1. «IoT-based Surveillance System for Ubiquitous Healthcare»
42nd Annual Conference of the IEEE Industrial Electronics Society
«IoT-based Surveillance System for Ubiquitous Healthcare»
Andreas P. Plageras, University of Macedonia, Greece
Kostas E. Psannis, University of Macedonia, Greece
Yutaka Ishibashi, Nagoya Institute of Technology, Japan
Byung-Gyu Kim, Sookmyung Women’s University, Korea

2. Contents Internet of Things (IoT) Cloud Computing (CC)
Wireless Sensors Networks (WSN)
High Efficiency Video Coding (HEVC)
Proposed Architecture
Conclusions

3. Purpose The aim is to improve Healthcare, so as to become: Objectives:
more accessible
and faster
Objectives:
The understanding of new technologies
The contribution of new technologies
The motivation of the crowd
Healthcare passes from treatment to prevention

4. Internet of Things (IoT)
Internet of Things (IoT) = every physical object will have a unique IP address
IPv6 = “identity”
Mobile Health (m-health)
Remote health services
Reduce medical errors:
Prompt (online) information
Direct conversation of patient and doctor
The remote monitoring/supervision of the patient
Better organization of medical records
The timely updating of the physician-nurse

5. Cloud Computing (CC) The Cloud Computing (CC) is:
“A new information field, which provides new perspectives in networking technologies and raises issues in architecture, design, and implementation of existing networks and data centers”
An integral part of the patients’ healthcare systems and monitoring
The purpose is to make the ways of
providing healthcare
more accurate
more economical
and safer
The increase of the storage capacity, the computing, and the low cost
Boost patients’ healthcare in the “Cloud”

6. Wireless Sensor Network (WSN)
..monitoring, data collection, and measurement of different environmental and physical data
Various problems:
Chronic diseases, heart problems, heart attacks, serious accidents
Timely information
Better organization
Improving diagnosis
More accurate health data
and shorter treatment

7. High-Efficiency Video Coding (HEVC)
Twice video transmission rate of the AVC
Reduced delivery and storage costs
Reduce file size up to 50%

8. “All4Health”

9. Topology (1) Mesh Topology The most important advantage is:
The strength that has this topology due to the errors
There is no a Single Point of Failure, SPoF
One advantage of the Full duplex mesh topology is the extension of coverage

10. Topology (2)

11. System Overview (1) Physical Layer and Data Link Layer
The IEEE standard
Lower data rate
Lower power
Lower cost
The IEEE standard is used:
in the Physical Layer
in the Data Link Layer
In the Media Access Control (MAC) Layer
In the 6LoWPAN Adaptation Layer
The 6LoWPAN:
Uses encapsulation and header compression mechanisms
Provides high reliability, energy efficiency, mobility, flexibility, and low cost

12. System Overview (2) Network Layer
The addressing and the routing
Uses the IP (Internet Protocol)
Assigning a unique IPv6 address to each device
IP addresses should be adapted:
Low bandwidth
Low power
Low cost networks

13. System Overview (3) Transport Layer
Starting communication between devices’ applications
The User Datagram Protocol (UDP):
Used to transfer data
Supports low latency
It is faster than TCP

14. System Overview (4) Application Layer
Constrained Application Protocol (CoAP)
It supports devices that operate primarily on battery
Similar to the Hypertext Transfer Protocol (HTTP)
without using TCP
The CoAP compresses the HTTP data to send less data through the wireless link

15. System Overview (5) Protocols OSI Layers CoAP over UDP
Application Layer
(DTLS used for security)
Transport Layer
IPv6
Network Layer
6LoWPAN
Adaptation / Data Link Layer
MAC
Data Link Layer
PHY
Physical Layer

16. Using ΗΕVC (High Efficiency Video Coding)
The High Efficiency Video Coding is the new successor after the Advanced Video Coding (AVC)
Over 50% better video compression

17. Using SHVC (1) (Scalable High Efficiency Video Coding)
The failure of sending data prompted many researchers to extend the HEVC coding to Scalable High Efficiency Video Coding (SHVC)
The role of SHVC:
Base Layer (BL)
Enhancement Layer (EL)
Approximately 40-60% lower data rate

18. Using SHVC (2) (Scalable High Efficiency Video Coding)

19. Security Health information are personal The IoT will never be safe
In every layer there are security mechanisms
The AES-128 => data link layer security
The 6LoWPAN provides secure delivery of data packets
Transport layer => DTLS (Datagram Transport Layer Security) security mechanisms
The security mechanisms of Wi-Fi: WPA2 and CCMP
The security mechanisms, which are provided by the cloud

20. The proposed architecture over the other architectures

21. Results (1)

22. Results (2)

23. Results (3)

24. Conclusions The proposed architecture is innovative
The analysis results show encouraging
The advantages are quite & multifarious
The bandwidth and throughput show reduced
The system has not been implemented yet and the results are based on the theoretical background and other researchers’ delineated systems
The limited energy and the various security issues are limitations in the implementation of the system

25. References
Tuan Nguyen Gia, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, and Hannu Tenhunen, “Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring”, Sensors Applications Symposium (SAS), Pages: 1-6, 2015 IEEE, June 2015.
Anurag, Sanaz Rahimi Moosavi, Amir-Mohammad Rahmani, Tomi Westerlund, Geng Yang, Pasi Liljeberg, and Hannu Tenhunen, “Pervasive Health Monitoring Based on Internet of Things: Two Case Studies”, Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference, Pages: , 2014.
K. E. Psannis, “HEVC in wireless environments”, Journal of Real-Time Image Processing, July 2015.
Ganashree T. S. and Josephine Prem Kumar. “Estimation based Error Reduction Scheme (EBERS) for Scalable HEVC to Support Real Time Video Communication in Wireless AD-HOC Networks”, International Journal of Emerging Science and Engineering (IJESE), Vol. 3, Issue: 2, ISSN: , December 2014.
K. E. Psannis, S. Xinogalos & A. Sifaleras, “Convergence of Internet of Things and Mobile Cloud Computing”, Systems Science & Control Engineering (An open access journal), Vol. 14, No. 1, Pages: , Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece, 2014.

26. Thank you for your time!!!