Decentralized Receiver-based Link Stability-aware Forwarding Scheme for NDN-based VANETs

Journal article


Zafar, W. U. I., Rehman, M. A. U., Jabeen, F., Ullah, R., Abbas, G. and Khan, A. 2023. Decentralized Receiver-based Link Stability-aware Forwarding Scheme for NDN-based VANETs. Computer Networks. 236, pp. 1-23. https://doi.org/10.1016/j.comnet.2023.109996
AuthorsZafar, W. U. I., Rehman, M. A. U., Jabeen, F., Ullah, R., Abbas, G. and Khan, A.
Abstract

The inter-vehicle communication in the vehicular ad-hoc network (VANET) providing ubiquitous mobility to mobile users is considered an essential component of intelligent transportation systems (ITS), enabling a wide range of safety and non-safety applications in which the vehicles seamlessly interact and co-operate with each other. The recent paradigm shift in VANETs protocols has led to the adoption of name data networking (NDN) as an underlying communication protocol in VANETs that replaces traditional address-based communication philosophy, treats content as a first-class citizen, and assigns unique names to contents consequently enabling name-based routing and forwarding, caching, and security. Although NDN has significantly improved the underlying communication issues in VANETs, a plethora of challenges such as message broadcast storms, in- efficient packet suppression mechanisms, intermittent connectivity owing to frequent topological changes, and reverse path partioning (RPP) require further attention from the research community. To cope with these issues, this paper proposes decentralized receiver-based link stability-aware forwarding (DRLSF) protocol. The DRLSF is a beacon-less receiver-based multi-hop protocol, well-suited for pull-based applications where end users request desireddatabysendingpackets. ThecomparativeperformanceanalysisvalidatestheeffectivenessoftheDRLSF protocol in different VANET environments and application scenarios.

KeywordsVehicular Ad-Hoc Networks; Named Data Networking; Reverse Path Partitioning; Receiver-based Forwarding; Link Quality; Link Lifetime
Year2023
JournalComputer Networks
Journal citation236, pp. 1-23
PublisherElseiver
ISSN1872-7069
Digital Object Identifier (DOI)https://doi.org/10.1016/j.comnet.2023.109996
Web address (URL)https://www.sciencedirect.com/science/article/pii/S1389128623004413
Accepted author manuscript
License
File Access Level
Controlled
Output statusPublished
Publication dates
Online12 Sep 2023
Publication process dates
Accepted22 Aug 2023
Deposited20 Oct 2023
Supplemental file
File Access Level
Controlled
Permalink -

https://repository.derby.ac.uk/item/q26x7/decentralized-receiver-based-link-stability-aware-forwarding-scheme-for-ndn-based-vanets

  • 102
    total views
  • 2
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Hybrid Non-Technical-Loss Detection in Fog-enabled Smart Grids
Khan, H. M., Jabeen, F., Khan, A., Badawi, S. A., Maple, C. and Jeon, G. 2024. Hybrid Non-Technical-Loss Detection in Fog-enabled Smart Grids. Sustainable Energy Technologies and Assessments. 65, pp. 1-9. https://doi.org/10.1016/j.seta.2024.103775
Privacy-Preserving V2I Communication and Secure Authentication Using ECC With Physical Unclonable Function
Nawaz, I., Ali Shah, M., Khan, A. and Jeon, S. 2024. Privacy-Preserving V2I Communication and Secure Authentication Using ECC With Physical Unclonable Function. Wireless Networks. pp. 1-16. https://doi.org/10.1007/s11276-024-03651-2
A Robust Internet of Drones Security Surveillance Communication Network Based on IOTA
Gilani, S. Y., Anjum, A., Khan, A., Khan, A., Syed, M. H., Moqurrab, S. A. and Srivastava, G. 2024. A Robust Internet of Drones Security Surveillance Communication Network Based on IOTA. Internet of Things. pp. 1-21. https://doi.org/10.1016/j.iot.2024.101066
A Secure and Privacy Preserved Infrastructure for VANETs based on Federated Learning with Local Differential Privacy
Batool, H., Anjum, A., Khan, A., Izzo, S., Mazzocca, C. and Jeon, G. 2023. A Secure and Privacy Preserved Infrastructure for VANETs based on Federated Learning with Local Differential Privacy. Elsevier Information Sciences. 652. https://doi.org/10.1016/j.ins.2023.119717
Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning
Sikandar, H. S., Malik, S. R., Anjum, A., Khan, A. and Jeon, G. 2023. Cohort-based kernel principal component analysis with Multi-path Service Routing in Federated Learning. Future Generation Computer Systems. 149, pp. 518-530. https://doi.org/10.1016/j.future.2023.07.037
An Efficient and Privacy-preserving Blockchain-based Secure Data Aggregation in Smart Grids
Mahmood, A., Khan, A., Anjum, A., Maple, C. and Jeon, G. 2023. An Efficient and Privacy-preserving Blockchain-based Secure Data Aggregation in Smart Grids. Sustainable Energy Technologies and Assessments. 60, pp. 1-11. https://doi.org/10.1016/j.seta.2023.103414
Data Provenance in Healthcare: Approaches, Challenges, and Future Directions
Mansoor Ahmed (PhD), Amil Dar, Markus Helfert, Khan, A. and Jungsuk Kim 2023. Data Provenance in Healthcare: Approaches, Challenges, and Future Directions. Sensors. 23 (14), pp. 1-26. https://doi.org/10.3390/s23146495
Privacy Preservation in the Internet of Vehicles using Local Differential Privacy and IOTA Ledger
Iftikhar, Z., Anjum, A., Jeon, G., Shah, M. A. and Khan, A. 2023. Privacy Preservation in the Internet of Vehicles using Local Differential Privacy and IOTA Ledger. Springer Cluster Computing . pp. 1-17. https://doi.org/10.1007/s10586-023-04002-0
A Privacy-Enabled, Blockchain-Based Smart Marketplace
Bello Musa Yakubu, Majid Iqbal Khan, Khan, A., Adeel Anjum, Madiha Syed and Semeen Rehman 2023. A Privacy-Enabled, Blockchain-Based Smart Marketplace. Applied Sciences. 13 (5), pp. 1-16. https://doi.org/10.3390/app13052914
Blockchain-based DDoS attack mitigation protocol for device-to-device interaction in smart homes
Yakubu, M, Y., Khan, M. I., Khan, A., Jabeen, F. and Jeon, G. 2023. Blockchain-based DDoS attack mitigation protocol for device-to-device interaction in smart homes. Digital Communications and Networks. pp. 1-15. https://doi.org/10.1016/j.dcan.2023.01.013
Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing
Amin, Z., Anjum, A., Khan, A., Ahmad, A. and Jeon, G. 2022. Preserving Privacy of High-Dimensional Data by l-Diverse Constrained Slicing. Electronics. 11 (8), p. 1257. https://doi.org/10.3390/electronics11081257
Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches
Kanwal, T., Attaullaha, H., Anjum, A., Khan, A. and Jeon, G. 2022. Fuzz-classification (p, l)-Angel: An enhanced hybrid artificial intelligence based fuzzy logic for multiple sensitive attributes against privacy breaches. Elsevier Digital Communications and Networks. pp. 1-16. https://doi.org/10.1016/j.dcan.2022.09.025
Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends
Khan, H. M., Khan, A., Khan, B. and Jeon, G. 2022. Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends. MDPI Energies. 15 (24), p. 9350.. https://doi.org/10.3390/en15249350