IDENTIFYING DATA 2023_24
Subject (*) TECHNOLOGIES FOR SENSOR NETWORKS, THE INTERNET OF THINGS AND SMART CITIES Code 17244121
Study programme
Bach. Degree in Telecommunication Systems and Services Engineering (2016)
Cycle 1st
Descriptors Credits Type Year Period
4.5 Compulsory Third 2Q
Language
Català
Department Electronic, Electric and Automatic Engineering
Coordinator
GIRBAU SALA, DAVID
E-mail david.girbau@urv.cat
pere.rafols@urv.cat
iker.bilbao@urv.cat
Lecturers
GIRBAU SALA, DAVID
RÀFOLS SOLER, PERE
BILBAO ARESTÉ, IKER
Web
General description and relevant information <br />

Competences
Type A Code Competences Specific
 RT1 Have the ability to autonomously learn new techniques and to acquire suitable knowledge for conceiving, developing and exploiting telecommunication systems and services.
 RT6 Have the ability to conceive, deploy, organize and manage telecommunications networks, systems, services and infrastructures in residential (home, urban and digital communities), business and institutional contexts, accept responsibility for setting up and continuously improving them, and understanding their economic and social impact.
 ST1 Ability to understand, construct, exploit and manage telecommunications networks, services, processes and applications as transmission systems for capturing, transporting, representing, processing, storing, managing and presenting multimedia information.
 ST2 Ability to apply the techniques used in the transmission systems of telecommunications networks, services and applications, including telephony, broadcasting, television and data, and in fixed, mobile, personal, local or distant environments with different bandwidths.
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 RT1 Understand current home automation systems and their applications
 RT6 Acquire the knowledge needed to design sensor networks
 ST1 Understand the different wireless technologies and their applications in M2M communications environments and smart cities.
 ST2 Understand and know how to use wireless sensors based on the Zigbee protocol
Understand the RFID and NFC systems and apply them to the internet of things
Type B Code Learning outcomes
Type C Code Learning outcomes

Contents
Topic Sub-topic
1. Introduction
2. Internet of Things (IoT) - Concepts IoT/IoE/M2M
- Technologies for IoT
- Examples
3. Wireless sensor networks (WSN) - Concept
- Elements and network topologies
- Architecture
- Application examples
- Commercial modules

4. Smart cities i domotics - Concept of smart city
- Technologies for smart cities
- Exemples of smart cities
- Concept of domotics and smart home
- Standards and protocols, KNX
- Examples of domotic deployments.

5. RFID and NFC technologies - RFID
o Concept and applicacions
o Working principle
o Commercial RFID

- NFC
o Concept and applications
o Working principle
o Commercial NFC

6. ARM in SoC aplied to IoT - Concept SoC
- Introduction to ARM
- SoC with ARM microcontroller for IoT
- Example: Silicon Labs EFR32
7. High level software structures for IoT - Abstraction concept
- Lybraries and API
- Operational systems and Application Framework
- Development 'cross-platorm'
- Example: Silicon Labs EFR32
8. Zigbee with EFR32 - Network topology
- Routing
- Zigbee Stack
- Zigbee Cluster Library
9. Energy management - Periferial deactivation
- Energy modes
- Clock management (CMU)

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
1 1.5 2.5
Lecture
RT1
RT6
ST1
ST2
11 16.5 27.5
Laboratory practicals
RT1
RT6
ST1
ST2
30 45 75
Personal attention
1 1.5 2.5
 
Multiple-choice objective tests
RT1
RT6
ST1
ST2
1 1.5 2.5
Extended-answer tests
RT1
RT6
ST1
ST2
1 1.5 2.5
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Introduction to the course
Lecture Explanation at class of the theoretical concepts
Laboratory practicals Work at laboratory to practice the concepts explained in the lectures
Personal attention Personal attention at the office and by e-mail

Personalized attention
Description

Assessment
Methodologies Competences Description Weight        
Laboratory practicals
RT1
RT6
ST1
ST2
Avaluation of lab work


40%

Multiple-choice objective tests
RT1
RT6
ST1
ST2
Test examen 35%
Extended-answer tests
RT1
RT6
ST1
ST2
Lab exam 25%
Others  
 
Other comments and second exam session

In all the exams (1a i 2a call) only non-programmable scientific calculator can be used, no other electronic devices.

1st call:

- In order to succeed, all avaluative subjects must have a grade of 4 or higher and the global grade of the course must be equal or higher than 5.

2n call:

- Exams that have a grade under 4 in the 1st call will have to be repeated, and the global grade of the course must be equal or higher than 5. 


Sources of information

Basic

- D. Girbau, R. Villarino, P. Ràfols, Apunts de l’assignatura, Moodle.

Complementary

- Werner Harke, Domótica para viviendas y edificios, Marcombo, 2010

- Klaus Finkenzeller, RFID handbook, John Wiley & Sons, cop., 2010

- Shahin Farahani, ZigBee Wireless Networks and Transceivers, Ed. Elsevier, 2008

Recommendations

Subjects that continue the syllabus
MOBILE SENSORS AND TECHNOLOGIES LABORATORY/17244132

Subjects that are recommended to be taken simultaneously
SENSORS AND INSTRUMENTATION/17244118

Subjects that it is recommended to have taken before
MICROCONTROLLERS AND EMBEDDED SYSTEMS/17244117
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.