Evolutionary Algorithm Based Optimized Relay Vehicle Selection in Vehicular Communication

Jafer, Muhammad; Khan, M. Arif; Rehman, Sabih ur; Zia, Tanveer

doi:10.1109/access.2018.2881197

Cited by 10 publications

(7 citation statements)

References 25 publications

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“…The broadcasting storm is caused by blind retransmissions to achieve network coverage, which is a process of achieving propagation of P inf o , to all the vehicles in a network. The RVSM layer consists of a technique, put forward in previous research [24], that assigns a wait time, W T , based on the probability of neighborhood coverage, P nc , to avoid the broadcasting storm. A P inf o is broadcasted after the assigned W T has expired.…”

Section: Relay Vehicle Selection Methods (Rvsm) Layermentioning

confidence: 99%

“…On the other hand, the vehicles on the urban environment travel with the same speed, however these 802.11 wireless protocol standards created to support mobile vehicular communication networks [22,23]. Due to the availability of a large number of features in the IEEE802.11p, it has become the de facto protocol for VANETs [24]. Among these features, Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) and beaconing system are the two vital features that play important part in our research [25].…”

Section: Generalized Vanet System Modelmentioning

confidence: 99%

“…Therefore, it can be deduced that the network coverage time increase with the decrease of P B as well as observing of similar tendencies of results compared to the previous discussions regarding the increase in the number of retransmissions and network coverage time. In addition to this, the analysis with respect to differences and similarities of the results produced by highway and urban scenario is put forward in [24].…”

Section: Network Coverage Over Timementioning

confidence: 99%

See 2 more Smart Citations

Secure Communication in VANET Broadcasting

Jafer¹,

Khan²,

Rehman³

et al. 2019

ICST Transactions on Security and Safety

Self Cite

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Broadcasting is a communication mechanism utilized in VANET architecture that facilitates in disseminated of public information to help reduce traffic jams/congestions. The authentic and genuine nature of public information is required to be maintained to avoid broadcasting of false information causing mass panic and hysteria. Therefore, it is of utmost importance to secure the broadcasting information so that an intruder is unable to alter any information without compromising public nature of the information. In this paper, we have proposed a secure broadcasting architecture consisting of different layers stacked together in different formation according to operating modes. A real-time simulation model is developed in Python, while simulations are run on a supercomputer for the purpose of gathering results for highway environments. We compare the results of the proposed secure highway architecture with unsecure architecture. Overall, the results show delayed propagation time due to the availability of multiple information packets as well as prioritization of these information packets. However, there was no significant difference in retransmission of different information packets when compared with either different broadcasting probability or unsecure highway scenario, which indicates an effective as well as efficient, secure broadcasting architecture.

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Section: Relay Vehicle Selection Methods (Rvsm) Layermentioning

confidence: 99%

Section: Generalized Vanet System Modelmentioning

confidence: 99%

Section: Network Coverage Over Timementioning

confidence: 99%

See 1 more Smart Citation

Secure Communication in VANET Broadcasting

Jafer¹,

Khan²,

Rehman³

et al. 2019

ICST Transactions on Security and Safety

Self Cite

View full text Add to dashboard Cite

show abstract

“…Simulation results showed that the RSU coverage range was significantly extended (in the order of 20 times greater range). In contrast, Jafer et al proposed a multiobjective genetic algorithm-based method that tries to improve the network coverage by reducing the number of retransmissions and time required for the information to be disseminated [55]. Simulation results showed that the proposed genetic algorithm significantly reduced the number of retransmissions (by a factor of ∼4 for the urban environment) and network coverage time [55].…”

Section: Capacity and Coveragementioning

confidence: 99%

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Moubayed

Shami

2022

IEEE Intell. Transport. Syst. Mag.

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The concept of the fifth generation (5G) mobile network system has emerged in recent years as telecommunication operators and service providers look to upgrade their infrastructure and delivery modes to meet the growing demand. Concepts such as softwarization, virtualization, and machine learning will be key components as innovative and flexible enablers of such networks. In particular, paradigms such as software-defined networks, softwaredefined perimeter, cloud & edge computing, and network function virtualization will play a major role in addressing several 5G networks' challenges, especially in terms of flexibility, programmability, scalability, and security. In this work, the role and potential of these paradigms in the context of V2X communication is discussed. To do so, the paper starts off by providing an overview and background of V2X communications. Then, the paper discusses in more details the various challenges facing V2X communications and some of the previous literature work done to tackle them. Furthermore, the paper describes how softwarization, virtualization, and machine learning can be adapted to tackle the challenges of such networks.

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“…In fact, they allow external factors, affecting routing, to be taken into account during the decision making process. 161 Both works proposed in References 162 and 161 addressed broadcast storm problem through controlling retransmissions by using, respectively, an analytical fitness function and an optimized relay selection methodology based on multiobjective GA. An efficient parallel GA in cloud implementation for the intelligent transportation systems was proposed in Reference 163. To ensure making optimal routing decisions and offering autonomous vehicles services, the cloud system is based on a highly parallelizable GA, where three concurrent kernels are used, each with effective operators dependent on the GA.…”

Section: Bioinspiredmentioning

confidence: 99%

Towards general Internet of Vehicles networking: Routing protocols survey

Ksouri

Jemili

Mosbah

et al. 2020

Concurrency and Computation

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The specific characteristics of vehicular ad hoc networks, such as high speed of nodes and frequent topology changes, impose challenges for the routing process. In addition, the advent of the Internet of Vehicles (IoV) concept along with the autonomous and connected cars contribute to the proliferation of new innovative applications with different quality of service requirements, rising new challenging issues for data transfer.In this article, we review the different taxonomies of vehicular routing protocols, while giving an insight into the design of geographical protocols. Then, we outline several optimization techniques and paradigms used to enhance the routing process. Moreover, in order to promote the deployment of robust IoV routing protocols at large scale, we provide some directions for future research work.

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Evolutionary Algorithm Based Optimized Relay Vehicle Selection in Vehicular Communication

Cited by 10 publications

References 25 publications

Secure Communication in VANET Broadcasting

Secure Communication in VANET Broadcasting

Softwarization, Virtualization, and Machine Learning for Intelligent and Effective Vehicle-to-Everything Communications

Towards general Internet of Vehicles networking: Routing protocols survey

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