Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN
As cities transition into interconnected hubs of technology, the need for efficient time management across diverse interconnected devices becomes a requirement for supporting critical services for emergency, traffic, and other use cases. Time-sensitive network (TSN) emerges as a promising solution,...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10836676/ |
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| author | Rui Eduardo Lopes Duarte Raposo Rodrigo Martins Susana Sargento |
| author_facet | Rui Eduardo Lopes Duarte Raposo Rodrigo Martins Susana Sargento |
| author_sort | Rui Eduardo Lopes |
| collection | DOAJ |
| description | As cities transition into interconnected hubs of technology, the need for efficient time management across diverse interconnected devices becomes a requirement for supporting critical services for emergency, traffic, and other use cases. Time-sensitive network (TSN) emerges as a promising solution, offering standards and mechanisms to synchronize and regulate time-critical traffic in smart city infrastructures. This study researches the main use cases, key standards and mechanisms of TSN, evaluating their feasibility and adaptability to the heterogeneous equipment present in an urban environment of a smart city infrastructure. Through experimental assessments, this article demonstrates the efficacy of TSN-based solutions and also discusses hardware enhancements that complement TSN protocols, improving precision and resource utilization to ensure criticality in urban connectivity, enabling precise control over traffic conditions and service delivery towards the future smart city, as an environment of interconnected things. Moreover, we propose a classification of nine traffic categories to encompass the various traffic flows in a smart city deployment, and validate the application of time-aware and credit-based shaping of all nodes in the network according to the type of service. Results show that TSN is a valid choice to manage mixed-criticality of services in a smart city. |
| format | Article |
| id | doaj-art-235bd8228a4c47fab8fabe89839fb2f8 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-235bd8228a4c47fab8fabe89839fb2f82025-01-21T00:01:17ZengIEEEIEEE Access2169-35362025-01-0113104591048010.1109/ACCESS.2025.352825710836676Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSNRui Eduardo Lopes0https://orcid.org/0000-0002-3222-5197Duarte Raposo1https://orcid.org/0000-0001-5621-7194Rodrigo Martins2https://orcid.org/0009-0004-8893-8526Susana Sargento3https://orcid.org/0000-0001-8761-8281Instituto de Telecomunicações, Universidade de Aveiro, Campus Universitário de Santiago, Aveiro, PortugalInstituto de Telecomunicações, Campus Universitário de Santiago, Aveiro, PortugalInstituto de Telecomunicações, Campus Universitário de Santiago, Aveiro, PortugalInstituto de Telecomunicações, Universidade de Aveiro, Campus Universitário de Santiago, Aveiro, PortugalAs cities transition into interconnected hubs of technology, the need for efficient time management across diverse interconnected devices becomes a requirement for supporting critical services for emergency, traffic, and other use cases. Time-sensitive network (TSN) emerges as a promising solution, offering standards and mechanisms to synchronize and regulate time-critical traffic in smart city infrastructures. This study researches the main use cases, key standards and mechanisms of TSN, evaluating their feasibility and adaptability to the heterogeneous equipment present in an urban environment of a smart city infrastructure. Through experimental assessments, this article demonstrates the efficacy of TSN-based solutions and also discusses hardware enhancements that complement TSN protocols, improving precision and resource utilization to ensure criticality in urban connectivity, enabling precise control over traffic conditions and service delivery towards the future smart city, as an environment of interconnected things. Moreover, we propose a classification of nine traffic categories to encompass the various traffic flows in a smart city deployment, and validate the application of time-aware and credit-based shaping of all nodes in the network according to the type of service. Results show that TSN is a valid choice to manage mixed-criticality of services in a smart city.https://ieeexplore.ieee.org/document/10836676/Time-sensitive networks (TSN)deterministicreliabilityresource reservationmixed-criticalitysurvey |
| spellingShingle | Rui Eduardo Lopes Duarte Raposo Rodrigo Martins Susana Sargento Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN IEEE Access Time-sensitive networks (TSN) deterministic reliability resource reservation mixed-criticality survey |
| title | Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN |
| title_full | Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN |
| title_fullStr | Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN |
| title_full_unstemmed | Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN |
| title_short | Time-Sensitive Smart Cities: Addressing Smart City Challenges With TSN |
| title_sort | time sensitive smart cities addressing smart city challenges with tsn |
| topic | Time-sensitive networks (TSN) deterministic reliability resource reservation mixed-criticality survey |
| url | https://ieeexplore.ieee.org/document/10836676/ |
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