Distance-Based Scheme for Broadcast Storm Mitigation in Named Software Defined Vehicular Networks (NSDVN)

Arsalan, Ahmad; Rehman, Rana Asif

doi:10.1109/ccnc.2019.8651700

Cited by 16 publications

(8 citation statements)

References 14 publications

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“…A packet is considered lost if it is not received by the destination application within the maximum tolerable end-to-end latency for that application [2]. Reliability is addressed in [80,81,86,88,89,92,93,95,[97][98][99][100][101][102][103][104][105][106][107]. Liu et al [102] proposes an SDVN architecture for Geo-Broadcast in VANETs.…”

Section: B Reliabilitymentioning

confidence: 99%

Software-Defined Vehicular Networking: Opportunities and Challenges

et al. 2020

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Section: B Reliabilitymentioning

confidence: 99%

Software-Defined Vehicular Networking: Opportunities and Challenges

et al. 2020

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“…In this section, proposed SDN controlled VNDN is compared with existing works such as RUFS, 39 DIFS, 38 ICN-SDVANET, 15 RISC, 7 CDS, 27 Secure VANET, 36 and BSAM. 37 Here, comparisons are made based on the following performance metrics: ISR, ISD, average hop count (AHC), and gain of scalability. In any network, scalability evaluates the efficiency of the algorithms involved in the network with the changes in network size, that is, scalability measures the ability of proposed architecture to support increasing network size.…”

Section: Comparative Analysismentioning

confidence: 99%

“…A broadcast storm avoidance mechanism (BSAM) was presented for SDN-and NDN-based VANET. 37 This work caches all interest and data packets at the controller. However, caching all packets in the controller leads to the large amount of delay.…”

Section: Related Workmentioning

confidence: 99%

A novel software-defined networking controlled vehicular named-data networking for trustworthy emergency data dissemination and content retrieval assisted by evolved interest packet

Alowish

Shiraishi

Takano

et al. 2020

International Journal of Distributed Sensor Networks

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Vehicle ad hoc network is the key technology for a future Internet of vehicles and intelligent transport system. However, involvement of vast number of vehicles in Internet of vehicles limits the performance of vehicle ad hoc network. To tackle this problem, a novel vehicle ad hoc network architecture with two different technologies such as software-defined networking and named-data networking is proposed in this article. In the proposed software-defined networking controlled vehicular named-data networking, IP addressing issue is resolved by named-data networking and global view of the network is attained by software-defined networking. Emergency data dissemination is initiated with packet classification. For packet classification, policy-based bifold classifier is proposed in roadside unit and supported by evolved interest packet. Subsequently, best disseminator selection is carried out by trustworthy weighted graph scheme based on novel weight value, which is computed by considering significant metrics. Content retrieval is accomplished by roadside unit and assisted by a controller. Location of content producer is obtained from a controller and optimal route is selected by roadside unit. Optimal route selection is performed by roadside unit for both content retrieval and vehicle-to-vehicle communication using novel region-based hybrid cuckoo search algorithm. Hybrid algorithm combines cuckoo search and particle swarm optimization algorithm to perform efficient route selection. Involvement of software-defined networking controller supports numerous users by providing a global view of the network, which includes network status and traffic information. Extensive simulation in NS-3 assures better interest satisfaction rate, interest satisfaction delay, forwarder interest packets, average hop count, and gain of scalability in software-defined networking controlled vehicular named-data networking than traditional vehicle ad hoc network.

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“…Arsalan and Rehman [36] developed a technique to mitigate the broadcast storm issue, called BSAM (Broadcast Storm Avoidance Mechanism). BSAM outlines a counter value that is given for each vehicle by calculating its distances from the sender vehicle.…”

Section: Related Workmentioning

confidence: 99%

Towards Improved Vehicular Information-Centric Networks by Efficient Caching Discovery

et al. 2020

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The number of connected cars and the massive consumption of digital content on the Internet have increased daily. However, the high mobility of the vehicles, coming from patterns’ variation over time, makes efficient large-scale content distribution quite challenging. In light of this, the emerging Vehicular Named Data Network (VNDN) architecture provides support for content-centric network communications and caching capabilities, which allows reliable and larger-scale content delivery over Vehicular Ad-Hoc Networks (VANETs). This notwithstanding, the high number of interest packets in VNDN tends to introduce broadcast storm occurrences during the cache discovery process. Thus, network performance degradation comes up for the influence of both increased packet loss rates and delays on content recovery during communication between vehicles. This work proposes a new cache discOVEry pRoTocol (OVERT VNDN), which combines the computational geometry and degree centrality concepts to tackle the VNDN performance degradation challenges and issues. The main idea behind OVERT VNDN is to choose the most appropriate relay vehicles to engage interest packets’ delivery within the VNDN, seeking to achieve higher network performance by optimizing broadcast storm incidence. The obtained results suggest that OVERT VNDN outperforms its competitor in the following key performance indicators: (i) improving the cache discovery process by 120.47%; (ii) enhancing the content delivery rate by 43%; and (iii) reducing the number of interest packets by 80.99%.

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Distance-Based Scheme for Broadcast Storm Mitigation in Named Software Defined Vehicular Networks (NSDVN)

Cited by 16 publications

References 14 publications

Software-Defined Vehicular Networking: Opportunities and Challenges

Software-Defined Vehicular Networking: Opportunities and Challenges

A novel software-defined networking controlled vehicular named-data networking for trustworthy emergency data dissemination and content retrieval assisted by evolved interest packet

Towards Improved Vehicular Information-Centric Networks by Efficient Caching Discovery

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