2023/12/06 by Rui Lopes, Lopes, Rui, Duarte Raposo +3
Computer Science · Neuroscience · #C.2.1 #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Network Time Synchronization Technologies #Networking and Internet Architecture (cs.NI)
paper · pdf · doi:10.48550/arxiv.2312.03635
openalex publication_date 2023/12/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Smart cities transform urban landscapes with interconnected nodes and sensors. The search for seamless communication in time-critical scenarios has become evident during this evolution. With the escalating complexity of urban environments, envisioning a future with a blend of autonomous and conventional systems, each demanding distinct quality-of-service considerations, services in smart cities vary in criticality levels and necessitate differentiated traffic handling, prioritizing critical flows without compromising the network's reliability or failing on hard real-time requirements. To tackle these challenges, in this article, we discuss a time-sensitive networking approach, which presents multi-faceted challenges, notably interoperability among diverse technologies and standards at the scale of a smart city network. TSN emerges as a promising toolkit, encompassing synchronization, latency management, redundancy, and configuration functionalities crucial for addressing smart city challenges. Moreover, the article scrutinizes how TSN, predominantly utilized in domains like automotive and industry, can be tailored to suit the intricate needs of smart cities, emphasizing the necessity for adaptability and scalability in network design. This survey consolidates current research on TSN, outlining its potential in fortifying critical machine-to-machine communications within smart cities while highlighting future challenges, potential solutions, and a roadmap for integrating TSN effectively into the fabric of urban connectivity.