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Title	Efficient Sensors Selection For Traffic Flow Monitoring: An Overview Of Model-Based Techniques Leveraging Network Observability
ID_Doc	22410
Authors	Fabris M.; Ceccato R.; Zanella A.
Year	2025
Published	Sensors, 25, 5
DOI	http://dx.doi.org/10.3390/s25051416
Abstract	The emergence of 6G-enabled Internet of Vehicles (IoV) promises to revolutionize mobility and connectivity, integrating vehicles into a mobile Internet of Things (IoT)-oriented wireless sensor network (WSN). Meanwhile, 5G technologies and mobile edge computing further support this vision by facilitating real-time connectivity and empowering massive access to the Internet. Within this context, IoT-oriented WSNs play a crucial role in intelligent transportation systems, offering affordable alternatives for traffic monitoring and management. Efficient sensor selection thus represents a critical concern while deploying WSNs on urban networks. In this paper, we provide an overview of such a notably hard problem. The contribution is twofold: (i) surveying state-of-the-art model-based techniques for efficient sensor selection in traffic flow monitoring, emphasizing challenges of sensor placement, and (ii) advocating for the development of data-driven methodologies to enhance sensor deployment efficacy and traffic modeling accuracy. Further considerations underscore the importance of data-driven approaches for adaptive transportation systems aligned with the IoV paradigm. © 2025 by the authors.
Author Keywords	6G; intelligent transportation systems; internet of things; internet of vehicles; sensor selection; smart city; system observability; traffic monitoring; urban networks; wireless sensor networks

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