An efficient data offloading to cloud mechanism for smart healthcare sensors

The amalgamation of Mobile Cloud Computing (MCC) and Wireless Body Area Networks (WBANs) is the latest trend in the field of pervasive mobile health care monitoring systems. WBANs are low power sensor networks whose performance can be enhanced by integrating WBANs with cloud computing. Cloud Computing provides all the required resources (storage, memory, processing power) with minimum cost. An efficient health record management service is proposed in this article. It is based on real time data offloading to cloud from WBANs. The major goal of the proposed model is to effectively aggregate the data of patients in the various network segments in order to remove the communication overhead of headers and acknowledgements. A novel algorithm is proposed for data aggregation and offloading to the cloud. The proposed approach is energy efficient to deliver the data effectively to the cloud based health record management services. The performance of the proposed system is assessed on the basis of aggregation efficiency, total transmission time and end-to-end delay using matlab simulations. The experimental results show that the proposed model has added a minimum possible delay on the communication link and thus the data delivery has been efficient and quicker.

[1]  M. Shamim Hossain,et al.  A Survey on Sensor-Cloud: Architecture, Applications, and Approaches , 2013, Int. J. Distributed Sens. Networks.

[2]  Athanasios V. Vasilakos,et al.  A cloud-based interference-aware remote health monitoring system for non-hospitalized patients , 2014, 2014 IEEE Global Communications Conference.

[3]  Jorge A. Gálvez,et al.  A Review of Analytics and Clinical Informatics in Health Care , 2014, Journal of Medical Systems.

[4]  Victor C. M. Leung,et al.  Enabling technologies for wireless body area networks: A survey and outlook , 2009, IEEE Communications Magazine.

[5]  Doug Johnson,et al.  Computing in the Clouds. , 2010 .

[6]  Marco Conti,et al.  Data Offloading Techniques in Cellular Networks: A Survey , 2015, IEEE Communications Surveys & Tutorials.

[7]  Abbas Jamalipour,et al.  Wireless Body Area Networks: A Survey , 2014, IEEE Communications Surveys & Tutorials.

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

[9]  Miodrag Potkonjak,et al.  Toward energy-efficient and distributed mobile health monitoring using parallel offloading , 2013, EMBC.

[10]  Minoru Okada,et al.  Radio access considerations for data offloading with multipath TCP in cellular/WiFi networks , 2013, The International Conference on Information Networking 2013 (ICOIN).

[11]  Sugam Sharma,et al.  Evolution of as-a-Service Era in Cloud , 2015, ArXiv.

[12]  Seung-Hun Park,et al.  Cloud computing aware Ubiquitous Health care system , 2011, 2011 E-Health and Bioengineering Conference (EHB).

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