Smart City Gnosys

Smart city article details

Title	Multi-Access Edge Computing For Urban Informatics
ID_Doc	38079
Authors	Chakraborty S.; Sukapuram R.
Year	2022
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3491003.3493332
Abstract	Rapid development in the fields of emerging technologies like 5G communications, Artificial Intelligence of Things (AIOT) and edge-cloud-mobile computing has opened up a wide range of possibilities towards developing the next-generation of smart cities. Multi-access Edge Computing (MEC) as an integrated part of ETSI standard 5G architecture promises better user experience, resource utilization and application performance by bringing computing and storage facilities at the edge of the network, closer to the data sources. Urban informatics, which is used for better realization of future smart cities, can leverage the power of MEC for real-time analysis and inference from massive amount of multimodal sensory data. This tutorial focuses on the scope and capabilities of MEC in the broad domain of urban informatics. We will discuss MEC fundamentals including the architecture, major technology enablers like SDN, NFV, etc., specific challenges covering resource management, offloading, caching and migration of content/task, and future research directions. Then we plan to motivate the audience with the relevance and scope of further research in urban computing and urban informatics giving special attention to urban information systems (UIS). The premise of UIS management revolves around sensing, forwarding, and processing of real-time multimodal sensory data at the network edge. Finally we bring in the challenges associated with MEC based data management for different application verticals covering health, pollution, transportation, governance and so on with a specific case study in the connected/autonomous vehicles domain. © 2022 ACM.
Author Keywords	autonomous vehicle; computing; data; edge; informatics; MEC; multimodality; sensing; urban

Similar Articles

Id	Similarity	Authors	Title	Published
37278	0.906	do Prado P.F.; Peixoto M.L.M.; Araújo M.C.; Gama E.S.; Gonçalves D.M.; Silva M.V.S.; Immich R.; Madeira E.R.M.; Bittencourt L.F.	Mobile Edge Computing For Content Distribution And Mobility Support In Smart Cities	Mobile Edge Computing (2021)
14438	0.901	Quwaider, M; Al-Alyyoub, M; Jararweh, Y	Cloud Support Data Management Infrastructure For Upcoming Smart Cities	7TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2016) / THE 6TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2016) / AFFILIATED WORKSHOPS, 83 (2016)
21768	0.9	Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S.	Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments	Journal of Information Systems Engineering and Management, 10 (2025)
53782	0.894	Porambage P.; Okwuibe J.; Liyanage M.; Ylianttila M.; Taleb T.	Survey On Multi-Access Edge Computing For Internet Of Things Realization	IEEE Communications Surveys and Tutorials, 20, 4 (2018)
49719	0.894	Singh P.P.; Dixit R.K.	Smart Cities With 5G And Edge Computing In 2030	The Role of Network Security and 5G Communication in Smart Cities and Industrial Transformation (2025)
2080	0.894	Wallace J.; Vukovic M.; Karimovic T.; Edwards W.	A High-Performance 5G/6G Framework For Smart Cities Supporting Multi-Level Artificial Intelligence	2025 2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025 (2025)
36621	0.89	Filiposka S.; Bernad C.; Kjorveziroski V.; Gilly K.; Roig P.J.; Alcaraz S.	Mec Empowered Internet Of Vehicles For Smart City Optimisations	Proceedings - 2023 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing and Data Security, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PCDS/Metaverse 2023 (2023)
14442	0.89	Liu Q.; Gu J.; Yang J.; Li Y.; Sha D.; Xu M.; Shams I.; Yu M.; Yang C.	Cloud, Edge, And Mobile Computing For Smart Cities	Urban Book Series (2021)
26752	0.888	Khan M.A.	Fog Computing In 5G Enabled Smart Cities: Conceptual Framework, Overview And Challenges	5th IEEE International Smart Cities Conference, ISC2 2019 (2019)
14443	0.887	di Martino B.; Di Sivo D.; Amato A.	Cloud, Edge, And Mobile Computing: Synergies For The Future Of Smart Cities	Lecture Notes on Data Engineering and Communications Technologies, 250 (2025)