The Community for Technology Leaders
2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI) (2018)
Orlando, FL, USA
Apr 17, 2018 to Apr 20, 2018
ISBN: 978-1-5386-6312-7
pp: 267-272
ABSTRACT
Predictable inter-vehicle communication reliability is a basis for the paradigm shift from the traditional singlevehicle-oriented safety and efficiency control to networked vehicle control. The lack of predictable interference control in existing mechanisms of inter-vehicle communications, however, makes them incapable of ensuring predictable communication reliability. For predictable interference control, we propose the Cyber-Physical Scheduling (CPS) framework that leverages the PRK interference model and addresses the challenges of vehicle mobility to PRK-based scheduling. In particular, for lightweight control signaling and effective interference relation estimation, CPS leverages the physical locations of vehicles to define the gPRK interference model as a geometric approximation of the PRK model; for effective use of the gPRK model, CPS leverages cyber-physical structures of vehicle traffic flows, particularly, the spatiotemporal interference correlation as well as the macroand micro-scopic vehicle dynamics. Through experimental analysis with high-fidelity ns-3 and SUMO simulation, we observe that CPS enables predictable reliability while achieving high throughput and low delay in communication. To the best of our knowledge, CPS is the first field-deployable method that ensures predictable interference control and thus reliability in inter-vehicle communications.
INDEX TERMS
radio networks, telecommunication network reliability, telecommunication traffic, vehicular ad hoc networks
CITATION

C. Li, H. Zhang, J. Rao, L. Y. Wang and G. Yin, "Cyber-Physical Scheduling for Predictable Reliability of Inter-Vehicle Communications," 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), Orlando, FL, USA, 2018, pp. 267-272.
doi:10.1109/IoTDI.2018.00035
188 ms
(Ver 3.3 (11022016))