An IoT-Aware Architecture for Smart Healthcare Systems

Over the last few years, the convincing forward steps in the development of Internet of Things (IoT)-enabling solutions are spurring the advent of novel and fascinating applications. Among others, mainly radio frequency identification (RFID), wireless sensor network (WSN), and smart mobile technologies are leading this evolutionary trend. In the wake of this tendency, this paper proposes a novel, IoT-aware, smart architecture for automatic monitoring and tracking of patients, personnel, and biomedical devices within hospitals and nursing institutes. Staying true to the IoT vision, we propose a smart hospital system (SHS), which relies on different, yet complementary, technologies, specifically RFID, WSN, and smart mobile, interoperating with each other through a Constrained Application Protocol (CoAP)/IPv6 over low-power wireless personal area network (6LoWPAN)/representational state transfer (REST) network infrastructure. The SHS is able to collect, in real time, both environmental conditions and patients' physiological parameters via an ultra-low-power hybrid sensing network (HSN) composed of 6LoWPAN nodes integrating UHF RFID functionalities. Sensed data are delivered to a control center where an advanced monitoring application (MA) makes them easily accessible by both local and remote users via a REST web service. The simple proof of concept implemented to validate the proposed SHS has highlighted a number of key capabilities and aspects of novelty, which represent a significant step forward compared to the actual state of the art.

[1]  Wan-Young Chung,et al.  Wireless Machine-to-Machine Healthcare Solution Using Android Mobile Devices in Global Networks , 2013, IEEE Sensors Journal.

[2]  Widad Ismail,et al.  Embedded RFID tracking system for hospital application using WSN platform , 2013, 2013 IEEE International Conference on RFID-Technologies and Applications (RFID-TA).

[3]  Ingrid Moerman,et al.  Facilitating the creation of IoT applications through conditional observations in CoAP , 2013, EURASIP J. Wirel. Commun. Netw..

[4]  Wilhelm Stork,et al.  Empirical Analysis and Ranging Using Environment and Mobility Adaptive RSSI Filter for Patient Localization during Disaster Management , 2009, 2009 Fifth International Conference on Networking and Services.

[5]  Luis Alonso,et al.  WSN4QoL: A WSN-Oriented Healthcare System Architecture , 2014, Int. J. Distributed Sens. Networks.

[6]  Shah Mihir Rajesh,et al.  Integration of Active RFID and WSN for real time low-cost data monitoring of patients in hospitals , 2013, 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE).

[7]  Jeroen Hoebeke,et al.  Conditional observe in CoAP , 2014 .

[8]  Pedro Castillejo,et al.  Integration of wearable devices in a wireless sensor network for an E-health application , 2013, IEEE Wireless Communications.

[9]  Chao Chen Design of a Child Localization System on RFID and Wireless Sensor Networks , 2010, J. Sensors.

[10]  Marco Tagliasacchi,et al.  An integrated system based on wireless sensor networks for patient monitoring, localization and tracking , 2013, Ad Hoc Networks.

[11]  Danilo De Donno,et al.  RAMSES: RFID Augmented Module for Smart Environmental Sensing , 2014, IEEE Transactions on Instrumentation and Measurement.

[12]  Maria Laura Stefanizzi,et al.  Implementation and validation of an energy-efficient MAC scheduler for WSNs by a test bed approach , 2012, SoftCOM 2012, 20th International Conference on Software, Telecommunications and Computer Networks.

[13]  Luca Catarinucci,et al.  Advances in the design of smart, multi-function, RFID-enabled devices , 2014, 2014 IEEE Antennas and Propagation Society International Symposium (APSURSI).

[14]  Zhou Xiaoguang,et al.  The research of network architecture in warehouse management system based on RFID and WSN integration , 2008, 2008 IEEE International Conference on Automation and Logistics.

[15]  Danilo De Donno,et al.  Integrating Passive UHF RFID Tags with WSN Nodes: Challenges and Opportunities , 2014 .

[16]  Michele Ruta,et al.  CoAP-based healthcare sensor networks: A survey , 2014, Proceedings of 2014 11th International Bhurban Conference on Applied Sciences & Technology (IBCAST) Islamabad, Pakistan, 14th - 18th January, 2014.

[17]  Abdulsalam Yassine,et al.  Equipment Location in Hospitals Using RFID-Based Positioning System , 2012, IEEE Transactions on Information Technology in Biomedicine.

[18]  Gaetano Marrocco,et al.  NIGHT-Care: A Passive RFID System for Remote Monitoring and Control of Overnight Living Environment , 2014, ANT/SEIT.

[19]  Luca Mainetti,et al.  Evolution of wireless sensor networks towards the Internet of Things: A survey , 2011, SoftCOM 2011, 19th International Conference on Software, Telecommunications and Computer Networks.

[20]  Roberto Garello,et al.  Hybrid Indoor Positioning Approaches Based on WSN and RFID , 2011, 2011 4th IFIP International Conference on New Technologies, Mobility and Security.

[21]  Luca Catarinucci,et al.  A Battery-Assisted Sensor-Enhanced RFID Tag Enabling Heterogeneous Wireless Sensor Networks , 2014, IEEE Sensors Journal.

[22]  Maria Laura Stefanizzi,et al.  Performance Evaluation of an Energy-Efficient MAC Scheduler by using a Test Bed Approach , 2013 .

[23]  Dominique Guinard,et al.  Building a Smart Hospital using RFID Technologies , 2006, ECEH.

[24]  Luca Catarinucci,et al.  SWITCHED-BEAM ANTENNA FOR WIRELESS SENSOR NETWORK NODES , 2013 .

[25]  T. Wark,et al.  Wireless localisation network for patient tracking , 2008, 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[26]  Danilo De Donno,et al.  Integration of UHF RFID and WSN technologies in healthcare systems , 2014, 2014 IEEE RFID Technology and Applications Conference (RFID-TA).