Joint Sensing and Processing Resource Allocation in Vehicular Ad-Hoc Networks

The performance of smart vehicle (SV) applications like autonomous driving and in-vehicle augmented reality based traffic information system depends on the Field of View (FoV) and the timely processing of the SVs sensor data. Vehicular networking (VN) technology can enhance the performance of these...

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Veröffentlicht in:	IEEE transactions on intelligent vehicles 2023-01, Vol.8 (1), p.616-627
Hauptverfasser:	Chattopadhyay, Rajarshi, Tham, Chen-Khong
Format:	Artikel
Sprache:	eng
Schlagworte:	Augmented reality autonomous driving Data models distributed sensing edge computing Intelligent vehicles Markov decision process Markov processes Mathematical models Mobile ad hoc networks Resource allocation Sensors Storage capacity Task analysis Traffic information Trajectory Vehicular networks Wireless communication
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