Document Type : Original/Review Paper

Authors

1 Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran

2 Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran

10.22044/jadm.2021.10117.2149

Abstract

Wireless body area networks (WBAN) are innovative technologies that have been the anticipation greatly promote healthcare monitoring systems. All WBAN included biomedical sensors that can be worn on or implanted in the body. Sensors are monitoring vital signs and then processing the data and transmitting to the central server. Biomedical sensors are limited in energy resources and need an improved design for managing energy consumption. Therefore, DTEC-MAC (Diverse Traffic with Energy Consumption-MAC) is proposed based on the priority of data classification in the cluster nodes and provides medical data based on energy management. The proposed method uses fuzzy logic based on the distance to sink and the remaining energy and length of data to select the cluster head. MATLAB software was used to simulate the method. This method compared with similar methods called iM-SIMPLE and M-ATTEMPT, ERP. Results of the simulations indicate that it works better to extend the lifetime and guarantee minimum energy and packet delivery rates, maximizing the throughput.

Keywords

[1] R. Ali Khan, and Al-S. Pathan, "The state-of-the-art wireless body area sensor networks: A survey," International journal of distributed sensor network, 2018.
[2] A. S. Albahri,et al. "Real-Time Fault-Tolerant mHealth System: Comprehensive Review of Healthcare Services. Opens Issues. Challenges and Methodological Aspects," Journal of Medical System, 2018.
[3] M.T. Mardini, et al. "A Survey of Healthcare Monitoring Systems for Chronically Ill Patients and Elderly," Journal of Medical System, 2019.
[4] C. Y. Lim, and K. Kim, "A Study on Healthcare System using Smart Clothes," Journal of Electrical Engineering and Technology, Vol. 9, pp. 372-377, http://dx.doi.org/10.5370/JEET.2014.9.1.372, 2014.
[5] P. Roopali, and K. Rakesh, "Technological aspects of WBANs for health monitoring: a comprehensive review," Springer Science, 2018.
[6] R. Cavallari, et al., "A Survey on Wireless Body Area Networks: Technologies and Design Challenges," IEEE Communication Survey Tutor, Vol. 16, pp. 1635-1657, 2014.
[7] N. Adnan, et al., "Application of a specific study, analysis, and classification of body area wireless sensor network applications," Computer Networks, Elsevier, 2015.
[8] Liu. Qingling, et al., "Performance issues in wireless body area networks for the healthcare application: a survey and future prospects," Springer, 2021.
[9] Xi. Wang, et al., "Fuzzy Control-Based Energy-Aware Routing Protocol for Wireless Body Area Networks," Journal of sensors, Hindawi, 2021.
[10] T. Jabeen,  et al., "A survey on healthcare data security in wireless body area networks," Accesses, Springer, 2021.
[11] Al. Janabi, et al., "Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications," Egyptian Informatics Journal, 2016.
[12] N.  Nowrozian, F. Tashtarian, "A Mobile Charger based on Wireless Power Transfer Technologies: A Survey of Concepts, Techniques, Challenges, and Applications on Rechargeable Wireless Sensor Networks," Journal of Artificial Intelligence and Data Mining (JAIDM), 21 May 2021.
[13] M. Talal, et al., "Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review," Journal of Medical Systems, 2019.
[14] N. Khozouie, F. Fotouhi-Ghazvini, and B. Minaei, "Context-aware Modeling for Spatio-temporal Data Transmitted from a Wireless Body Sensor Network," Journal of AI and Data Mining, Vol. 7, No. 4, pp. 575-588, 2019.
[15] Sh. Wang, et al., "Construction of medical equipment-based doctor health monitoring system," Journal of Medical Systems, 2019.
[16] M. Nilashi, et al., "An Analytical Method for Diseases Prediction Using Machine Learning Techniques," Computers and Chemical Engineering, pp. 212-223, 2017.
[17] M. Nilashi, et al., "A hybrid intelligent system for the prediction of Parkinson's disease progression using machine learning techniques," Biocybernetics, and Biomedical Engineering, pp. 38-1-15, 2018.
[18] M. Nilashi, et al., "Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques," Journal of Soft Computing and Decision Support Systems, pp.8-16, 2017.
[19] I.d. Torre Díez, et al., "Systematic Review about QoS and QoE in Telemedicine and eHealth Services and Applications," Journal of Medical Systems,2018.
[20] M. Nilashi, et al., "A Soft Computing Method for Mesothelioma Disease Classification," Journal of Soft Computing and Decision Support Systems, Vol. 4, No. 1, pp.16-18, 2017.
[21] S. Barro, and R. Marin, "Fuzzy Logic in Medicine," Physical-Verilog HD, 2013.
[22] L. A. Zadeh, "Fuzzy Logic  Computing with Words," IEEE Transactions on Fuzzy Systems (TFS), Vol. 4, pp. 103-111, 1996.
[23] L. Zadeh, "Fuzzy logic - a personal perspective," Fuzzy Sets and Systems, pp.4-20, 2015.
[24] A. Torres, and J. J. Nieto, "Fuzzy Logic in Medicine and Bioinformatics," Journal of Biomedicine and Biotechnology, 2006.
[25] R. Sensing, "Views on Fuzzy Sets and System from Different Perspectives: Philosophy and Logic," Criticisms and Application, 2009.
[26] R. Seinsing, and M. E. Tabacchi, "Fuzziness and Medicine: Philosophical Reflections and Application Systems in Health Care," A Companion Volume to Sadegh-Zadehs Handbook of Analytical Philosophy of Medicine, Springer, 2013.
[27] F.M. Salman, and H. Lafta Atia, "Design and implement energy efficient routing protocol for wireless body area networks (WBANs) by using fuzzy logic," Journal of Engineering and applied science, Vol. 13, pp. 4622-4629, 2017.
[28] J. Jiang, et al., "The Routing Algorithm Based on Fuzzy Logic Applied to the Individual Physiological Monitoring Wearable Wireless Sensor Network," Hindawi, 2015.
[29] J. Y. Chang, and P H. Ju, "An energy-saving routing architecture with a uniform clustering algorithm for wireless body sensor networks," Future Generation Computer Systems, Vol. 35, No. 3, pp. 128–140, 2014.
[30] S. M. Nekooei, et al., "Automatic Design of Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks – an Evolutionary Approach," Applied Soft Computing, Elsevier, 2017.
[31] L. X. Wang, "Adaptive Fuzzy Systems and Control: Design and Stability Analysis," Prentice-Hall, 1994.
[32] R. R. Yager, and D. P. Filev, "Essentials of Fuzzy Modeling and Control," Wiley-Inter science, New York, NY, USA, 1994.
[33] B. D. V. Liu, et al., "Design of adaptive fuzzy logic controller based online guistichedge concepts and genetic algorithms," IEEE Trans. System ManCybern, Cybern, Vol. 1, pp. 32–53, 2001.
[34] Garcia Galan et al., "Swarm fuzzy systems: knowledge acquisition in fuzzy systems and its applications in grid computing," IEEE Trans. Knowledge Data Eng., Vol. 7, pp.1791–1804, 2014.
[35] J. Casillas, et al., "Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction," IEEE Trans. Fuzzy System, No. 13, Vol. 1, pp. 13–29, 2005.
[36] N. Bachache, and J. Wen, "Design fuzzy logic controller by particle swarm optimization for wind turbine," International conference in Swarm Intelligence, Springer, Vol. 7928, pp.152–159, 2013.
[37] N. Hachicha, et al. "A fuzzy logic control using a differential evolution algorithm aimed at modelling the financial market dynamics," Information Science, No. 181, Vol. 1, pp. 79–91, 2011.
[38] N. Javaid, et al., "M-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks," 4th International Conference on Ambient Systems, Networks and Technologies, 2013.
[39] Q. Nadeem, et al., "SIMPLE: Stable Increased-throughput Multi-hop Protocol for Link Efficiency in Wireless Body Area Networks," Eighth International Conference on Broadband, Wireless Computing, Communication and Applications, 2013.
[40] N. Javaid, et al., "iM-SIMPLE: iMproved stable increased-throughput multi-hop link efficient routing protocol for Wireless Body Area Networks," Computers in Human Behavior, Elsevier, 2015.
[41] T-Ch. Chiang, and W-H. Liang, "A Context-Aware Interactive Health Care System Based on topology and Fuzzy Inference," Journal of Medical System, 2015.
[42] Z. Ling, et al., "Point-to-Point Wireless Information and Power Transfer in WBAN with Energy Harvesting," IEEE Access, Vol. 5, pp. 8620-8628, 2017.
[43] H. Mosavat-Jahromi, et al. "Maximizing Spectral Efficiency for Energy Harvesting-Aware WBAN," IEEE Journal of Biomedical and Health Informatics, Vol. 21, No. 3, pp. 732-742, 2017.