Federated Cognitive IoT Framework for Enhancing Sustainable Urban Mobility and Advancing Circular Economy Paradigms in Smart Cities

DOI

10.2991/978-94-6239-674-6_16How to use a DOI?

Keywords

Federated Cognitive IoT; Sustainable Urban Mobility; Circular Economy; Smart Cities; Edge Intelligence

Abstract

The urban centers are becoming increasingly complex and data rich with the need for integrated technological frameworks for implementation of an efficient and sustainable development. Based on the above observation, present research presents a Federated Cognitive Internet of Things (FCIoT) framework for smart cities in order to optimize sustainable urban mobility and promote circular economy models. It virtually combines a decentralized data processing through the federated learning with its embedding of cognitive intelligence at the edge to achieve real time, privacy preserving decision making for transportation and resource management. It helps with predictive analytics of traffic optimization, waste reuse, and energy consumption, and central system overload, while increasing data sovereignty. It also permits the interoperation among urban subsystem and promotes cross domain efficiencies and eco-centric policies. It is an interpretative study that uses symmetric qualitative data approach using thematic content analysis and NVivo software to identify themes and challenges from the interviews of experts from urban planning, mobility, and sustainability domains. The results further show significant gains in efficiency, reduction in carbon emission and reduction in real time responsiveness. This paper contributes to the interdisciplinary fusion of IoT, AI and federated learning, and the circular economy paradigms, to provide strategic pathway for policymakers and technologists.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Karishma Sharma
AU  - Deepali Vishnoi
AU  - Jyoti Nagpal
PY  - 2026
DA  - 2026/05/28
TI  - Federated Cognitive IoT Framework for Enhancing Sustainable Urban Mobility and Advancing Circular Economy Paradigms in Smart Cities
BT  - Proceedings of the International Conference on Sustainable Computing and Artificial Intelligence (ICSCAI 2025)
PB  - Atlantis Press
SP  - 185
EP  - 195
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-674-6_16
DO  - 10.2991/978-94-6239-674-6_16
ID  - Sharma2026
ER  -