Application-Level Performance of IEEE 802.11p in Safety-Related V2X Field Trials

Klapez, Martin; Grazia, Carlo Augusto; Casoni, Maurizio

doi:10.1109/jiot.2020.2967649

Cited by 33 publications

(25 citation statements)

References 49 publications

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“…The communication between vehicle and UAV is based on the IEEE 802.11p protocol, which adopts the carrier sense multiple access protocol with collision avoidance (CSMA/CA) for data transmission [56]. In the IEEE 802.11p protocol, the transmission of computing task Ξ i within a single time slot has two states: (i) successful transmission and (ii) collision and back off.…”

Section: Transmission Modelmentioning

confidence: 99%

Joint Task Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs

Zhai

Huang

et al. 2021

Remote Sensing

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In this paper, we propose a mobile edge computing (MEC)-enabled unmanned aerial vehicle (UAV)-assisted vehicular ad hoc network (VANET) architecture, based on which a number of vehicles are served by UAVs equipped with computation resource. Each vehicle has to offload its computing tasks to the proper MEC server on the UAV due to the limited computation ability. To counter the problems above, we first model and analyze the transmission model and the security assurance model from the vehicle to the MEC server on UAV, and the task computation model of the local vehicle and the edge UAV. Then, the vehicle offloading problem is formulated as a multi-objective optimization problem by jointly considering the task offloading, the resource allocation, and the security assurance. For tackling this hard problem, we decouple the multi-objective optimization problem as two subproblems and propose an efficient iterative algorithm to jointly make the MEC selection decision based on the criteria of load balancing and optimize the offloading ratio and the computation resource according to the Lagrangian dual decomposition. Finally, the simulation results demonstrate that our proposed scheme achieves significant performance superiority compared with other schemes in terms of the successful task processing ratio and the task processing delay.

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Section: Transmission Modelmentioning

confidence: 99%

Joint Task Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs

Zhai

Huang

et al. 2021

Remote Sensing

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“…Our testbed was designed with four main considerations: to be capable of operating to DSRC standards in regard to the access and physical layers of the stack, to be open source to allow reproducibility, low cost when compared to commercial DSRC products, and to be portable so tests can be evaluated in the field. To meet all these requirements, various approaches were considered, such as open source modified Wi-Fi cards, traditional laptops, and Software Defined Radios [17,30,31]. After considering this, we opted for the use of Ettus Universal Software Radio Peripheral (USRP) B210 software defined radios and Lenovo ThinkPad laptops.…”

Section: Testbed Overviewmentioning

confidence: 99%

Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

Flanagan

Tang

et al. 2021

Future Internet

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Dedicated Short-Range Communication (DSRC) or IEEE 802.11p/OCB (Out of the Context of a Base-station) is widely considered to be a primary technology for Vehicle-to-Vehicle (V2V) communication, and it is aimed toward increasing the safety of users on the road by sharing information between one another. The requirements of DSRC are to maintain real-time communication with low latency and high reliability. In this paper, we investigate how communication can be used to improve stopping distance performance based on fieldwork results. In addition, we assess the impacts of reduced reliability, in terms of distance independent, distance dependent and density-based consecutive packet losses. A model is developed based on empirical measurements results depending on distance, data rate, and traveling speed. With this model, it is shown that cooperative V2V communications can effectively reduce reaction time and increase safety stop distance, and highlight the importance of high reliability. The obtained results can be further used for the design of cooperative V2V-based driving and safety applications.

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“…On the other hand, the C-V2X is claimed to have a wider application range in areas such as entertainment, traffic data, navigation, and, most notably, autonomous driving. In comparison to the DSRC, it can leverage existing infrastructure and can cover larger areas with less infrastructural equipment, thus possibly reducing the capital and operational expenditures for the infrastructure’s owners [ 2 ], but unfortunately not for its users [ 3 ], unless a no-SIM operational approach is adopted.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 4 ], intensive data analytics on V2V performance and characterization of the V2V channel based on real-world urban DSRC traces were presented, and a reliable context-aware beaconing strategy called CoBe was proposed to enhance the broadcast reliability by coping with harsh NLoS conditions. Moreover, the authors of [ 3 ] dealt with the application-level performance of safety-related communications over IEEE 802.11p in the Infrastructure-to-Vehicle (I2V) context and presented the first outcomes resulting from several short- and medium-range field tests. They studied five different performance metrics that were relevant at the network, transport, and application levels.…”

Section: Introductionmentioning

confidence: 99%

A Performance Benchmark for Dedicated Short-Range Communications and LTE-Based Cellular-V2X in the Context of Vehicle-to-Infrastructure Communication and Urban Scenarios

Petrov

Sevcik

Počta

et al. 2021

Sensors

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For more than a decade, communication systems based on the IEEE 802.11p technology—often referred to as Dedicated Short-Range Communications (DSRC)—have been considered a de facto industry standard for Vehicle-to-Infrastructure (V2I) communication. The technology, however, is often criticized for its poor scalability, its suboptimal channel access method, and the need to install additional roadside infrastructure. In 3GPP Release 14, the functionality of existing cellular networks has been extended to support V2X use cases in an attempt to address the well-known drawbacks of the DSRC. In this paper, we present a complex simulation study in order to benchmark both technologies in a V2I communication context and an urban scenario. In particular, we compare the DSRC, LTE in the infrastructural mode (LTE-I), and LTE Device-to-Device (LTE-D2D) mode 3 in terms of the average end-to-end delay and Packet Delivery Ratio (PDR) under varying communication conditions achieved through the variation of the communication perimeter, message generation frequency, and road traffic intensity. The obtained results are put into the context of the networking and connectivity requirements of the most popular V2I C-ITS services. The simulation results indicate that only the DSRC technology is able to support the investigated V2I communication scenarios without any major limitations, achieving an average end-to-end delay of less than 100 milliseconds and a PDR above 96% in all of the investigated simulation scenarios. The LTE-I is applicable for the most of the low-frequency V2I services in a limited communication perimeter (<600 m) and for lower traffic intensities (<1000 vehicles per hour), achieving a delay pf less than 500 milliseconds and a PDR of up to 92%. The LTE-D2D in mode 3 achieves too great of an end-to-end delay (above 1000 milliseconds) and a PDR below 72%; thus, it is not suitable for the V2I services under consideration in a perimeter larger than 200 m. Moreover, the LTE-D2D mode 3 is very sensitive to the distance between the transmitter and its serving eNodeB, which heavily impacts the PDR achieved.

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Application-Level Performance of IEEE 802.11p in Safety-Related V2X Field Trials

Cited by 33 publications

References 49 publications

Joint Task Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs

Joint Task Offloading, Resource Allocation, and Security Assurance for Mobile Edge Computing-Enabled UAV-Assisted VANETs

Investigating and Modeling of Cooperative Vehicle-to-Vehicle Safety Stopping Distance

A Performance Benchmark for Dedicated Short-Range Communications and LTE-Based Cellular-V2X in the Context of Vehicle-to-Infrastructure Communication and Urban Scenarios

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