Performance Evaluation of Data Delivery Mechanism For Cognitive Radio Vehicular and Vehicular Ad-Hoc Networks

Garg, Deepanshu; Bali, Rasmeet Singh; Kaur, Akwinder

doi:10.1016/j.procs.2015.07.410

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…Moreover, due to the unsuccessful reception of messages, there are a lot of chances of the data packet loss and due to this packet loss some safety messages also experience loss and cannot reach the specified destination. In order to overcome this challenge, the TARS protocol plays a very important role and shows high PDR, meaning the protocol builds a reliable connection between the two vehicles as well as the connection between the RSU and vehicle, with minimum packet and message loss [ 39 , 40 , 41 , 42 , 43 ]. The RSU transmits the warning message up to one hop neighbor (which lies in its transmission range) and the direction based forwarding mechanism minimizes the packet loss chances, which also helps to improve the packet delivery ratio [ 44 ].…”

Section: Resultsmentioning

confidence: 99%

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Aldegheishem

Yasmeen

Maryam

et al. 2018

Sensors

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Traffic accidents have become an important problem for governments, researchers and vehicle manufacturers over the last few decades. However, accidents are unfortunate and frequently occur on the road and cause death, damage to infrastructure, and health injuries. Therefore, there is a need to develop a protocol to avoid or prevent traffic accidents at the extreme level in order to reduce human loss. The aim of this research is to develop a new protocol, named as the Traffic Accidents Reduction Strategy (TARS), for Vehicular Ad-hoc NETworks (VANETs) to minimize the number of road accidents, decrease the death rate caused by road accidents, and for the successful deployment of the Intelligent Transportation System (ITS). We have run multiple simulations and the results showed that our proposed scheme has outperformed DBSR and POVRP routing protocols in terms of the Message Delivery Ratio (MDR), Message Loss Ratio (MLR), Average Delay, and Basic Safety Message.

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Section: Resultsmentioning

confidence: 99%

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Aldegheishem

Yasmeen

Maryam

et al. 2018

Sensors

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“…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: 98%

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

Chaubey

Yadav

2022

IJECE

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<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>

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“…Moreover, in [18] Wang studies the impact of the contention window on throughput; even if it is not clear on which channel the work is focused, the throughput analysis is very interesting for different sizes of the contention window. In [19], Garg et al evaluate the performance of a data delivery mechanism for Vehicular Ad Hoc Networks and Cognitive Radio (CR) Vehicular networks; they find that CR networks outperform VANETs when multiple types of packets are transmitted in a vehicle-to-vehicle environment. In [20], Taherkani and Pierre propose a multiobjective algorithm for congestion control in VANETs; their proposal is evaluated under highway and urban scenarios to find that it outperforms schemes like CSMA/CA, D-FPAV (Distributed-Fair Power Adjustment for Vehicular Environments), and CABS (Context Awareness Beacon Scheduling).…”

Section: Broadcast Models For the Control Channelmentioning

confidence: 99%

A Simulation‐Based Analysis of the Loss Process of Broadcast Packets in WAVE Vehicular Networks

González

Ramos

2018

Wireless Communications and Mobile Computing

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The IEEE 802.11p standard operates with the WAVE (Wireless Access in Vehicular Environments) system in vehicular ad hoc networks (VANETs). The broadcast process is used to send messages for safety and non-safety applications. A previous work on broadcast packets over the control channel proposes an analytical model to study the loss process. Even if such work does not consider all of the phenomena affecting the operation of vehicular networks, we can obtain a very good approximation of the performance that VANETs may exhibit. Regardless of its importance, this subject has been barely studied. Moreover, there is in the literature only a couple of contributions on this subject, being both analytical models. Therefore, we present in this paper an analysis of the loss process of broadcast packets on the control channel of VANETs over different scenarios. First, we consider a typical two-way scenario and then we analyze a scenario with intersections, both for different vehicle densities. We conduct a campaign of extensive simulations with the NS-3 simulator to study the average loss rate of broadcast packets, and then we compare our results with an analytical model proposed by Campolo et al. We prove the relationship among the contention window, the packet size, and the number of vehicles with the loss rate, including losses caused by noise, collisions, hidden terminal, and channel switching. Thus, we analyze the loss process validating the results obtained by Campolo et al. We find that there are additional factors affecting the loss rate, which cannot be captured with the analytical model. One key finding in this work is that the loss rate due to channel switching differs between both approaches. Also, we find bounds on the use of the control channel, with the loss rate and the traffic load in the network as parameters.

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Performance Evaluation of Data Delivery Mechanism For Cognitive Radio Vehicular and Vehicular Ad-Hoc Networks

Cited by 6 publications

References 16 publications

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

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

A Simulation‐Based Analysis of the Loss Process of Broadcast Packets in WAVE Vehicular Networks

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