Smart Environments

A.A. 2024/25

Prof. Francesca Cuomo and Prof. Stefania Colonnese

The SMART ENVIRONMENTS (DATA SCIENCE) A.A. 24/25 lessons and material are available on the e-learning MOODLE platform

 https://elearning.uniroma1.it/

 Prerequites

• • Basics of digital communications and networking (TCP/IP based)

  • Wireless systems

Outline of the Course

• • Enhanced Services by Smart Devices 

  • Data Acquisition, Coding, and Aggregation in Smart Environments 

  • Device Communication and Networking

  • Practical examples of Data Processing for Smart Environments

Course Objectives

The aim of this course is to provide an overview of the vast world of wireless and wired technologies that will be used in smart environments and cyber-physical spaces. These technologies will enable the development of network infrastructures and platforms for processing digital, multimedia, and extended reality information, applied in urban and intelligent environments.

Recent advancements in fields such as edge computing, machine learning, wireless networks, and sensor networks allow for various smart environmental applications in everyday life. The primary objective of this course is to present and discuss the latest developments in the Internet of Things area, particularly focusing on technologies, architectures, algorithms, and protocols for smart environments, with an emphasis on real-world applications. The course will cover communication and networking aspects, as well as multimedia and extended reality data processing for application design. Two case studies in the domain of smart environments will be presented: vehicular traffic monitoring for ITS applications, and low-power wireless networks. For both cases, tools, models, and methodologies for designing smart environment applications will be provided

Program

The program is divided in two main parts:

PART 1

Module 1: Introduction to IoT Networking in Smart Environments

– Overview of wireless technologies in smart environments

– Enabling technologies and real-world applications

Module 2: Communication Solutions for IoT

– Low-power communication protocols: Zigbee, BLE, LoRaWAN

– 3GPP standards for IoT communication

Module 3: Vehicular Ad Hoc Networks (VANETs)

– Fundamentals of VANETs

– Communication challenges and solutions

Module 4: Applications & Big Data in Smart Environments

– Role of big data in wireless communication

– Practical applications and case studies

PART 2

 Module 5: Signal Sampling Techniques

– 1D and 2D signal sampling methods

– Real-world applications of sampling

Module 6: Source Coding & Localization Applications

– Fundamentals of source coding

– Localization techniques and their applications

Module 7: Extended Reality (XR) Technologies

– XR principles and communication challenges

– XR applications in wireless environments

Module 8: Communication Architectures

– Architectures for modern wireless communication

– Integration of XR and IoT in communication networks

Bibliography

• 1. Cook, Diane J., and Sajal K. Das. "How smart are our environments? An updated look at the state of the art." Pervasive and mobile computing 3.2 (2007): 53-73.

  2. M. R. Palattella et al., "Internet of Things in the 5G Era: Enablers, Architecture, and Business Models," in IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510-527, March 2016. doi: 10.1109/JSAC.2016.2525418

  3. Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing) Wiley-Interscience ©2004 "http://onlinelibrary.wiley.com.ezproxy.uniroma1.it/book/10.1002/047168659X"

1. Gupta, Akhil, and Rakesh Kumar Jha. "A survey of 5G network: Architecture and emerging technologies." IEEE access 3 (2015): 1206-1232.

2. Lora alliance. [Online]. Available: https://www.lora-alliance.org/

3.   Leduc, Guillaume. "Road traffic data: Collection methods and applications." Working Papers on Energy, Transport and Climate Change 1.55 (2008).J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen, Data-driven intelligent transportation systems: A survey," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1624{1639, 2011.