrin, A. (2012). IEEE standard for local and metropolitan area networks part 15.6: Wireless body area networks. IEEE Std 802.15.6.
Boumaiz, M., El Ghazi, M., Mazer, S., Fattah, M., Bouayad, A., El Bekkali, M., et al. (2019). Energy harvesting based wbans: EH optimization methods. Procedia Computer Science, 151, 1040–1045.
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014). A survey on wireless body area networks: Technologies and design challenges. IEEE Communications Surveys and Tutorials, 16(3), 1635–1657.
Crosby, G. V., Chin, C. A., Ghosh, T., & Murimi, R. (2015). Wireless body area networks in mhealth. In S. Fox & M. Duggan (Eds.), Mobile health (pp. 873–915). Berlin: Springer.
Esteves, V., Antonopoulos, A., Kartsakli, E., Puig-Vidal, M., Miribel-Català, P., & Verikoukis, C. (2015). Cooperative energy harvesting-adaptive mac protocol for wbans. Sensors, 15(6), 12635–12650.
Farej, Z. K., & Abdul-Hameed, A. M. (2015). Performance comparison among (star, tree and mesh) topologies for large scale WSN based IEEE 802.15.4 standard. International Journal of Computer Applications, 124(6), 41–44.
Ghosh, A., Khalid, S., Harigovindan, V., et al. (2015). Performance analysis of wireless body area network with thermal energy harvesting. In 2015 global conference on communication technologies (GCCT) (pp. 916–920). IEEE.
Gould, P. A., Krahn, A. D., Canadian Heart Rhythm Society Working Group on Device Advisories, et al. (2006). Complications associated with implantable cardioverter–defibrillator replacement in response to device advisories. JAMA, 295(16), 1907–1911.
Guo, Q., Liu, B., Chen, C. W. (2016). A two-layer and multi-strategy framework for human activity recognition using smartphone. In 2016 IEEE International Conference on Communications (ICC) (pp. 1–6). IEEE.
Ha, B. W., Park, J. A., Jin, H. J., & Cho, C. S. (2015). Energy transfer and harvesting for rf-bio applications. In 2015 IEEE MTT-S 2015 international microwave workshop series on RF and wireless technologies for biomedical and healthcare applications (IMWS-BIO) (pp 54–55). IEEE.
Ibarra, E., Antonopoulos, A., Kartsakli, E., Rodrigues, J. J., & Verikoukis, C. (2016). Qos-aware energy management in body sensor nodes powered by human energy harvesting. IEEE Sensors Journal, 16(2), 542–549.
Kansal, A., Hsu, J., Zahedi, S., & Srivastava, M. B. (2007). Power management in energy harvesting sensor networks. ACM Transactions on Embedded Computing Systems (TECS), 6(4), 32.
Khaligh, A., Zeng, P., & Zheng, C. (2010). Kinetic energy harvesting using piezoelectric and electromagnetic technologies—State of the art. IEEE Transactions on Industrial Electronics, 57(3), 850–860.
Kim, S., & Eom, D. S. (2014). Link-state-estimation-based transmission power control in wireless body area networks. IEEE J Biomedical and Health Informatics, 18(4), 1294–1302.
Li, P., Wen, Y., Yin, W., & Wu, H. (2014). An up conversion management circuit for low-frequency vibrating energy harvesting. IEEE Transactions on Industrial Electronics, 61(7), 3349–3358.
Lin, L., Wong, K. J., Tan, S. L., & Phee, S. J. (2009). Asymmetric multihop networks for multi-capsule communications within the gastrointestinal tract. In: Sixth international workshop on wearable and implantable body sensor networks. BSN 2009 (pp 82–86). IEEE.
Lin, L., Yang, C., Wong, K. J., Yan, H., Shen, J., & Phee, S. J. (2014). An energy efficient mac protocol for multi-hop swallowable body sensor networks. Sensors, 14(10), 19457–19476.
Liu, B., Yan, Z., & Chen, C. W. (2017). Medium access control for wireless body area networks with QoS provisioning and energy efficient design. IEEE Transactions on Mobile Computing, 16(2), 422–434.
Liu, Y., Davaslioglu, K., & Gitlin, R. D. (2017b). Energy efficiency optimization of channel access probabilities in IEEE 802.15.6 UWB WBANs. In 2017 IEEE wireless communications and networking conference (WCNC) (pp 1–6). IEEE.
Liu, Y. H., Huang, X., Vidojkovic, M., Ba, A., Harpe, P., Dolmans, G., & de Groot, H. (2013). A 1.9 nJ/b 2.4 GHz multistandard (Bluetooth Low Energy/Zigbee/IEEE802. 15.6) transceiver for personal/body-area networks. In 2013 IEEE international solid-state circuits conference digest of technical papers (ISSCC) (pp. 446–447). IEEE.
Liu, Z., Liu, B., & Chen, C. W. (2017). Transmission-rate-adaption assisted energy-efficient resource allocation with QoS support in WBANs. IEEE Sensors Journal, 17(17), 5767–5780.
Nabi, M., Geilen, M,. & Basten, T. (2011). Moban: A configurable mobility model for wireless body area networks. In Proceedings of the 4th international ICST conference on simulation tools and techniques (pp 168–177). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).
Qi, X., Wang, K., Huang, A., Shu, L., & Liu, Y. (2015). A harvesting-rate oriented self-adaptive algorithm in energy-harvesting wireless body area networks. In: 2015 IEEE 13th international conference on industrial informatics (INDIN) (pp. 966–971) IEEE.
Reusens, E., Joseph, W., Latré, B., Braem, B., Vermeeren, G., Tanghe, E., et al. (2009). Characterization of on-body communication channel and energy efficient topology design for wireless body area networks. IEEE Transactions on Information Technology in Biomedicine, 13(6), 933–945.
Sudevalayam, S., & Kulkarni, P. (2011). Energy harvesting sensor nodes: Survey and implications. IEEE Communications Surveys and Tutorials, 13(3), 443–461.
Tan, Y. K., & Panda, S. K. (2011). Energy harvesting from hybrid indoor ambient light and thermal energy sources for enhanced performance of wireless sensor nodes. IEEE Transactions on Industrial Electronics, 58(9), 4424–4435.
Ullah, S., Mohaisen, M., & Alnuem, M. A. (2013). A review of IEEE 802.15.6 MAC, PHY, and security specifications. International Journal of Distributed Sensor Networks, 9(4), 950704.
Xiao, S., Dhamdhere, A., Sivaraman, V., & Burdett, A. (2009). Transmission power control in body area sensor networks for healthcare monitoring. IEEE Journal on Selected Areas in Communications, 27(1), 37–48.
Yazicioglu, R. F., Kim, S., Torfs, T., Kim, H., & Van Hoof, C. (2011). A 30 µw analog signal processor ASIC for portable biopotential signal monitoring. IEEE Journal of Solid-State Circuits, 46(1), 209–223.
Yi, C., Wang, L., & Li, Y. (2015). Energy efficient transmission approach for wban based on threshold distance. IEEE Sensors Journal, 15(9), 5133–5141.
Yuan, J., Li, C., & Zhu, W. (2013). Energy-efficient mac in wireless body area networks. In 2013 international conference on information science and technology applications (ICISTA-2013). Atlantis Press.
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Goyal, R., Patel, R.B., Bhaduria, H.S. et al. An Energy Efficient QoS Supported Optimized Transmission Rate Technique in WBANs. Wireless Pers Commun 117, 235–260 (2021). https://doi.org/10.1007/s11277-020-07281-7
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DOI: https://doi.org/10.1007/s11277-020-07281-7