Energy-Efficient Remote Healthcare Monitoring Using IoT: A Review of Trends and Challenges

The emergence of Internet and technologies such as Wireless Sensor Network (WSN) has created another platform of Wireless Body Area Network (WBAN) and also an ever growing new area of Internet of Thing (IoT). A WBAN offers a flexibility and mobility to health monitoring system. Most of WBAN is made up of several small and light-weighted battery-operated sensor nodes and lead to energy-constrained system. Thus, an energy-efficient WBAN system is crucially needed to make the network last longer. In addition, data reliability and data transmission is important to make the system more effective. IoT concept helps in forming an interaction of things in the surrounding as well as support data storage (database) for collected vital body sign by the sensors. In this paper, we review the concept and design of energy-efficient WBAN and contribution of IoT in healthcare monitoring system.

[1]  Farrukh Aslam Khan,et al.  Key Agreement Schemes in Wireless Body Area Networks: Taxonomy and State-of-the-Art , 2015, Journal of Medical Systems.

[2]  N. Kumar,et al.  Novel fall detection algorithm for the elderly people , 2014, 2014 International Conference on Science Engineering and Management Research (ICSEMR).

[3]  Oana Geman,et al.  Acquisition and management of biomedical data using Internet of Things concepts , 2014, 2014 International Symposium on Fundamentals of Electrical Engineering (ISFEE).

[4]  Shashwat Pathak,et al.  Energy Optimization of ZigBee Based WBAN for Patient Monitoring , 2015 .

[5]  Vo Van Toi,et al.  5th International Conference on Biomedical Engineering in Vietnam , 2015 .

[6]  Jindong Tan,et al.  Heartbeat-Driven Medium-Access Control for Body Sensor Networks , 2007, IEEE Transactions on Information Technology in Biomedicine.

[7]  O. Geman,et al.  Adopting the Internet of Things technologies in health care systems , 2014, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE).

[8]  Pinar Kirci,et al.  Smart phones and health monitoring , 2015, 2015 Fourth International Conference on Future Generation Communication Technology (FGCT).

[9]  Van-Su Tran,et al.  Wireless Sensor Network for Real Time Healthcare Monitoring: Network Design and Performance Evaluation Simulation , 2015 .

[10]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[11]  Zahir Tari,et al.  Context-aware cardiac monitoring for early detection of heart diseases , 2013, Computing in Cardiology 2013.

[12]  Organización Mundial de la Salud Global Health and Aging , 2011 .

[13]  Kyung Sup Kwak,et al.  A Review of Wireless Body Area Networks for Medical Applications , 2009, Int. J. Commun. Netw. Syst. Sci..

[14]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[15]  Remus Brad,et al.  Security Requirements, Counterattacks and Projects in Healthcare Applications Using WSNs - A Review , 2014, ArXiv.

[16]  Mehmet Rasit Yuce,et al.  Implementation of wireless body area networks for healthcare systems , 2010 .

[17]  Xiaonan Wang,et al.  All-IP wireless sensor networks for real-time patient monitoring , 2014, J. Biomed. Informatics.

[18]  Shah Murtaza,et al.  Study and Analysis of Scientific Scopes, Issues and Challenges towards Developing a Righteous Wireless Body Area Network , 2013 .

[19]  Hsien-Tsung Chang,et al.  A Cognitive Oriented Framework for IoT Big-data Management Prospective , 2014, 2014 IEEE International Conference on Communiction Problem-solving.

[20]  Jamil Y. Khan,et al.  Wireless Body Area Network (WBAN) Design Techniques and Performance Evaluation , 2012, Journal of Medical Systems.

[21]  António Pereira,et al.  Wireless Body Area Networks for Healthcare Applications: Protocol Stack Review , 2015, Int. J. Distributed Sens. Networks.

[22]  William G. Scanlon,et al.  Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[23]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[24]  Shajahan Kutty,et al.  Towards energy efficient protocols for wireless body area networks , 2010, 2010 5th International Conference on Industrial and Information Systems.

[25]  Jing Liu,et al.  A novel energy efficient MAC protocol for Wireless Body Area Network , 2015 .

[26]  Nikolaos G. Bourbakis,et al.  A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[27]  Yanchun Zhang,et al.  Health Information Science , 2014, Lecture Notes in Computer Science.

[28]  Divya Sharma,et al.  Body area networks: A survey , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[29]  Hyun Jung La,et al.  A conceptual framework for trajectory-based medical analytics with IoT contexts , 2016, J. Comput. Syst. Sci..

[31]  A. Dey World report on ageing and health , 2017, The Indian Journal of Medical Research.

[32]  Frank Klawonn,et al.  Health Information Science , 2018, Lecture Notes in Computer Science.

[33]  Zahra Rezaei,et al.  Energy Saving in Wireless Sensor Networks , 2012 .

[34]  Fulvio Corno,et al.  IoT Meets Caregivers: A Healthcare Support System in Assisted Living Facilities , 2014, IoT360.

[35]  Liu Jing,et al.  A novel energy efficient MAC protocol for Wireless Body Area Network , 2015, China Communications.

[36]  Lotfi Kamoun,et al.  IEEE 802.15.4/Zigbee Performance Analysis for Real Time Applications Using OMNET++ Simulator , 2011 .

[37]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[38]  Bin Shen,et al.  A Study of MAC Protocols for WBANs , 2009, Sensors.