f Forward Node Selection by Evaluating Link Quality Using Fuzzy Logic in WBAN
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Forward Node Selection by Evaluating Link Quality Using Fuzzy Logic in WBAN

Author(s): Kavya S* and Praveen Kumar R

Publisher : FOREX Publication

Published : 30 May 2024

e-ISSN : 2347-470X

Page(s) : 512-519




Kavya S*, Department of Electronics and Communication Engineering Easwari Engineering College Ramapuram, Chennai, Tamil Nadu, India; Email: kavyasabapathy@gmail.com

Praveen Kumar R, Department of Electronics and Communication Engineering Easwari Engineering College Ramapuram, Chennai, Tamil Nadu, India; Email: rpjcspraveen@gmail.com

    [1] T. Watteyne, I. Augé-Blum, M. Dohler, and D. Barthel, “AnyBody: A self-organization protocol for Body Area Networks,” BODYNETS 2007 - 2nd Int. ICST Conf. Body Area Networks, 2007, doi: 10.4108/bodynets.2007.186. [CrossRef]
    [2] Z. Ullah, I. Ahmed, K. Razzaq, M. K. Naseer, and N. Ahmed, “DSCB: Dual sink approach using clustering in body area network,” Peer-to-Peer Netw. Appl., vol. 12, no. 2, pp. 357–370, 2019, doi: 10.1007/s12083-017-0587-z. [CrossRef]
    [3] B. Abidi, A. Jilbab, and E. H. Mohamed, “An energy efficiency routing protocol for wireless body area networks,” J. Med. Eng. Technol., vol. 42, no. 4, pp. 290–297, 2018, doi: 10.1080/03091902.2018.1483440. [CrossRef]
    [4] Q. Tang, N. Tummala, S. K. S. Gupta, and L. Schwiebert, “TARA: Thermal-Aware Routing Algorithm for implanted sensor networks,” Lect. Notes Comput. Sci., vol. 3560, pp. 206–217, 2005, doi: 10.1007/11502593_17. [CrossRef]
    [5] A. Bag and M. A. Bassiouni, “Energy efficient thermal aware routing algorithms for embedded biomedical sensor networks,” 2006 IEEE Int. Conf. Mob. Ad Hoc Sens. Syst. MASS, vol. 1, pp. 604–609, 2006, doi: 10.1109/MOBHOC.2006.278619. [CrossRef]
    [6] D. Takahashi, Y. Xiao, and F. Hu, “LTRT: Least total-route temperature routing for embedded biomedical sensor networks,” GLOBECOM - IEEE Glob. Telecommun. Conf., pp. 641–645, 2007, doi: 10.1109/GLOCOM.2007.125. [CrossRef]
    [7] A. Bag and M. A. Bassiouni, “Hotspot Preventing Routing algorithm for delay-sensitive applications of in vivo biomedical sensor networks,” Inf. Fusion, vol. 9, no. 3, pp. 389–398, 2008, doi: 10.1016/j.inffus.2007.02.001. [CrossRef]
    [8] M. Tabandeh, M. Jahed, F. Ahourai, and S. Moradi, “A thermal-aware shortest hop routing algorithm for in vivo biomedical sensor networks,” ITNG 2009 - 6th Int. Conf. Inf. Technol. New Gener., pp. 1612–1613, 2009, doi: 10.1109/ITNG.2009.274. [CrossRef]
    [9] A. R. Bhangwar, P. Kumar, A. Ahmed, and M. I. Channa, “Trust and Thermal Aware Routing Protocol (TTRP) for Wireless Body Area Networks,” Wirel. Pers. Commun., vol. 97, no. 1, pp. 349–364, 2017, doi: 10.1007/s11277-017-4508-5. [CrossRef]
    [10] M. M. Monowar and F. Bajaber, “Towards Differentiated Rate Control for Congestion and Hotspot Avoidance in Implantable Wireless Body Area Networks,” IEEE Access, vol. 5, pp. 10209–10221, 2017, doi: 10.1109/ACCESS.2017.2708760. [CrossRef]
    [11] K. Karmakar, S. Biswas, and S. Neogy, “MHRP: A novel mobility handling routing protocol in Wireless Body Area Network,” Proc. 2017 Int. Conf. Wirel. Commun. Signal Process. Networking, WiSPNET 2017, vol. 2018-Janua, pp. 1939–1945, 2017, doi: 10.1109/WiSPNET.2017.8300099. [CrossRef]
    [12] A. Samanta and S. Misra, “Energy-Efficient and Distributed Network Management Cost Minimization in Opportunistic Wireless Body Area Networks,” IEEE Trans. Mob. Comput., vol. 17, no. 2, pp. 376–389, 2018, doi: 10.1109/TMC.2017.2708713. [CrossRef]
    [13] R. Goyal, R. B. Patel, H. S. Bhaduria, and D. Prasad, “An Efficient Data Delivery Scheme in WBAN to Deal with Shadow Effect due to Postural Mobility,” Wirel. Pers. Commun., vol. 117, no. 1, pp. 129–149, 2021, doi: 10.1007/s11277-019-06997-5. [CrossRef]
    [14] M. Anand Kumar and C. Vidya Raj, “On designing lightweight QoS routing protocol for delay-sensitive wireless body area networks,” 2017 Int. Conf. Adv. Comput. Commun. Informatics, ICACCI 2017, vol. 2017-Janua, pp. 740–744, 2017, doi: 10.1109/ICACCI.2017.8125930. [CrossRef]
    [15] S. Vetale and A. V. Vidhate, “Hybrid data-centric routing protocol of wireless body area network,” Int. Conf. Adv. Comput. Commun. Control 2017, ICAC3 2017, vol. 2018-Janua, pp. 1–7, 2017, doi: 10.1109/ICAC3.2017.8318793. [CrossRef]
    [16] X. Hu, L. Ma, Y. Ding, J. Xu, Y. Li, and S. Ma, “Fuzzy logic-based geographic routing protocol for dynamic wireless sensor networks,” Sensors (Switzerland), vol. 19, no. 1, 2019, doi: 10.3390/s19010196. [CrossRef]
    [17] D. Javaheri, P. Lalbakhsh, S. Gorgin, J. A. Lee, and M. Masdari, “A new energy-efficient and temperature-aware routing protocol based on fuzzy logic for multi-WBANs,” Ad Hoc Networks, vol. 139, no. December 2023, pp. 0–27, 2023, doi: 10.1016/j.adhoc.2022.103042. [CrossRef]
    [18] S. Pushpan and B. Velusamy, “Fuzzy-based dynamic time slot allocation for wireless body area networks,” Sensors (Switzerland), vol. 19, no. 9, 2019, doi: 10.3390/s19092112. [CrossRef]
    [19] R. Dass, M. Narayanan, G. Ananthakrishnan, and T. K. Murugan, “A Cluster- Based Energy- Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks,” Sensors, vol. 23, no. 14, 2023. [CrossRef]
    [20] M. Saini and G. Pandove, “A Research Article on Efficient Next-Node Selection Algorithm for WBAN by Using Fuzzy Logic,” Int. J. Comput. Intell. Res., vol. 13, no. 8, pp. 1977–1990, 2017.
    [21] R. Praveenkumar, Kirthika, D. Arumugam, and Dinesh, “Hybridization of Machine Learning Techniques for WSN Optimal Cluster Head Selection,” Int. J. Electr. Electron. Res., vol. 11, no. 2, pp. 426–433, 2023, doi: 10.37391/IJEER.110224. [CrossRef]
    [22] R. Praveen Kumar, J. S. Raj, and S. Smys, “Performance Analysis of Hybrid Optimization Algorithm for Virtual Head Selection in Wireless Sensor Networks,” Wirel. Pers. Commun., vol. 123, no. 2, pp. 1925–1940, 2022, doi: 10.1007/s11277-021-09222-4. [CrossRef]
    [23] X. Wang, G. Zheng, H. Ma, W. Bai, H. Wu, and B. Ji, “Fuzzy Control-Based Energy-Aware Routing Protocol for Wireless Body Area Networks,” J. Sensors, vol. 2021, 2021, doi: 10.1155/2021/8830153. [CrossRef]
    [24] C. Gomathi and N. Santhiyakumari, “OFSR: An Optimized Fuzzy Based Swarm Routing for Wireless Body Area Networks,” 3rd Int. Conf. Signal Process. Integr. Networks, SPIN 2016, pp. 507–512, 2016, doi: 10.1109/SPIN.2016.7566748.
    [25] 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, 2019, doi: 10.1007/s13721-019-0201-9. [CrossRef]
    [26] H. Esmaeili and B. Minaei Bidgoli, “EMRP: Evolutionary-based multi-hop routing protocol for wireless body area networks,” AEU - Int. J. Electron. Commun., vol. 93, pp. 63–74, 2018, doi: 10.1016/j.aeue.2018.06.003. [CrossRef]
    [27] J. D. Rao and K. Sridevi, “Novel security system for wireless body area networks based on fuzzy logic and trust factor considering residual energy,” Mater. Today Proc., vol. 45, no. xxxx, pp. 1498–1501, 2021, doi: 10.1016/j.matpr.2020.07.632. [CrossRef]
    [28] N. Bilandi, H. K. Verma, and R. Dhir, “Energy-efficient relay node selection scheme for sustainable wireless body area networks,” Sustain. Comput. Informatics Syst., vol. 30, no. January, p. 100516, 2021, doi: 10.1016/j.suscom.2021.100516. [CrossRef]
    [29] K. Das, R. Ray, and S. Moulik, “Optimal relaying nodes selection for IEEE 802.15.6-based two-hop star topology WBAN,” Internet of Things (Netherlands), vol. 22, no. October 2022, p. 100740, 2023, doi: 10.1016/j.iot.2023.100740. [CrossRef]
    [30] S. R. Chavva, A. Vijayaraj, E. Venkata Pavan Kumar, R. Ganesh Kumar, and S. Teja, “Hybrid Hierarchical Fuzzy Inference System to Improve Network Lifetime of WBANs for Health Monitoring,” 2023 Int. Conf. Comput. Commun. Informatics, ICCCI 2023, pp. 1–6, 2023, doi: 10.1109/ICCCI56745.2023.10128507. [CrossRef]
    [31] M. Rondinone, J. Ansari, J. Riihijärvi, and P. Mähönen, “Designing a reliable and stable link quality metric for wireless sensor networks,” REALWSN 2008 - Proc. 2008 Work. Real-World Wirel. Sens. Networks, pp. 6–10, 2008, doi: 10.1145/1435473.1435476. [CrossRef]
    [32] A. H. Sodhro, L. Chen, A. Sekhari, Y. Ouzrout, and W. Wu, “Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks,” Int. J. Distrib. Sens. Networks, vol. 14, no. 1, 2018, doi: 10.1177/1550147717750030. [CrossRef]
    [33] K. Srinivasan and P. Levis, “RSSI is Under Appreciated,” Proc. Third Work. Embed. Networked Sensors, vol. 3031, p. 239242, 2006, [Online]. Available: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:RSSI+is+Under+Appreciated#0.

Kavya S and Praveen Kumar R (2024), Forward Node Selection by Evaluating Link Quality Using Fuzzy Logic in WBAN. IJEER 12(2), 512-519. DOI: 10.37391/IJEER.120224.