Enhancing the Energy Efficiency of WBAN Sensor Nodes by Employing Fuzzy Logic Technique
May 23, 2023
May 25, 2023
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Restricted size of the battery results in limited energy storage and various other problems likely. So the sensors should be properly used during their energy use, as their batteries are not to be replaced quite often. Efficient strategies for providing data are needed while ensuring secure communication. Here, in this manuscript Fuzzy Logic Cluster Head Rotation is implemented and evaluated on sensor nodes of Wireless body area networks. Cluster Head is chosen based on two characteristics i.e. proximity distance and energy. Among the other nodes in the network, the fuzzy based technique chooses CH as the node with the highest energy and local optimality
Dhingra, S., Bhardwaj, S., & ., Y. (2023). Enhancing the Energy Efficiency of WBAN Sensor Nodes by Employing Fuzzy Logic Technique. Engineering And Technology Journal, 8(5), 2263–2267. https://doi.org/10.47191/etj/v8i5.10
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2. Alfadhly, A., Baroudi, U. and Younis, M., “Least distance movement recovery approach for large scale wireless sensor and actor networks,” 7th IEEE International Wireless Communications and Mobile Computing Conference, 2011, pp. 2058-2063.
3. BishalLamichhane, Steven Mudda, Francesco Regazzoni, and Alessandro Puiatti, “LEXCOMM: A low energy, secure and flexible communication protocol for a heterogeneous body sensor network,” Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong and Shenzhen, China, 2012, pp. 273-276.
4. A. Rahim and N. C. Karmakar, "Sensor cooperation in wireless body area network using network coding for sleep apnoea monitoring system", Proc. IEEE 8th Int. Conf. Intell. Sensors Sensor Netw. Inf. Process., 2013, pp. 432-436.
5. JingweiLiu,Zonghua Zhang, Xiaofeng Chen, and Kyung Sup Kwak , “Certificate less remote anonymous authentication schemes for wireless body area networks,” IEEE Transactions on Parallel And Distributed Systems, Vol. 25, No. 2, 2014, pp. 332-342.
6. Bhatia, A., &Patro, R. K., “PMAC: A poll-based MAC protocol for wireless body area networks (WBANs)”, IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2016, pp. 1-6.
7. Zhang, C. Q., Liang, Y. Q., Ni, L. N., Wang, Y. L., & Shu, M. L., “An energy-efficient MAC protocol for wireless body area networks”, ITM Web of Conferences, EDPSciences, Vol. 12, 2017, pp. 03044).
8. Yang, X., Wang, L., & Zhang, Z., “Wireless body area networks MAC protocol for energy efficiency and extending lifetime” IEEE sensors letters, 2(1), 2018, pp. 1-4.
9. Kathe, K. S., & Deshpande, U. A., “A Thermal Aware Routing Algorithm for a wireless body area network”, Wireless Personal Communications, 105(4), 2019, pp. 1353-1380.
10. Pushpan, S., &Velusamy, B., “Fuzzy-based dynamic time slot allocation for wireless body area networks”, Sensors, 19(9), 2019, pp. 2112.
11. Pushpan, S., &Velusamy, B., “Fuzzy-based dynamic time slot allocation for wireless body area networks”,Sensors, 19(9), 2019, pp. 2112.
12. Mehmood, G., Khan, M. Z., Abbas, S., Faisal, M., & Rahman, H. U., “An Energy- Efficient and Cooperative Fault-Tolerant Communication Approach for Wireless Body Area Network”, IEEE Access, 8, 2020, pp. 69134-69147.
13. Qureshi, K. N., Din, S., Jeon, G., &Piccialli, F., “Link quality and energy utilization based preferable next hop selection routing for wireless body area networks”, Computer Communications, 149, 2020, pp. 382-392.
14. Chen G., Li C., Ye M., and Wu J., 2009, "An unequal cluster-based routing protocol in wireless sensor networks", Wireless Networks, vol. 15, pp. 193-207.
