Cloud-Based Wireless Body Area Networks: Managing Data for Better Health Care

Patients with chronic diseases and the elderly will benefit greatly from a close-monitoring healthcare system. A wireless body area network (WBAN) has been widely deployed for this purpose. WBAN sensors collect vast amounts of biosignal data from a patient for long periods of time. These biosignal data need to be efficiently managed and stored for further processing and future reference. This article reviews and compares the frameworks and also evaluates the various methods used to manage WBAN data. We aim to identify the best method of managing WBAN data and present an enhanced architectural platform. It is intended to help researchers and practitioners to further study, modify, and develop quality-of-service (QoS)-based WBAN health-care systems.

[1]  Saraju P. Mohanty,et al.  Everything You Wanted to Know About Smart Cities , 2016, IEEE Consumer Electron. Mag..

[2]  Baozhi Chen,et al.  Transmission of Patient Vital Signs Using Wireless Body Area Networks , 2011, Mob. Networks Appl..

[3]  Flora Malamateniou,et al.  Emergency Healthcare Process Automation Using Mobile Computing and Cloud Services , 2012, Journal of Medical Systems.

[4]  Xiaofei Wang,et al.  Cloud-enabled wireless body area networks for pervasive healthcare , 2013, IEEE Network.

[5]  Athanasios V. Vasilakos,et al.  QoS-Aware Health Monitoring System Using Cloud-Based WBANs , 2014, Journal of Medical Systems.

[6]  Lu Wang,et al.  Framework and challenges for Wireless body area networks based on big data , 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

[7]  Muhammad Khurram Khan,et al.  Reducing Power Consumption in Wireless Body Area Networks: A Novel Data Segregation and Classification Technique , 2017, IEEE Consumer Electronics Magazine.

[8]  Yaser Jararweh,et al.  Cloudlet-based for big data collection in body area networks , 2013, 8th International Conference for Internet Technology and Secured Transactions (ICITST-2013).

[9]  Stavros Valsamidis,et al.  Proposed cloud infrastructure of wearable and ubiquitous medical services , 2015, 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC).

[10]  Rajkumar Buyya,et al.  An autonomic cloud environment for hosting ECG data analysis services , 2012, Future Gener. Comput. Syst..

[11]  Parneet Kaur,et al.  Fuzzy Based Analysis of Proposed Model for Physical Health Standard Based on Association Rule Mining Techniques , 2012 .

[12]  Yaser Jararweh,et al.  Smart community health awareness model , 2015, 2015 6th International Conference on Information and Communication Systems (ICICS).

[13]  Wendi B. Heinzelman,et al.  Cloud-Vision: Real-time face recognition using a mobile-cloudlet-cloud acceleration architecture , 2012, 2012 IEEE Symposium on Computers and Communications (ISCC).

[14]  Radha Poovendran,et al.  Minimizing Energy Consumption in Body Sensor Networks via Convex Optimization , 2010, 2010 International Conference on Body Sensor Networks.

[15]  S. Dhivya,et al.  Cloud Based Fuzzy Healthcare System , 2015 .

[16]  Tom Coughlin.  ICCE Tricorder Session Explores the Future of Home Health Care [Conference Review] , 2013, IEEE Consumer Electron. Mag..

[17]  Hossam S. Hassanein,et al.  Ubiquitous Health Monitoring Using Mobile Web Services , 2012, ANT/MobiWIS.