Message Scheduling for Personal Biomedical Sensing System in a Health Care Center

As various biomedical electronic devices supported by different network protocols are springing up in our living space, many development and researches focus on building a digital biomedical system by using modern techniques. To realize such a theme, the system architecture supporting biomedical services in a health care center should include a broker built in a single computer or an embedded system to coordinate various devices. The main challenge is how the future-proof biomedical devices can be easily integrated into the system. In this paper, we propose a practical skeleton to build a personal biomedical sensing system featuring integrability, extendibility and flexibility. The construction guidelines in the skeleton can ease the development and maintenance for developers. A practically realized case study validates the effectiveness of the proposed skeleton. Besides, the proposed scheduling scheme can stabilize the biomedical sensor messages. The period of sending messages could be changeable based on the shortest processing time rule. From the experimental results, the proposed scheme can reduce the waiting time and stabilize messages from biomedical sensors. The central control broker is very essential to handle the main process in the proposed scheme and to control the scheduling scheme of four biomedical sensors used in this research.

[1]  Timothy Winters,et al.  Virtualization of Home Network Gateways , 2014, Computer.

[2]  Nei Kato,et al.  Toward intelligent machine-to-machine communications in smart grid , 2011, IEEE Communications Magazine.

[3]  Abdul-Rahman Al-Ali,et al.  Java-based home automation system , 2004, IEEE Transactions on Consumer Electronics.

[4]  Ing-Yi Chen,et al.  A Remotely Manageable Electrocardiogram Measurement System for Home Healthcare Using OSGI Framework , 2004 .

[5]  Thomas Erl,et al.  Service-Oriented Architecture: Concepts, Technology, and Design , 2005 .

[6]  Jonathan Lee,et al.  Itinerary-Based Mobile Agent as a Basis for Distributed OSGi Services , 2013, IEEE Transactions on Computers.

[7]  Ware Myers,et al.  High Attendance Indicates Interest in Computer Communications , 1978, Computer.

[8]  Fulvio Corno,et al.  Domotic house gateway , 2006, SAC '06.

[9]  M. Rizwan Jameel Qureshi,et al.  A comparison of model view controller and model view presenter , 2014, ArXiv.

[10]  Daniel Díaz Sánchez,et al.  Optimizing resources on gateways using OSGi , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[11]  Jenq-Shiou Leu,et al.  Improving Heterogeneous SOA-Based IoT Message Stability by Shortest Processing Time Scheduling , 2014, IEEE Transactions on Services Computing.

[12]  R.J.C. Nunes A Web-based approach to the specification and programming of home automation systems , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[13]  Marko Becker,et al.  Service Oriented Architecture Concepts Technology And Design , 2016 .

[14]  F StarsinicMichael,et al.  System architecture challenges in the home M2M network , 2010, LISAT 2010.

[15]  Soon-Ju Kang,et al.  Design of Home Network Gateway for Real-Time A/V Streaming between IEEE1394 and Ethernet , 2007, IEEE Transactions on Consumer Electronics.

[16]  Zoubir Mammeri,et al.  Scheduling in Real-Time Systems , 2002 .

[17]  Michael Starsinic System architecture challenges in the home M2M network , 2010, 2010 IEEE Long Island Systems, Applications and Technology Conference.

[18]  Antonio F. Gómez-Skarmeta,et al.  An Integral and Networked Home Automation Solution for Indoor Ambient Intelligence , 2010, IEEE Pervasive Computing.