Faculty of Technical Sciences

Subject: Geosensor networks (17.GI537)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Professional-applicative
Scientific or art field Geoinformatika
Interdisciplinary No
ECTS 5
Educational goal:

Students learn about theoretical and practical facts about geosensor networks

Educational outcome:

This knowlege used for solution of practical engineering problems

Course content:

Geosensor networks types. Characteristics of geosensor networks (wireless communicattion protocols, network topology, data acquisition and processing). Types of geosensors and characteristics. Distributed data acquisition and processing, centralized and decentralized algorithms. Applications of geosensor networks, offline and online work, data protection.

Teaching methods:

Teaching forms: lectures, computer-laboratory practice, consultations, individual elaboration of obligatory tasks. Knowledge evaluation: guided and individual elaboration of obligatory tasks, 50%, final examination – oral form, 50%.

Literature:
Authors Title Year Publisher Language
Matt Duckham Decentralized Spatial Computing Foundations of geosensor networks 2013 Springer English
Anthony Stefanidis, Silvia Nittel (editors) GeoSensor Networks 2004 CRC Press, USA English
Lj. Gavrilovska, S. Krco, V. Milutinović, I. Stojmenović, R. Trobec Application and Multidisciplinary Aspects of Wireless Sensor Networks 2011 Springer-Verlag, London English
D. Wagner, R. Wattenhofer (editors) Algorithms for Sensor and Ad Hoc Networks 2007 Springer-Verlag, Berlin English
I. Stojmenović (editor) Handbook of Sensor Networks - Algorithms and Arhitectures 2005 Willey and Sons, New Jersey English
C. S. Raghavendra, K. M. Sivalingam, T. Znati Wireless sensor networks 2004 Kluwer academic publishers English
C. Cordeiro, D. Agrawal Ad Hoc and Sensor Networks 2006 World Scientific Publishing, Singapore English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Theoretical part of the exam No Yes 50.00
Complex exercises Yes Yes 40.00
Lecture attendance Yes Yes 5.00
Exercise attendance Yes Yes 5.00
Lecturers:
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Asistent sa doktoratom Bugarinović Željko

Assistant with PhD

Computational classes
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prof. dr Ristić Aleksandar

Full Professor

Lectures

prof. dr Sladić Dubravka

Full Professor

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.