Provisioning Quality of Service of Wireless Telemedicine for E-health Services

Provisioning Quality of Service of Wireless
Telemedicine for E-health Services
Mustafa Almahdi Algaet, Zul Azri Bin Muhamad Noh, Abdul Samad Shibghatullah, Ali Ahmad Milad
Department of Computer system and Communication, Faculty of Information and Communication Technology,
Universiti Teknikal Malaysia Melaka. Hanng Tuha Jaya, 76100 Durian Tunggal, Melaka. Malaysia.
Abstract: Telemedicine is not yet all worked out where it can be
utilized constantly or flexibly. But, it has enormous potential to
be a tremendous asset to the world and all its civilizations.
Telemedicine has had a positive impact on some aspects of
patient care. There is no arguing that the contributions it can
make have endless possibilities however more time and effort
will be needed to organize telemedicine for it to be confidently
accepted. Asynchronous telemedicine does not require the
simultaneous availability of the source and recipient of patient
information. Telemedicine can be roughly characterized as
either synchronous or asynchronous. Synchronous telemedicine
involves caregivers acquiring and acting upon information
about a remote patient in near real-time.
Keywords: QoS , Telemedicine , e-Health
I. INTRODUCTION
A mobile telemedicine system that uses existing
infrastructure, could remove many hurdles, dramatically
expanding the reach of telemedicine as a clinical tool. Our
research has focused on developing such a tool. Our system
uses off-the-shelf hardware components and standard
cellular network data connections, to provide reliable, high
quality interactive video communication from moving
vehicles. The heart of our system is a novel technology that
adaptively and dynamically aggregates available wireless
networks, intelligently encodes and distributes video over
those networks, and degrades gracefully in the presence of
network disruptions.
II. PROBLEM STATMENT
— Current mobile telemedicine communication cannot
over quality of system guaranty which is critical technology
in wireless telemedicine for e-health service
— Wireless telemedicine require stretch packet
delivery reliability and the existing proposed scheme still
can not cater the requirement
— Many of proposed scheme not been tested in real
environment
III. ADVANTAGES
— A major advantage of telemedicine is avoiding the cost
of unnecessary transportation.
— e-Health, as an inter-jurisdictional enterprise,
presents risks to patient health data that involve not only
technology and professional protocols but also laws,
regulations and professional security cultures.
IV. OBJECTIVES
— To investigate the factor that affect performance of
mobile wireless.
— To analysis exiting quality of service solution and
propose new method to improve quality of service for
wireless telemedicine.
— To test and analyzing the proposed scheme in real
network environment.
V. SCOPE
— This work will be implemented over wireless
networks. The wired networks are not addressed here.
— The work will be implemented over peer-to-peer
network topology.
VI. LITERATURE REVIEW
Y. Yuan, D. Gu, W. Arbaugh and J. Zhang , proposed
analysis and design a QoS ontology The QoS Ontology have
been used to find the service to meet the QoS needs of users.
After that, we add the QoS ontology into our discovery
algorithm of web services.
H. Shang and Craig E. Wills , proposed can be used to
support the automatic discovery of web services with QoS
information. Considering the expressiveness of the
knowledge representation languages, we choose OWL as the
ontology modeling language, and we use the Protégé as
ontology editing tools to develop a web service QoS
ontology model.
— D.Gao and J.Cai , show that the 802.11e standard
provides a very powerful platform for QoS supports in
WLANs. They provide an extensive survey of recent
advances in admission control algorithms/protocols in IEEE
802.11e
— WLANsHu et al. have proposed a mobile sensor
network infrastructure to support the third-generation
telemedicine applications which uses an energy-efficient
query resolution mechanism in large-scale mobile sensor
networks and provides the guaranteed mobile QoS for
arriving multimedia calls.
— D.D.Vargos , he proposed several factors that
should be taken into account for data delivery in wireless
healthcare network:
• Availability;
• Confidentiality and privacy;
Proceedings of 2013 IEEE Conference on Information and Communication Technologies (ICT 2013)
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• Data delivery latency;
• Reliability, QoS Provision and Mobility Support.
VI. EXISTING ARCHITECTURE
The Management provides the data to the health care
domain.ie.Public
1. When the public receives the data they will give
acknowledgement to the physicians.
2. Now the data from sender to receiver or to the receiver to the
sender will be encrypted to store in the cloud server.
3. If the patient suffers heavy illness the doctors will check the
previous treatment details for the present treatment.
Figure 1 : existing architecture
VII. METHODOLGY
— The performance over wireless LANs has been
addressed by many researchers, the main goal was to
achieve a better throughput.
— Unlike the previous works, a QoS guaranteed
services mechanism will be developed to achieve the system
throughput comparing with previous related algorithms.
— In our work here we will design an algorithm to
make optimal bandwidth to the frame then, system
throughput by using concurrent transmission in mesh mode
will be enhanced.
— It can improve the utilization of bandwidth while
keeping the same QoS guaranteed services and introducing
no extra delay.
VIII. NATURE OF TELE-MEDICINE
Figure 2: nature of telemedicine
In Proposed Architecture I have Emergency health care unit,
Monitoring the patient details, Rural health center,
Navigating ship details, Intensive care unit.
1. So These will help the patients for their treatments as early
as possible without any delay.
2. This Architecture shows wireless medium that the data sends
through GSM(Global System for Mobile Communications)
or the Satellite.
3. If a people mets with an accident the information passes
through GSM or the satellite to the Intensive care unit.
4. After the information the Intensive care unit sends the details
to the doctors that they work in the base unit of Hospitals.
5. Then the doctor checks the signal where the accident happen
and he/she will be attending the place to give a treatment to
the patients.
6. So the advantage of this is patient no need to travel to the
hospitals.
7. They can get the treatment with experienced doctors in the
road-side.
8. That doctor will have a details of patients and h/she will be
submit to the hospital for the future use.
IX. WORKING OF WIRELESS TO MOBILE DEVICES
1. This is Architecture for wireless services.
2. We have a wireless LAN as a communicating layer to pass
the data via Internet cable modem to the hospitals.
3. We have to future enhancement to the Mobile devices like
PDA, etc.
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Figure 3: working of wireless to mobile devices
X. PROPOSED ARCHITECTURE
Figure 4: Architecture for Telemedicine and e-health
services.
The Flow from the patient and the doctor.
1. If you check from the Patient, First its start with an Interface
that the commands given by the patients through the camera
or the signal.
2. Then the corresponding data sends to the doctor with the
network connection via GSM, Satellite links .
3. The protocol used here is TCP/IP(Network layer).
4. The Flow from the Doctor checks the patients commands
that displays in the monitor.
5. The patients data will be stored in the database in the form
of hospital information system.
XI. SURVEY OF TELE-MEDICINE
Figure 5: survey of telemedicine
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Figure 6 : minimizing the costs growth
XII. EXPECTED RESULTS
Figure 7: real expected output to the system.
1. There are two users to the system
- Patients
- Doctors
2. So from the architecture the patients sents the data through
IP Interface to the Satellite via Transmitter.
3. The Satellite gives the data to the doctors via same IP
Interface.
4. The Doctors will be accessing the data through Video
conferencing and satellite signals.
REFERENCES
[1] S. P. Ran.” A model for Web services discovery with QoS [J]”. ACMSI
Gecom Exchanges, 2003, 4(1): pp. 1-10.
[2] V.X. Tran, H. Tsuji, R. Masuda. “A new QoS ontology and its QoS-
basedranking algorithm for Web services Simulation Modelling Practice
and Theory” 17,2009: pp. 1378-1398.
[3] H.Y. Liu, P.F.Qi,LihengGu ,”A Semantic distance measure for matching
web services , Proceedings” 2009 International Conference on
Computational Intelligence and Software Engineering, CiSE 2009
[4] V.X. Tran. “WS-QoSOnto:A QoS Ontology for Web Services”. IEEE
International Symposium on Service-Oriented System Engineering, 2008:
pp. 233-238.
[5] S.J. yao, C.X. Chen, L.M. Dang, W. Liu. “Design of QoS ontology about
dynamic web service selection”. Computer Engineering and Design, 2008,
29(6): pp. 1548-1500.
[6] E. Giallonardo and E. Zimeo, “More Semantics inQoS Matching,In Proc”. of
the IEEE Intl. Conf. on Service Oriented Computing and Applications,
IEEE Computer Society, pp. 163–171, 2007.
[7] I.V. Papaioannou, D.T. Tsesmetzis, I.G. Roussaki, M.E. Anagnostou. “A
QoS Ontology Language for Web-Services”. Proceedings of the 20th
International Conference on Advanced Information Networking and
Applications, 2006, pp. 101-106
[8] K. Ganapathy, “Telemedicine and neurosciences”. Journal of Clinical
Neuroscience 2005 Elsevier
[9] E.Henner ,W. Kluge, “Secure e-Health: Managing risks to patient health
data”. International journal of medical 7 6 ( 2 0 0 7 ) pp. 402–406
[10] F.Hu, S.Kumar, QoS Considerations in Wireless Sensor Networks for
Telemedicine. Proceedings of SPIE ITCOM Conference, Orlando, FL,2003
[11] D.D.Vergados. Simulation and Modeling Bandwidth Control in Wireless
Healthcar Information Systems. SIMULATION 2007.
[12] D. Gu, J. Zhang. QoS Enhancement in IEEE802.1 Wireless Local Area
Networks July 2003. .
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