Subject » BMEVITMMA15
Smart City Infocommunication Technologies
Okos városok infokommunikációs technológiái
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
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| Subject name (Hungarian, English) |
Okos városok infokommunikációs technológiái
Smart City Infocommunication Technologies
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| Subject code | BMEVITMMA15 | ||||||||||||
| Subject type | — | ||||||||||||
| Training Level | — | ||||||||||||
| Course types and hours (weekly/semester) |
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| Assessment type | vizsga | ||||||||||||
| Credits | 5 | ||||||||||||
| Subject coordinator |
DR. Vidács Attila
position: egyetemi docens
contact:
vidacs.attila@vik.bme.hu
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| Responsible department |
Távközlési és Mesterséges Intelligencia Tanszék
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| 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
Lectures:
1. Introduction to the world of smart cities. What is meant by sensing and communication infrastructure. What are the hardware and software architectures of smart sensors? Hardware components of sensor "motes".
2. Sensor operating systems (e.g. Contiki, FreeRTOS, TinyOS).
3. Sensor communication protocols: physical layer, sleep-wake scheduling, time synchronisation. Sensor radios (LoRa, NB-IoT, 5G mMTC). Wired solutions (MODBUS, Ethernet/IP, Profinet).
4. Data link layer, medium access control (sensor MAC).
5. Network layer, energy and location-aware routing; attribute-based addressing, clustering; data-centric operation.
6. Transport layer (TCP-like protocols without global addressing, low storage requirements).
7. Sensor network architectures. Sensor network design issues. Topology construction and management, single and multi-hop communication, energy saving, topology control.
8. Advanced sensors for intelligent vehicles: odometer, tachometer, radar, lidar, ultrasonic sensors, cameras
9. In-vehicle communication technologies: CAN bus, Flexray, LIN, MOST
10. WiFi-based vehicle communication. DSRC, WAVE, IEEE 802.11p, IEEE 1609, ITS-G5
11. Cellular vehicle communication technologies (C-V2x). 5G NR V2X, 6G V2X. Vehicle-to-vehicle communication technologies and protocols.
12. VANET (Vehicular Ad hoc Networks) networks. Advanced mobility models, routing and clustering protocols. Geographic based routing, advantages, disadvantages and applicability. Hybrid communication solutions.
13. Technology solutions for self-driving vehicles.
Detailed topics for the exercises:
1. Detailed description and discussion of homework assignments, assignment of tasks and tools. Presentation of assignment, assignment and student safety briefing. Detailed presentation of optional tools and platforms
2. Building sensors from microcontroller and radio module. Introduction to simple sensors and interferers. Introduction to the development environment.
3. Sensor communication exercises. Building an Internet connection. Remote data acquisition, data display and data analysis. Deployment and use of containerised services.
4. Homework intermediate checkpoint: presentation of system designs, details of technological solutions, joint discussion
5. Use of IoT platforms. Demonstration of the use of some platforms, programming, extension options.
6. Demonstration and programming of cloud-based IoT data processing. Building services.
7. Presentation, joint discussion and evaluation of home tasks.
One of the basic requirements of smart cities is to be able to observe the city's operations, the movement of people and vehicles, the evolution of environmental parameters, the processes in the city, and then, after processing the raw data collected, to be able to use the information extracted from it to intervene in these processes, making the city's operation more efficient through various adaptive services. This requires an appropriate infocommunication infrastructure, of which the sensing infrastructure and the communication infrastructure are key elements. The objective of this course is therefore to present the hardware and software architectures, communication protocols, specific challenges and dedicated solutions for the networking of sensors in smart cities. In addition, special attention will be paid to the communication issues of intelligent transport systems in smart cities, networked vehicles and different solutions for vehicle communication.
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
- Lectures
- Classroom computer exercises
- Independent work (homework)
Tanulástámogató anyagok
Not provided.
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)
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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)
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General rules
Requirements:
During the semester: 1 summative type mid-term examination and 1 homework assignment.
Successful completion of the mid-term exam and the homework is a prerequisite for signature and passing the exam.
During the examination period: written examination.
Additional possibilities:
The mid-term exam can be retaken up once.
The deadline for the submission of homework is during the semester. Homework may be handed in by the deadline set for one week after the semester end.
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
Not provided.
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.