Energy-harvesting based on internet of things and big data analytics for smart health monitoring

Abstract Current advancements and growth in the arena of the Internet of Things (IoT) is providing great potential in the novel epoch of healthcare. The future of healthcare is expansively promising, as it advances the excellence of life and health of humans, involving several health regulations. Continual increases of multifaceted IoT devices in healthcare is beset by challenges, such as powering IoT terminal nodes used for health monitoring, data processing, smart decisions, and event management. In this paper, we propose a healthcare architecture which is based on an analysis of energy harvesting for health monitoring sensors and the realization of Big Data analytics in healthcare. The rationale of the proposed architecture is two-fold: (1) comprehensive conceptual framework for energy harvesting for health monitoring sensors; and (2) data processing and decision management for healthcare. The proposed architecture is a three-layered architecture that comprises: (1) energy harvesting and data generation; (2) data pre-processing; and (3) data processing and application. The proposed scheme highlights the effectiveness of energy-harvesting based IoT in healthcare. In addition, it also proposes a solution for smart health monitoring and planning. We also utilized consistent datasets on the Hadoop server to validate the proposed architecture based on threshold limit values (TLVs). The study demonstrates that the proposed architecture offers substantial and immediate value to the field of smart health.

[1]  Xiong Li,et al.  A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments , 2018, J. Netw. Comput. Appl..

[2]  Dominique Genoud,et al.  Big Data in Smart Cities: From Poisson to Human Dynamics , 2014, 2014 28th International Conference on Advanced Information Networking and Applications Workshops.

[3]  Didier Stricker,et al.  Creating and benchmarking a new dataset for physical activity monitoring , 2012, PETRA '12.

[4]  John A. Rogers,et al.  Recent progress in flexible and stretchable piezoelectric devices for mechanical energy harvesting, sensing and actuation , 2016 .

[5]  Roy D. Kornbluh,et al.  Silicon pressure transducer arrays for blood-pressure measurement , 1990 .

[6]  Oluwarotimi Williams Samuel,et al.  An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction , 2017, Expert Syst. Appl..

[7]  Raj Jain,et al.  An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments , 2015, IEEE Internet of Things Journal.

[8]  Didier Stricker,et al.  Introducing a New Benchmarked Dataset for Activity Monitoring , 2012, 2012 16th International Symposium on Wearable Computers.

[9]  N. Saber,et al.  Smart thin-film piezoelectric composite sensors based on high lead zirconate titanate content , 2015 .

[10]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[11]  Upkar Varshney,et al.  Pervasive Healthcare and Wireless Health Monitoring , 2007, Mob. Networks Appl..

[12]  Arun Kumar Sangaiah,et al.  A Robust Time Synchronization Scheme for Industrial Internet of Things , 2018, IEEE Transactions on Industrial Informatics.

[13]  Michel Riveill,et al.  An Architecture to Support the Collection of Big Data in the Internet of Things , 2014, 2014 IEEE World Congress on Services.

[14]  Gerd Kortuem,et al.  Smart objects as building blocks for the Internet of things , 2010, IEEE Internet Computing.

[15]  M. Takeuchi,et al.  P6F-2 Piezoelectric Generator as Power Supply for RFID-Tags and Applications , 2007, 2007 IEEE Ultrasonics Symposium Proceedings.

[16]  Fahim Arif,et al.  Smart urban planning using Big Data analytics to contend with the interoperability in Internet of Things , 2017, Future Gener. Comput. Syst..

[17]  Oscar Mayora-Ibarra,et al.  Guest Editorial , 2007, Mob. Networks Appl..

[18]  Yang Liu,et al.  A flexible and implantable piezoelectric generator harvesting energy from the pulsation of ascending aorta: in vitro and in vivo studies , 2015 .

[19]  S. Beeby,et al.  Energy harvesting vibration sources for microsystems applications , 2006 .

[20]  Emre Salman,et al.  A new circuit design framework for IoT devices: Charge-recycling with wireless power harvesting , 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

[21]  Awais Ahmad,et al.  An efficient divide-and-conquer approach for big data analytics in machine-to-machine communication , 2016, Neurocomputing.

[22]  Canan Dagdeviren,et al.  Cooperativity in the Enhanced Piezoelectric Response of Polymer Nanowires , 2014, Advanced materials.

[23]  Daniel J. Inman,et al.  Energy Harvesting Technologies , 2008 .

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

[25]  Arun Kumar Sangaiah,et al.  ESCAPE: Effective Scalable Clustering Approach for Parallel Execution of Continuous Position-Based Queries in Position Monitoring Applications , 2017, IEEE Transactions on Sustainable Computing.

[26]  Yue Xu,et al.  A unified face identification and resolution scheme using cloud computing in Internet of Things , 2018, Future Gener. Comput. Syst..

[27]  Moneeb Gohar,et al.  Distributed Mobility Management in 6LoWPAN-Based Wireless Sensor Networks , 2015, Int. J. Distributed Sens. Networks.

[28]  Héctor Pomares,et al.  mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications , 2014, IWAAL.