Subject Specifications for the Book of Subjects

Study programme

Traffic

Option field (Module)

 

Type and level of study

Ph.D studies

Name of subject

Modeling and design of smart sensors

Lecturer (for classes)

Nenad J. Jevtić

Lecturer/teaching associate (for practical classes)

Nenad J. Jevtić

Lecturer/teaching associate (for OTC)

Nenad J. Jevtić

ESPB

7

Status of subject (compulsory/optional)

otional

Admission requirement(s)

no requirements

Subject aims

Mastering the procedures and tools for modeling, simulation and practical realization of smart sensors. Introducing students with characteristics of smart sensors, their architecture, implementation models and possibilities for their networking.

Subject outcome

After passing the final exam, the student should be able to independently select a suitable sensor and an appropriate interface for network connection in accordance with the given requirements, then to create a simulation model and perform the practical realization of the smart sensor. In addition, the student should be able to design a complex sensor system for application in various sensor network applications.

Subject contents

Theoretical teaching

Basic sensor characteristics. Hardware and software architecture for smart sensors. Methods for connecting the sensor with the controller. Sensor signal processing. Types of network interfaces and basic protocols for network communication. Analysis of wireless interfaces and their applications in complex sensor networks. Models for simulating wireless interfaces and real wireless sensor networks. Simulations of wireless networks within the network simulators NS3 and OMNET ++. Models for smart sensors and actuators implementation. Overview of basic standards for the implementation of smart sensors. Sensor modeling according to ISO / IEC / IEEE 21451. Applications of smart sensors and sensor networks.

Practical teaching
(practical classes, OFT, study research work)

theoretical and practical independent research work

Literature/Reading list

1

Y. Lin, C. Kyung, H. Yasuura, Y. Liu, "Smart Sensors and Systems", Springer, 2015.

2

F. Randy, "Understanding Smart Sensors", 3rd Edition, Artech House, 2013.

3

R. Jurdak, "Wireless Ad Hoc and Sensor Netwoks", Springer 2007.

4

M. Bhuyan, "Intelligent Instrumentation: Principles and Applications", CRC Press, 2017.

5

N. Jevtić, "Automatic configuration of distributed measurement systems based on transducer electronic data sheets", Ph.D thesis, University of Belgrade, School of electrical engineering, 2015.

Number of active teaching classes per week during semester/term/year

Lectures

Practical classes          

OFT 

Study research work     

Other classes

3

0

0

1

6

Teaching methods

 Lectures ex-catedra.

Knowledge assessment (the maximum number of credits is 100)

Preexamination obligations    

points

Final examination    

points

the student’s activity during lectures       

 

written examination

 

practical teaching       

 

oral examination

50

tests

 

 

 

seminars

50