Feasibility of Gateway-Less IoT E-Health Applications

Machine-to-Machine (M2M) communications are a key enabler of Internet of Things (IoT) applications. One domain with growing interest in M2M/IoT is e-health, either for self-monitoring, home monitoring, or hospital systems. However, current sensing devices in this domain rely on short-range communication protocols that require a gateway (GW) for Internet connection. Smartphones have been proposed as GWs in mobile M2M communications due to their enhanced connectivity and sensing capabilities. However, the GW functionality impacts on the smartphone usability, causing undesirable battery depletion and the smartphone itself increases the overall cost of e- health solutions. In this work, we propose converging e-health devices and Wi-Fi towards direct Internet access through the existing Wi-Fi infrastructure and by-passing current GWs. We use recent low-cost ultra low-power Wi-Fi modules and feature them with M2M capabilities supporting their integration in an interoperable e-health framework. We present results on end-to-end latency and power requirements within a concrete e-health use case that show the feasibility of the proposed GW-less solution.

[1]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[2]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .

[3]  Feng Qian,et al.  A close examination of performance and power characteristics of 4G LTE networks , 2012, MobiSys '12.

[4]  Kwang-Cheng Chen,et al.  Machine-to-Machine Communications for Healthcare , 2012, J. Comput. Sci. Eng..

[5]  Pedro Brandão,et al.  Integrating data and network standards into an interoperable e-Health solution , 2014, 2014 IEEE 16th International Conference on e-Health Networking, Applications and Services (Healthcom).

[6]  Ara Darzi,et al.  Patient-Safety-Related Hospital Deaths in England: Thematic Analysis of Incidents Reported to a National Database, 2010–2012 , 2014, PLoS medicine.

[7]  K. Hillman,et al.  Effectiveness of continuous or intermittent vital signs monitoring in preventing adverse events on general wards: a systematic review and meta‐analysis , 2016, International journal of clinical practice.

[8]  Iain Robertson-Steel,et al.  Evolution of triage systems , 2006, Emergency Medicine Journal.

[9]  Daryl A Jones,et al.  Defining clinical deterioration. , 2013, Resuscitation.

[10]  António Pinto,et al.  Experimental Characterization of Mobile IoT Application Latency , 2017, IEEE Internet of Things Journal.

[11]  Asuman Dogac Interoperability in eHealth Systems , 2012 .

[12]  Eduardo Casilari-Pérez,et al.  On the Capability of Smartphones to Perform as Communication Gateways in Medical Wireless Personal Area Networks , 2014, Sensors.

[13]  Carlos Pereira,et al.  Smartphones as M2M gateways in smart cities IoT applications , 2016, 2016 23rd International Conference on Telecommunications (ICT).

[14]  Gary L. Kreps,et al.  New directions in eHealth communication: opportunities and challenges. , 2010, Patient education and counseling.

[15]  Hamid Sharif,et al.  A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges , 2013, IEEE Communications Surveys & Tutorials.

[16]  David L. Mills,et al.  Network Time Protocol (Version 3) Specification, Implementation and Analysis , 1992, RFC.

[17]  M. Elliott,et al.  Critical care: the eight vital signs of patient monitoring. , 2012, British journal of nursing.