[PDF] Use of Open-Source Internet of Things Platform in Education Projects

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2018 Global Smart Industry Conference (GloSIC)

978
-1-5386-7386-7/18/$31.00 ©2018 IEEE Use of Open-Source Internet of Things Platform in

Education Projects

Alexandr A. Zaharov

Dept. of Mathematics and

Computer Science

University of Tyumen

Tyumen, Russia

a.a.zakharov@utmn.ru Olga V. Nissenbaum

Dept. of Mathematics and

Computer Science

University of Tyumen

Tyumen, Russia

o.v.nissenbaum@utmn.ru Kirill Y. Ponomarov

Dept. of Mathematics and

Computer Science

University of Tyumen

Tyumen, Russia

k.y.ponomaryov@utmn.ru Andrey V. Shirokih

Dept. of Mathematics and

Computer Science

University of Tyumen

Tyumen, Russia

a.v.shirokhih@utmn.ru Abstract - Recently, education is rapidly changing, moving away from the classroom system with libraries and expensive books towards an open e-learning. Knowledge is made more accessible through e-learning systems, online courses, wikis, blogs, vlogs, podcasts, p2p networks. The use of open platforms allows both the use of open source software to create their own projects and complement the platform's capabilities with its own developments: algorithms and protocols. In this article, we'll review the existing educational projects, based on the FIWARE platform, which are developed by different teams. We will also examine in detail the possibilities of IoT open platform usage and our experience in the following areas: implementation of practical, course and graduate work on Information Security (Cryptography, Network Security, Internet of Things), Programming Languages, Data Analysis, Big Data, Industrial Networks, Telemedicine Systems, Distributed Control Systems, etc.

Keywords -

IT education, open platform, Internet of Things,

information security, student project, FIWARE, Packet Tracer, industry 4.0 I. INTRODUCTION The term "technical revolutions" is usually used to order significant stages in the development of scientific and technical progress associated with the introduction of discoveries, inventions or their collections, leading to significant changes in the means of production, technology and the technical level of society as a whole. At present, the status of precursors of the next scientific and technological revolution is called Industry

4.0. claims innovations in such areas as "Internet of Things"

(IoT), "Smart Technologies", "Cloud Technologies", "Internet of the Future". Their implementation can transform not only production, but also various spheres of public life [1]. A few years ago, such technologies seemed "a distant future." But now this is reality. Now predicted, that the Internet will interconnect 50 billion IoT by 2020 [2]. Therefore, the issues of effective modernization of the educational process that meet the new requirements for the competencies of students studying in IT professions are relevant. A set of core technologies by which future professionals will be able to create useful applications for Industry 4.0 tasks is called the IoT platform. This is a key tool for developing applications and services integrating the Network and physical objects. Following [3,4], we determine the minimum required components of a full IoT platform:

1. Connectivity & normalization: reduction of various

protocols and data formats into one "software" interface, which guarantees accurate data transfer and interaction with all devices.

2. Device management: ensuring correct, uninterrupted

operation of the connected IoT, their configuration, installation of updates, not only for IOT software itself, but also for applications running on the device or edge gateways.

3. Database: - Scalable storage of data received from IoT. 4. Processing & action management: the data received

from IoT ultimately affects the events. Therefore, the "platform" must be able to build processes, "event triggers" and other "smart actions" based on specific data received from the sensors.

5. Analytics: the data from Iot are valuable in themselves.

Therefore, a set of tools for clustering, analysis and deep machine learning right up to predictive analytics is a must for the platform.

6. Visualization: a convenient interface is needed to represent analytics results that allow you to build various

graphs and diagrams. It is also necessary to provide the ability to display in real time the data received from the IoT.

7. Additional tools:

A set of tools is required that allows

IoT developers to create and test prototypes using test data. It is advisable not to go deep into the code and hardcore programming.

8. External interfaces: platform integration is one of the

main features. The world of Internet development does not tolerate closed solutions. You may always need to transfer and

exchange data with third-party systems. Therefore, the IoT platform must have application programming interfaces (APIs),

software development kits (SDKs), and gateways. Naturally, the question arises about the optimal choice of a platform for teaching students. Here you can draw an an alogy with the choice of initial languages and auxiliary tools for teaching object-oriented programming technologies. But while for the training of software development technologies usually choose software from several dozen options, then for the IoT platforms the choice is much wider. According to the report of IoT Analytics, the leading provider of marketing information and strategic business analytics for

2018 Global Smart Industry Conference (GloSIC)

Industry 4.0 and Internet of Things (IoT), 450 companies created their IoT platforms in 2017, which is 25% more than in 2016.
In the vast list of IT vendors that created their platform, there are such well-known companies as Microsoft, Cisco, IBM, Huawei, Nokia, Amazon Web Services (AWS) IoT, Ericsson, Mitsubishi Electric, SilverSpring Networks (Itron), Signify (formerly Philips Lighting) and others . It is natural to pay for using a platform from a vendor. The cost of operating the platform depends on the number of serviced sensors. For example, for a Cisco platform, if you developed a parking prototype for three cars, the price is determined by such a number of parking spaces and will be very low. This approach allows you quickly test the performance of your prototype. You can save on buying server hardware or renting a virtual server on the cloud. II. U

SE OF OPEN SOURCE SOFTWARE IN EDUCATION

There are many reasons for adopting open source software for the university IT courses. Let consider the most significant of them.

1. Recently, in Russia we notice the growing process of

software licensing control in enterprises, universities, schools, and other organizations.

2. The integration of open source software to the

education processes will lead to the increasing of critical thinking, exactly its creative aspect. It motivates to the self-study and applying open source technologies in the professional activity [5].

3. The use cases and real projects of deployment open source technologies to the Industry 4.0 application domain [6-8].

4. In another side, an open source helps to avoid vendor

lock situations, and forwards students to the learning of fundamentals and protocols, instead of concrete software or hardware technologies. In University of Tyumen we use (as a rule) two learning and project IoT platforms: Cisco Network Academy (www.netacad.com) and FIWARE (www.fiware.org).

Network Academy consist different online courses

including Internet of Things. FIWARE allows students develop their own project: virtual and real. For training in network technologies, cisco has released a special simulator Packet Tracer 7.3. Using the simulator, you can develop both a logical model of the classical network infrastructure and add scripts for the Iot platform in Python, which determine the algorithms for the operation of sensors and smart Internet things. The created configuration files and scripts you can use for a real network without additional correction. III. FIWARE

BACKGROUND

A. FIWARE overview

Technically, Future Internet WARE (FIWARE) is the smart solution platform and market-ready open source software. More broadly, it's an independent open community whose members are follow to mission "to build an open sustainable ecosystem around public, royalty-free and implementation- driven software platform standards that will ease the development of new Smart Applications in multiple sectors" [9]. The FIWARE Community consists of technology contributors, individuals, organizations which maintenance and build the FIWARE ecosystem. The platform is a part of the

Future Internet

Public Private Partnership (FI-PPP) program

founded by the European Commission [10]. The main goal of this initiative is to build a global ecosystem for Smart Applications, IoT solutions, Big Data and Cloud Computing infrastructure.

In details, FIWARE is a framework of open source

platform components, which can be combine for the development of Smart Applications and IoT systems. Every component, called Generic Enabler (GE), provides particular advanced API for IoT elements: devices, users, networks, applications, and services. GE's are responsible for a number of functionalities: data/context management, authentication and authorization, web -based user interfaces, service discovery, device management, etc. FIWARE describes Referencequotesdbs_dbs3.pdfusesText_6

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