IEEE 802.11p Performance Evaluation: Simulations vs. Real Experiments

Almeida, Thales Teixeira de; Gomes, Lucas de Carvalho; Ortiz, Fernando Molano; Jose, Garcia-Alonso; Costa, Luís Henrique M. K.

doi:10.1109/itsc.2018.8569676

Cited by 23 publications

(16 citation statements)

References 11 publications

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“…Ad-hoc network such as ITS-G5 or IEEE 802.11p do not require any other infrastructure and send messages via broadcast to all surrounding participants [50][51][52][53]. The more messages that are sent or the larger the message packets are and, thus, the more data is sent per second, the greater the channel load becomes, and packet loss may occur [54]. In order not to overload the channel, Decentralized Congestion Control (DCC) [55] has, therefore, been introduced in Europe, in which accesses to the channel are dynamically controlled [56].…”

Section: Vehicle-to-everything Communicationmentioning

confidence: 99%

Cooperative- and Eco-Driving: Impact on Fuel Consumption for Heavy Trucks on Hills

et al. 2021

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Greenhouse gas emissions are the cause of climate change, which in turn has a negative impact on people and the environment. Reducing the fuel consumption of conventional engines reduces climate-damaging emissions and can, thus, contribute to achieving climate protection goals. In addition, fuel costs are a major cost factor for long-haul trucking. Eco-driving helps to reduce fuel costs when driving on inclines and declines. Due to the high mass and, therefore, high kinetic and potential energy of heavy trucks, fuel can be saved by coasting before slopes and before speed limits. However, energy-efficient and non-cooperative driving, i.e., without considering other road users, can lead to increased fuel consumption as vehicles impede each other. To resolve conflicts in road traffic, a variety of methods that enable cooperative driving exist. In general, vehicles communicate with vehicle-to-everything (V2X) and negotiate a joint driving strategy. This paper presents a method that combines cooperative and energy-efficient driving and examines the impact on fuel consumption during uphill driving. The method relies on the exchange of trajectories for cooperative maneuver coordination. By computing a strategic trajectory, energy-efficient driving with long coasting maneuvers is enabled. In the simulative evaluation, travel over hills with two and three trucks is investigated. It is shown that the combination of cooperative and eco-driving reduces the fuel costs for traffic.

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Section: Vehicle-to-everything Communicationmentioning

confidence: 99%

Cooperative- and Eco-Driving: Impact on Fuel Consumption for Heavy Trucks on Hills

et al. 2021

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“…We set the local transmission range to 200 m to form a LAG to use Wi-Fi Direct. Although it is the theoretical transmission range, some studies have demonstrated its performance in practice [40,41,42]. In our prototype, the maximum size of each LAG was limited to eight nodes, which is defined by the device manufacturers (e.g., Sony and BlackBerry) supporting Wi-Fi Direct, considering environmental interference [43,44].…”

Section: System Prototype Implementationmentioning

confidence: 99%

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

Jeong

Baek

Son

2019

Sensors

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In the vehicular ad-hoc networks (VANETs), wireless access in vehicular environments (WAVE) as the core networking technology is suitable for supporting safety-critical applications, but it is difficult to guarantee its performance when transmitting non-safety data, especially high volumes of data, in a multi-hop manner. Therefore, to provide non-safety applications effectively and reliably for users, we propose a hybrid V2V communication system (HVCS) using hierarchical networking architecture: a centralized control model for the establishment of a fast connection and a local data propagation model for efficient and reliable transmissions. The centralized control model had the functionality of node discovery, local ad-hoc group (LAG) formation, a LAG owner (LAGO) determination, and LAG management. The local data propagation indicates that data are transmitted only within the LAG under the management of the LAGO. To support the end-to-end multi-hop transmission over V2V communication, vehicles outside the LAG employ the store and forward model. We designed three phases consisting of concise device discovery (CDD), concise provisioning (CP), and data transmission, so that the HVCS is highly efficient and robust on the hierarchical networking architecture. Under the centralized control, the phase of the CDD operates to improve connection establishment time, and the CP is to simplify operations required for security establishment. Our HVCS is implemented as a two-tier system using a traffic controller for centralized control using cellular networks and a smartphone for local data propagation over Wi-Fi Direct. The HVCS’ performance was evaluated using Veins, and compared with WAVE in terms of throughput, connectivity, and quality of service (QoS). The effectiveness of the centralized control was demonstrated in comparative experiments with Wi-Fi Direct. The connection establishment time measured was only 0.95 s for the HVCS. In the case of video streaming services through the HVCS, about 98% of the events could be played over 16 frames per second. The throughput for the streaming data was between 74% to 81% when the vehicle density was over 50%. We demonstrated that the proposed system has high throughput and satisfies the QoS of streaming services even though the end-to-end delay is a bit longer when compared to that of WAVE.

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“…And there are some studies about comparing or integrating with simulation and real environments. Almeida et al [6] compared the performance of the DSRC-based V2X communication system by evaluating it in a simulation using NS-3 and real environment. For the V2V and V2I scenarios, the effects on vehicle speed and transmission speed were evaluated by measuring PDR and PIR.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Performance Evaluation for DSRC-Based Vehicular Communication System

Bae¹,

Park

EunJu³

et al. 2021

IEEE Access

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IEEE 802.11p Performance Evaluation: Simulations vs. Real Experiments

Cited by 23 publications

References 11 publications

Cooperative- and Eco-Driving: Impact on Fuel Consumption for Heavy Trucks on Hills

Cooperative- and Eco-Driving: Impact on Fuel Consumption for Heavy Trucks on Hills

Hierarchical Network Architecture for Non-Safety Applications in Urban Vehicular Ad-Hoc Networks

Implementation and Performance Evaluation for DSRC-Based Vehicular Communication System

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