Performance comparison between 802.11 and 802.11p for high speed vehicle in VANET

Alwan, Mohammed Hasan; Ramli, Khairun Nidzam; Al-Jawher, Yasir Amer; Sameen, Aws Zuhair; Mahdi, Hussain Falih

doi:10.11591/ijece.v9i5.pp3687-3694

Cited by 12 publications

(9 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moving at a high speed can affect the efficiency of the routing, quickly outdating the position information. Therefore, Alwan et al [201] proposed an improvement to the position-based routing mechanisms through the real time estimation of vehicle position and possible changes in the frequency of exchanged data based on the extracted high accuracy position. On the other hand, vehicular traffic congestion is an extremely important challenge that can diminish the effectiveness of underlying communication by causing broadcast storm problems [202].…”

Section: Mobility Parameters Of Vehiclesmentioning

confidence: 99%

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Shokravi

Bakhary

et al. 2020

Sensors

View full text Add to dashboard Cite

Vehicle classification (VC) is an underlying approach in an intelligent transportation system and is widely used in various applications like the monitoring of traffic flow, automated parking systems, and security enforcement. The existing VC methods generally have a local nature and can classify the vehicles if the target vehicle passes through fixed sensors, passes through the short-range coverage monitoring area, or a hybrid of these methods. Using global positioning system (GPS) can provide reliable global information regarding kinematic characteristics; however, the methods lack information about the physical parameter of vehicles. Furthermore, in the available studies, smartphone or portable GPS apparatuses are used as the source of the extraction vehicle’s kinematic characteristics, which are not dependable for the tracking and classification of vehicles in real time. To deal with the limitation of the available VC methods, potential global methods to identify physical and kinematic characteristics in real time states are investigated. Vehicular Ad Hoc Networks (VANETs) are networks of intelligent interconnected vehicles that can provide traffic parameters such as type, velocity, direction, and position of each vehicle in a real time manner. In this study, VANETs are introduced for VC and their capabilities, which can be used for the above purpose, are presented from the available literature. To the best of the authors’ knowledge, this is the first study that introduces VANETs for VC purposes. Finally, a comparison is conducted that shows that VANETs outperform the conventional techniques.

show abstract

Section: Mobility Parameters Of Vehiclesmentioning

confidence: 99%

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Shokravi

Bakhary

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Therefore, the MAODV found to be more efficient than the AODV for VANET networks. The AODV and DSR were compared in [37] using PDR, throughput, average end-to-end delay, and jitter. The results showed that the AODV outperforms DSR.…”

Section: Related Workmentioning

confidence: 99%

“…To design an intelligent transport system, it is very important to consider all the major traffic scenarios for simulations. The previous studies focus only on a single environment that only deals with a specific area of ITS, such as in [32], [35], [37], the simulations are performed in a city environment. In [34], a small crossroad is considered for experiments and in [38], a highway is considered for simulations.…”

Section: Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Performance Evaluation of Data Dissemination Protocols for Connected Autonomous Vehicles

et al. 2020

View full text Add to dashboard Cite

An overwhelmed number of vehicles have wrecked the current system of transportation due to rapid growth in population. Smart cities are the novel innovation that is inevitable to curb the problems of traffic jams, unorganized traffic, environmental pollution, and slow response rate to emergency situations. The intelligent transportation system (ITS) is an integral part of smart cities allowing communications and interaction among vehicles. An autonomous vehicle is the key element of ITS and the mass implementation of this emerging technology is the solution to traffic problems linked to the current transportation system. Autonomous vehicles lead to the need for efficient and reliable external vehicular communications particularly through vehicular ad hoc networks (VANET). However, utilizing a suitable routing protocol to provide stable routing and efficient performance for vehicular communications in autonomous vehicles is a key factor. Routing protocols are particularly important for establishing vehicular to vehicular and vehicular to infrastructure (V2X) communication, which is incredibly challenging due to the movement of nodes. The quality of inter-vehicular communications is widely affected by numerous factors such as routing protocols, traffic environment, and traffic density. This article presents a detailed evaluation of three commonly used protocols, i.e., Ad-hoc On-demand Distance Vector Routing (AODV), Dynamic Source Routing (DSR), and Destination-Sequenced Distance-Vector Routing (DSDV) under three different traffic environments. To investigate the performance of these routing protocols under diverse environments, simulations are extended further by using the varying density of vehicles. This study aims at finding the best routing protocol for efficient and reliable packet dissemination among vehicles under different scenarios.

show abstract

“…AU and OBU are equipped with vehicles, RSU connected with each other through wired and wireless media. The communication between vehicles is performed through wireless media using dedicated short-range communication (DSRC) protocol identified as IEEE802.11P [1].…”

Section: Introductionmentioning

confidence: 99%

Detection of Sybil attack in vehicular ad hoc networks by analyzing network performance

Chaubey

Yadav

2022

IJECE

View full text Add to dashboard Cite

<span>Vehicular ad hoc network (VANET) is an emerging technology which can be very helpful for providing safety and security as well as for intelligent transportation services. But due to wireless communication of vehicles and high mobility it has certain security issues which cost the safety and security of people on the road. One of the major security concerns is the Sybil attack in which the attacker creates dummy identities to gain high influence in the network that causes delay in some services and fake voting in the network to misguide others. The early detection of this attack can prevent people from being misguided by the attacker and save them from getting into any kind of trap. In this research paper, Sybil attack is detected by first applying the Poisson distribution algorithm to predict the traffic on the road and in the second approach, analysis of the network performance for packet delivery ratio (PDR) is performed in malign and benign environment. The simulation result shows that PDR decreases in presence of fake vehicles in the network. Our approach is simple and effective as it does not require high computational overhead and also does not violate the privacy issues of people in the network.</span>

show abstract

Performance comparison between 802.11 and 802.11p for high speed vehicle in VANET

Cited by 12 publications

References 10 publications

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Performance Evaluation of Data Dissemination Protocols for Connected Autonomous Vehicles

Detection of Sybil attack in vehicular ad hoc networks by analyzing network performance

Contact Info

Product

Resources

About