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Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Qi, Weijing ; Landfeldt, Bjorn ; Song, Qingyang ; Guo, Lei ; Jamalipour, Abbas

IEEE transactions on vehicular technology, 2020-07, Vol.69 (7), p.7723-7734 [Revista revisada por pares]

New York: IEEE

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Título:
Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks
Autor: Qi, Weijing ; Landfeldt, Bjorn ; Song, Qingyang ; Guo, Lei ; Jamalipour, Abbas
Materias: Algorithms ; Bandwidth ; Bandwidths ; Cellular communication ; cellular-vehicle-to-everything ; Clustering ; Communication Systems ; Computer architecture ; Computer simulation ; Data collection ; Dedicated short range communication ; Delay ; Delays ; Electrical Engineering, Electronic Engineering, Information Engineering ; Elektroteknik och elektronik ; Engineering and Technology ; Heuristic methods ; Hybrid vehicles ; Kommunikationssystem ; Mobile ad hoc networks ; Optimization ; Quality of service ; Roadsides ; Routing ; routing optimization ; software defined vehicular networking ; Software-defined networking ; Teknik ; Transmissions (automotive) ; Vehikulära nätverk SDN trådlösa system
Es parte de: IEEE transactions on vehicular technology, 2020-07, Vol.69 (7), p.7723-7734
Descripción: Vehicles equipped with sensors can participate in mobile crowdsourcing applications. Vehicular Ad Hoc Networks (VANETs) based on Dedicated Short Range Communication (DSRC) are used to carry sensing data. However, multi-hop transmissions for gathering data to Road Side Units (RSUs) in VANETs suffer from low data rate and long end-to-end delay, which can hardly meet the QoS requirements of delay-sensitive services. This triggers the consideration of constituting a DSRC and Cellular-Vehicle-to-Everything (C-V2X) hybrid vehicular network. Nevertheless, using cellular links to carry traffic can cause high cellular bandwidth costs. In this paper, we propose a Traffic Differentiated Clustering Routing (TDCR) mechanism in a Software Defined Network (SDN)-enabled hybrid vehicular network. The proposed mechanism includes a centralized one-hop clustering approach and a data delivery optimization method. Particularly, the optimization is to make a tradeoff between cellular bandwidth cost and end-to-end delay, for Cluster Heads (CHs) delivering their aggregated data either by multi-hop Vehicle-to-Vehicle (V2V) transmissions or by cellular networks. Since the problem is proven to be NP-hard, a two-stage heuristic algorithm is designed. We carry out simulations to evaluate the performance of our data collection scheme and the results show that it performs better than traditional mechanisms.
Editor: New York: IEEE
Idioma: Inglés

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Traffic Differentiated Clustering Routing in DSRC and C-V2X Hybrid Vehicular Networks

Qi, Weijing ; Landfeldt, Bjorn ; Song, Qingyang ; Guo, Lei ; Jamalipour, Abbas

New York: IEEE

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