Analysis the Performance of Vehicles Ad Hoc Network

Tarapiah, Saed; Aziz, Kahtan; Atalla, Shadi

doi:10.1016/j.procs.2017.12.205

Cited by 19 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [8], [28] shows that with increase of number of vehicles the PDR increases. Arora et al [29] claimed that with increase of number of vehicles PDR increases but in case of attack with increase of number of vehicles PDR decreases.…”

Section: Resource Testingmentioning

confidence: 96%

“…When RSU finds a number of vehicles greater than the probable number of vehicles then it sends confirmation messages in the network and calculates the packet delivery ratio. Tarapiah et al [8] suggested that ad hoc on-demand distance vector routing (AODV) routing protocol gave better performance results and also proved that with an increasing number of vehicles the PDR increases. In our simulation setup, we have used the AODV routing protocol and results show that with increase of number of vehicle PDR increases but in case of attack PDR decreases.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Section: Resource Testingmentioning

confidence: 96%

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

show abstract

“…Various performance metrics were utilized in this study, such as Packet Delivery Ratio (PDR), average End-to-End Delay (E2E Delay), routing overhead, and average energy consumption [43,44]. The performance metrics were used in the quantitative evaluation of the routing protocols in the network.…”

Section: The Performance Metricsmentioning

confidence: 99%

Genetic Optimized Location Aided Routing Protocol for VANET Based on Rectangular Estimation of Position

2020

View full text Add to dashboard Cite

Vehicle Ad-Hoc Network (VANET) is a dynamic decentralized network that consists of various wireless mobile vehicles with no individual user management. Several routing protocols can be used for VANETs, for example, the Location-Aided Routing (LAR) protocol that utilizes location information provided by the Global Positioning System (GPS) sensors. It can help to reduce the search space for the desired route—limiting the search space results in fewer route discovery messages. However, two essential aspects are ignored while applying the LAR protocol in the VANET-based environment. Firstly, the LAR does not exploit the fact that nodes in VANET do not have pure random movement. In other words, nodes in LAR predict the position of destination node by ignoring the fact that the pre-defined constraint on the destination node navigation is met. Secondly, the nodes in the conventional LAR (or simply stated as LAR) protocol use the location information of the destination node before selecting the route location, which is most likely to expire because of the fast movement of the nodes in the VANET environment. This study presents an estimation based on a heuristic approach that was developed to reject weak GPS location data and accept accurate ones. The proposed routing protocol stated as Rectangle-Aided LAR (RALAR) is based on a moving rectangular zone according to the node′s mobility model. Additionally, the proposed RALAR protocol was optimized by using the Genetic Algorithm (GA) by selecting the most suitable time-out variable. The results were compared with LAR and Kalman-Filter Aided-LAR (KALAR), the most commonly utilized protocols in VANET for performance metrics using Packet Delivery Ratio (PDR), average End-to-End Delay (E2E Delay), routing overhead and average energy consumption. The results showed that the proposed RALAR protocol achieved an improvement over the KALAR in terms of PDR of 4.7%, average E2E delay of 60%, routing overhead of 15.5%, and 10.7% of energy consumption. The results proved that the performance of the RALAR protocol had outperformed the KALAR and LAR protocol in terms of regular network performance measures in the VANET environment.

show abstract

“…AODV with better performance on V2V applications. Also Saed Tarapiah [8] studied that not a one routing protocols is better and more efficient in all conditions and in all different environments. Divya Rathi [9] present and proposed AODV routing protocol can achieves better performance in city and only use 30-50 vehicles and 8-10 roadside units.…”

Section: A Related Workmentioning

confidence: 99%

Performance Analysis of Ad-Hoc Routing Protocol for Vehicular Ad-Hoc Network (VANET)

Haryatmi

2019

IJEAT

View full text Add to dashboard Cite

Vehicular Ad-hoc Network (VANET) are an emerging technology with vehicle. As a subset of Mobile Ad-hoc Network (MANET) application, VANET is considered to be a new phase of technology to the Intelligent Transportation System (ITS). VANET is a technology Using VANET vehicles can become aware of the dynamic behavior of other vehicles regardless of the driver's ability. In addition, infrastructure can obtain situational awareness at various levels of detail to manage traffic and potentially send emergency services. When traffic jam occurred in pick hour, vehicle in that area should be able to give a way to emergency services such as ambulance. Such traffic happened every day in Jakarta especially on weekdays. This research focused on designing the traffic condition and analyzing the routing protocol for VANET for Jakarta smart cities. Before implementing VANET in Jakarta, simulation using NS2 was conducted with two environment scenes. The first environment scene was the vehicle move one by one on each intersection. The second environment scene was the vehicle move in the opposite direction. The number of mobile nodes used in the environment scene as vehicle and infrastructure were 50, 100, 150, 200, 250, 300, and 350. we set 10 nodes as infrastructures for all number of mobile nodes used in the simulation and the remaining nodes as vehicles. We used more nodes as vehicle because the number of vehicles in the Jakarta was higher than the number of infrastructures. The network area used in this simulation was 2000x2000. We used constant bit rate (CBR), two ray ground propagation and omni antenna to simulate the environment scenes. The routing protocols used in this research were Ad-hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Destination Sequenced Distance Vector (DSDV). The result of this research showed that AODV achieved the highest throughput and the best packet delivery ratio. The lowest end-to-end delay was achieved by DSDV. Accordingly, simulation result showed that AODV has the best performance and preferable routing protocol of VANET for Jakarta environments.

show abstract

Analysis the Performance of Vehicles Ad Hoc Network

Cited by 19 publications

References 1 publication

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

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

Genetic Optimized Location Aided Routing Protocol for VANET Based on Rectangular Estimation of Position

Performance Analysis of Ad-Hoc Routing Protocol for Vehicular Ad-Hoc Network (VANET)

Contact Info

Product

Resources

About