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Sensor Networks and Applications

Szenzorhálózatok és alkalmazásaik
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
Subject name (Hungarian, English)
Szenzorhálózatok és alkalmazásaik
Sensor Networks and Applications
Subject code BMEVITMMA09
Subject type —
Training Level —
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 2 1 0
type (linked/independent) — derived course —
Assessment type vizsga
Credits 4
Subject coordinator
DR. Vidács Attila
position: egyetemi docens
Responsible department
Távközlési és Mesterséges Intelligencia Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website —
Primary curriculum type —
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

1. Software and hardware architectures of intelligent sensors. Hardware components of motes. Special operating systems for sensors (TinyOS, nesC, MOS).

2. Communication protocols: physical layer, sleep scheduling, time synchronization, data-link layer, medium access control.

3. Networking layer, energy- and location-aware routing, clustering, data-centric communication. Transport layer TCP-like protocols with low memory requirements. Application layer protocols (SMP, TADAP, SQDDP).

4. Sensor network architectures. WSN planning strategies. Topology construction and management, single- and multi-hop communication, energy-efficiency, topology control.

5. Event-, time- and query-driven control. In-network data aggregation. Mobility in WSNs, sink vs. node mobility, virtual mobility.  

6. Localization and tracking in WSNs, location-aware operation.

7. WSN simulation tools (tossim). Test networks (IoT-LAB). Standardisation (IEEE 802.15.4, ZigBee).

8. Security in WSNs. Secure data transfer. Critical infrastructure and its protection. Distributed attacks and defense.  

9. Crowdsourcing and crowdsensing applications. Scholarship mechanisms.

10. Sensitive data in WSNs. Data availability, access rights. User authentication and tracking. Anonimty in WSNs.

11. Typical WSN application domains. Case studies. Smart city pilot projects (Smart Santander, Yokohama Smart City Project, T-City Szolnok, etc.). Smart workplaces, smart home projects.

12. Future work – „smart dust”, internet of things. 
The "intelligence" of smart environments (cities, workplaces, homes) is mainly due to the different sensors that are embedded in roads, walls, or integrated in the smart devices of the users. These sensors continuously monitor the surrounding physical world, gather raw data, which are then shared by joining them in a network. The raw data are processed and then value added information is generated and fed back to the users. The course provides an insight into the broad area of wireless sensor networks (WSNs). It discusses the problems of data gathering, processing and ad hoc communication for resource-constrained devices, it presents the necessary middleware services, and briefly touches the areas of security and privacy related to wireless sensor networks. It presents the most important current and future application domains of sensor networks, special emphasis being on applications and services related to intelligent environments.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

2 hours of lectures each week, 2-hour laboratory work bi-weekly. The theoretical knowledge presented in the lectures is completed by uses cases and practical examples, parts of which are prepared by the students as part of a homework.

Tanulástámogató anyagok

Online források
H. Karl, A. Willig, „Protocols and Architectures for Wireless Sensor Networks”, John Wiley & Sons Ltd, 2005 (ISBN 0-470-09510-5)I. Stojmenovic, „Handbook of Sensor Networks – Algorithms and architectures”, John Wiley & Sons Ltd, 2005 (ISBN 0-471-68472-4)F. Zhao, L. Gubias, „Wireless Sensor Networks – An Information Processing Approach”, Morgan Kaufmann (Elsevier), 2004 (ISBN 1-55860-914-8)E. H. Callaway, „Wireless Sensor Networks – Architectures and Protocols”, Auerbach (CRC Press), 2003 (ISBN 0-8493-1823-8)

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Infocommunications Networking technologies and applications
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Infocommunications Networking technologies and applications
General rules
Requirements: The requirement for the signature is the presentation of a homework prepared during the year.  Additional possibilities: Submission of the homework before the exam period.
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses
Infocommunications
Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
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Requirements valid until:
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Curriculum placement

No curriculum placements recorded for this subject version.