Network selection and data dissemination in heterogeneous software-defined vehicular network

Chahal, Manisha; Harit, Sandeep

doi:10.1016/j.comnet.2019.06.008

Cited by 42 publications

(23 citation statements)

References 28 publications

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“…The proposed scheme proposes to use the cluster head which the competency to be selected considers the wireless interface of vehicles driving towards the same direction and the link stability. SDVN using heterogeneous performs better than HSDV and GPSR as evaluated in [48].…”

Section: Comparative Studymentioning

confidence: 99%

“…The behavior of the proposed scheme is evaluated in comparison with two SDN-based scheme, hierarchical software-defined VANET (HSDV) [25] and software-defined vehicular network (SDVN) using heterogeneous wireless interface [48]. These existing schemes were chosen because both the schemes use the concept of local controllers to reduce the signaling network traffic of the controller.…”

Section: Comparative Studymentioning

confidence: 99%

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Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks

Nkenyereye

Islam

et al. 2020

IEEE Access

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Vehicular networks aim to support cooperative warning applications that involve the dissemination of warning messages to reach vehicles in a target area. Due to the high mobility of vehicles, imperative technologies such as software-defined network (SDN) and edge computing (EC) have been proposed for the next-generation vehicular networks. The SDN separates the control plane from data plane entities and executes the control plane software on general purpose hardware. On the other hand, EC aims to reduce the network latency and packet loss rate by pushing the computations to the edge of the network. Nevertheless, the current solutions that integrate SDN and EC could not satisfy the latency requirements for data dissemination of vehicle-to-everything (V2X) services. To bridge the gap between the two technologies, the conventional EC is enhanced to multi-access edge computing (MEC) by collocating the edge computing servers with the radio access networks. In order to improve the latency for V2X services, we propose in this paper, an SDN-based multi-access edge computing framework for the vehicular networks (SDMEV). In the proposed solution, two main algorithms are implemented. First, a fuzzy logic-based algorithm is used to select the head vehicle for each evolved node B (eNB) collocated with roadside unit (RSU) for the purpose of grouping vehicles based on their communication interfaces. Afterward, an OpenFlow algorithm is deployed to update flow tables of forwarding devices at forwarding layers. In addition, a case study is presented and evaluated using the object-oriented modular discrete event network (OMNeT++) simulation framework which includes the INET framework-based SDN. Simulation results depict that the data dissemination based-SDN supported by multi-access edge computing over SDMEV can improve the latency requirements for V2X services. INDEX TERMS Data dissemination, software-defined vehicular network, eNB-type RSU, multi-access edge computing, vehicular ad hoc network, fuzzy clustering.

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Section: Comparative Studymentioning

confidence: 99%

Section: Comparative Studymentioning

confidence: 99%

Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks

Nkenyereye

Islam

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The versatility the executives in VANETs builds the delay in disseminating the information where the handover techniques are not appropriately actualized. To this, SDN-based VANETs with haze figuring would permit competition of the prerequisites of the lowest information dissemination delays by receiving a cross breed handover conspire, improving radio asset distribution by Markov choice procedure [154]. However, wasteful controls for the highest portability that matter, flimsy remote channels for SDN put together VANETs, and inactivity with respect to the appropriation of directions from the controllers and the interworking break by the heterogeneous systems between continuous VANETs make it difficult to fight through SDN-based VANETs.…”

Section: Future Directionsmentioning

confidence: 99%

SDN-based VANETs, Security Attacks, Applications, and Challenges

et al. 2020

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Vehicular ad-hoc networks (VANETs) are the specific sort of ad-hoc networks that are utilized in intelligent transportation systems (ITS). VANETs have become one of the most reassuring, promising, and quickest developing subsets of the mobile ad-hoc networks (MANETs). They include smart vehicles, roadside units (RSUs), and on-board units (OBUs) which correspond through inconsistent wireless network. The current research in the vehicles industry and media transmission innovations alongside the remarkable multimodal portability administrations expedited center-wise ITS, of which VANETs increase considerably more attention. The particular characteristics of the software defined networks (SDNs) use the vehicular systems by its condition of the centralized art having a complete understanding of the network. Security is an important issue in the SDN-based VANETs, as a result of the effect the threats and vulnerabilities can have on driver’s conduct and personal satisfaction. This paper opens a discourse on the security attacks that future SDN-based VANETs should confront and examines how SDNs could be advantageous in building new countermeasures. SDN-based VANETs encourage us to dispose of the confinement and difficulties that are available in the traditional VANETs. It helps us to diminish the general burden on the system by dealing with the general system through a single wireless controller. While SDN-based VANETs provide us some benefits in terms of applications and services, they also have some important challenges which need to be solved. In this study we discuss and elaborate the challenges, along with the applications, and the future directions of SDN-based VANETs. At the end we provide the conclusion of the whole study.

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“…Similarly, authors in [14] incorporated the ACO algorithm in the adhoc ondemand distance vector routing protocol (AODV) in order to determine the most stable route based on the simulated pheromone concentration of ants along the communication path. Other examples of an efficient greedy algorithm for transmitting data from some source to some destination can be found in [15], and the use of game theory to guarantee data dissemination in software-defined VANETs is discussed in [16].…”

Section: A Evidence Prior To the Present Studymentioning

confidence: 99%

New Discrete Cuckoo Search Optimization Algorithms for Effective Route Discovery in IoT-Based Vehicular Ad-Hoc Networks

et al. 2020

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Recently, the Internet of Things (IoT) is widely considered in vehicular ad-hoc networks (VANETs) for use in intelligent transportation systems. In particular, the pervasive deployment of different sensors in modern vehicles has unlocked interesting possibilities for improving routing performance in VANETs. Nevertheless, the discovery of short single loop-free routes for effective and efficient information dissemination in VANETs remains a challenge. This challenge proves more difficult to solve since it reduces to the case of finding the shortest Hamiltonian path for effective routing in VANETs. Consequently, in this paper, we propose two discretized variants of the cuckoo search optimization (CSO) algorithm, namely, the Lévy flight-based discrete CSO (LF-DCSO) and the random walk-based discrete CSO (RW-DCSO) for effective route discovery in VANETs. In addition, we investigated the inverse mutation operator gleaned from genetic algorithm (GA) in order to improve the exploration properties of our DCSO variants. We describe a new objective function that effectively models the reliability of individual links between nodes that comprise a single route. A detailed report of the routing protocol that controls the routing process is presented. Our proposed methods were compared against the roulette wheel-based GA and the improved kmeans-based GA termed IGAROT. Specifically, our findings reveal that there was no significant difference in the performance of the different methods in the low vehicle density scenario, however, in the medium vehicle density scenario, the RW-DCSO algorithm achieved 2.56%, 100%, and 128.57% percentage increment in its route reliability score over the LF-DCSO, RW-GA, and IGAROT algorithms, respectively. Whereas in the high vehicle density scenario, the LF-DCSO algorithm achieved a percentage increment of 42.85%, 525%, and 733.33% in the route reliability score obtained over the RW-DCSO, IGAROT, and RW-GA algorithms, respectively. Such results suggest that our methods are able to guarantee effective routing in VANETs.

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Network selection and data dissemination in heterogeneous software-defined vehicular network

Cited by 42 publications

References 28 publications

Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks

Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks

SDN-based VANETs, Security Attacks, Applications, and Challenges

New Discrete Cuckoo Search Optimization Algorithms for Effective Route Discovery in IoT-Based Vehicular Ad-Hoc Networks

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