Iot and cloud computing on pervasive healthcare

2. Presented By
Md Nazrul Islam Roxy
Email: nazrulislam.roxy@gmail.com
Facebook: https://www.facebook.com/nazrulislam.roxy.5

3. Presentation on
• Bringing IOT and Cloud Computing Towards Pervasive Healthcare
• Integrated Sensors System Based on IoT and Mobile Cloud Computing
• A Cloud-IoT Based Sensing Service for Health Monitoring

4. Cloud computing is a general term for the delivery of hosted services
over the internet.
 Cloud Services
 Infrastructure as a Service (IaaS) is the virtual delivery of computing
resources in the form of hardware, networking, and storage services.
 Platform as a Service (PaaS) is a way to rent hardware, operating
systems, storage and network capacity over the Internet.
 Software as a Service (SaaS) is a model for the distribution of
software where customers access software over the Internet

5. The Internet of Things (IoT) is a system of interrelated computing devices,
mechanical and digital machines, objects, animals or people that are provided
with unique identifiers and the ability to transfer data over a network without
requiring human-to-human or human-to-computer interaction.

6. Bringing IOT and Cloud Computing Towards Pervasive Healthcare
Charalampos Doukas
Dept. of Information & Communication Systems Engineering
University of the Aegean
Samos, Greece
Ilias Maglogiannis
Dept. of Computer Science & Biomedical Informatics
University of Central Greece
Lamia, Greece

7. Introduction
 The pervasive healthcare enabled the awareness towards the
independent living of elderly people and the need for constant
medical supervision of chronic patients or habitants at remote,
isolated or underserved locations.
. This paper presents a platform based on Cloud Computing for
management of mobile and wearable healthcare sensors,
demonstrating this way the IoT paradigm applied on pervasive
healthcare

8. Goal
• Sensor based data collection.
• Communication APIs.
• Storage medium.
• Linked via mobile phone.
• Collect information from anywhere.
• Automated query processing.
• Easy to access.

9. Methods
The proposed architecture: Appropriate APIs and web-based applications deployed on the Cloud provide the essential
communication channels for sensors, caregivers and business stakeholders

10. • The wearable and mobile sensors that acquire patient biosignals, motion and contextual
information.
• The sensor gateway that collects all the signals from the sensors and forwards them to the
Internet. It can be a mobile phone or a microcontroller platform capable of communicating with
the Internet. It also forwards information about the status of the sensors (e.g., proper operation,
power source levels, etc.).
• The communication APIs that are provided by the Cloud platform. The latter are lightweight
interfaces (like REST Web Services) than can be used by the sensor gateways for sending sensor
data and retrieving information. The API can also be utilized by external applications for data
processing, alert management, billing, etc
• The managing application consists of a web-based application that is updated real time and
provides visualization of the sensor data and important information about the patient’s context .

11. • The Cloud infrastructure that hosts the interfaces and the managing application. It provides the
essential resources (like CPU, storage and application servers) for deploying the web application
and the interfaces that enable the communication with the sensors and the various external
systems
The major features of the proposed architecture are its scalability, interoperability and lightweight
access. It is scalable due to the fact that it relies on a Cloud infrastructure that provides resources
based on utilization and demand.

12. An Instance of the web application deployed on
the cloud that presents real time information
about the acquired sensor data .

13. Discussion
The presented system is unique as a dedicated solution for managing patient-related data on the
cloud and that utilizes both open hardware and open software resources for developing the
hardware and software parts of the platform. Based on IoT functional principles and design it allows
direct communication of the sensor devices with the Cloud application, uses a lightweight REST-
based API used and at the same time it is highly scalable in the context of data stored, users and
sensors supported.

14. Integrated Sensors System Based on IoT and
Mobile Cloud Computing
Majed AlOtaibi
Department of Computer Engineering,
Umm Al-Qura University, Mecca 21955, Saudi Arabia
Yaser Jararweh
Jordan University of Science and Technology,
Irbid, Jordan
Lo'ai A. Tawalbeh
Department of Computer Engineering,
Umm Al-Qura University, Mecca 21955, Saudi Arabia

15. Introduction
The advances in IT sector, cloud computing, the wide usage of sensors
and mobile devices, and the Internet-of-Things (IoT) made our world
looks like a small town. These rapid developments keep us connected
all the day and seven days a week. Also, the IoT enables the connection
of the devices around us (including different sensors) to the internet via
different wireless and wired communication technologies. These
networked sensors can be used to collect different types of data from
different applications (healthcare, agriculture, civil and social life) and
send it for processing and extraction of appropriate decisions.

16. Goal P2
This paper present the IoT concept and architecture, and associated
technologies with IoT. Then build a multi-purpose integrated sensors
system that consists of networked sensors for different purposes and
applications

17. Associated Technologies With IoT
There are many recent technologies that helped in the spread and
elevation of IoT.
 Radio Frequency Identification (RFID)
 Wireless sensor network
 Cloud/Mobile Cloud Computing
 Networking Technologies
 Micro-Electro-Mechanical Systems (MEMS) Technologies

18. Discussion
The mobile devices and their useful usage made our life more
comfortable. Also, the recent technologies such as IOT and the mobile
cloud computing technology allows the integrating sensors and mobile
devices applications to utilize the cloud services we build a multi-
purpose integrated sensors system. These networked sensors can be
used to collect different types of data from different applications
(healthcare, agriculture, civil and social life) and send it for processing
and extraction of appropriate decisions.

19. A Cloud-IoT Based Sensing Service for Health
Monitoring
Gabriel Neagu
Dept. of Intelligent and Data Intensive Distributed Systems,
National Institute for R&D in Informatics Bucharest, Romania
Ştefan Preda
Dept. of Intelligent and Data Intensive Distributed Systems,
National Institute for R&D in Informatics Bucharest, Romania

20. Introduction
In the context of demographic ageing the Ambient Assisted Living is a
priority approach in healthcare for elderly, with health monitoring (HM)
as a central activity. The Cloud-IoT architecture integrates cloud
computing and Internet of Things technologies to highlight the
advantages derived from their complementarities. The sensing service
is aimed at improving the sensor data accessibility and usage.

21. Goal P3
The paper proposes an HM oriented Sensing Service scenario (HM-SS)
with the aim to improve the service quality and accessibility,
considering the increasing interest for this service which comes not
only from large medical facilities but also from small ones (clinics,
general practitioners) where the outpatient setting is specific. The
interaction of the medical staff with the sensing service provider for the
service setting up and its operation is detailed and main
implementation rules are formulated.

22. The Proposed scenario
1. negotiation on sensor data publishing;
2. offer building on sensing services (sensor devices, published sensor data,
data analysis and visualization); (2a) integration of extended services with
published sensor data within this offer;
3. contract conclusion on accessing sensing services;
4. selection of sensing services an activation of access rights;
5. provision of prescribed sensor devise and necessary information on wearing
and using it, recommendations for special /emergency situations during the
monitoring period;
6. access to up-to-date monitoring data, alerts, and decision support
information;
7. access to selected monitoring data and warning information.

23. Discussion
The paper was focused on the sensing service that aims at improving the efficiency
of sensor data usage, based on cloud technology. An HM specific implementation
scenario was proposed which is centred on the SSP role with the advantage of
improving service quality, expend service accessibility for small and medium
medical facilities oriented on outpatient setting, minimizing medical staff’s effort to
setup and operate the service.

24. Paper1 Vs Paper2 Vs Paper3
Paper 1 Paper 2 Paper 3
Goal Sensor based data collection,
Stored for future uses.
Automated query processing
build a multi-purpose
integrated sensors system
sensing service that aims
at improving the efficiency
of sensor data usage, based
on cloud technology
Security Not focused Not focused Not focused
Platform Cloud service ( PaaS) & IoT Connect with Cloud Service Cloud and IoT platform

25. References
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Coding Support for Mobile Access to DICOM Images Over Heterogeneous Radio Networks”, IEEE
Transactions on Information Technology in Biomedicine, vol.13, no.4, pp.458-466, 2009.
[3] Yuriyama M., Kushida T., "Sensor-Cloud Infrastructure - Physical Sensor Management with
Virtualized Sensors on Cloud Computing," Network-Based Information Systems (NBiS), 2010 13th
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[4] Ofer Shimrat.: Cloud Computing and Healthcare. San Diego Physician, pp. 26-29 (2009) [5]
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[6] Amazon Web Services (AWS), http://aws.amazon.com/
[7] ~Okeanos cloud services for the Greek academic community, http://okeanos.grnet.gr
[8] Pithos network storage service for the Greek academic community, http://pithos.grnet.gr