A cross layer protocol for traffic management in Social Internet of Vehicles
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In VSNP, the MAC layer divides circular time slots in a ring type routing, the physical layer consists of Wireless Sensor Network nodes, and the network layer supports routing from the outer rings to a fixed access point.
“The MAC layer divides circular time slots in a ring type routing.The physical layer consists of Wireless Sensor Network nodes and the network layer supports the routing from the outer rings to a fixed access point.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [16]
The VSNP protocol performs better than the existing protocol MERLIN in Matlab-conducted simulations.
“The suggested protocol performs better than an existing protocol (MERLIN) in Matlab conducted simulations.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [16]
[16] proposes a cross layered Vehicular Social Network Protocol (VSNP) to reduce communication congestion in SIOV.
“The authors in [16] propose a cross layered Vehicular Social Network Protocol (VSNP) to reduce communication congestion in SIOV.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [16]
The VSNP protocol spans the MAC, Physical, and network layers to speed up communication.
“The protocol spans to the MAC, Physical, and network layers to speed up the communication.”
From A Review of Machine Learning and IoT in Smart Transportation (2019) · cites this paper as [16]
The cross-layered Vehicular Social Network Protocol outperforms an existing protocol (MERLIN) in simulations run in Matlab.
“In simulations run in Matlab, the proposed protocol outperforms an existing protocol (MERLIN).”
From Smart Transportation: An Overview of Technologies and Applications (2023) · cites this paper as [119]
Cites
Atzori, L., Iera, A., Morabito, G., & Nitti, M. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.07.010 · Cited by 1,238 · see citing works
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A Review of Machine Learning and IoT in Smart Transportation
Zantalis, F., Koulouras, G., Karabetsos, S., & Kandris, D. (2019) · Future Internet · doi:10.3390/fi11040094 · Cited by 625 · see citing works
Smart Transportation: An Overview of Technologies and Applications
Oladimeji, D., Gupta, K., Kose, N. A., Gundogan, K., Ge, L., & Liang, F. (2023) · Sensors · doi:10.3390/s23083880 · Cited by 386 · see citing works
- Authors
- Jain, B., Brar, G., Malhotra, J., Rani, S., & Ahmed, S. H.
- Affiliations
- Punjab Technical University (IN)
- Guru Nanak Dev University (IN)
- University of Central Florida (US)
- Corresponding author
- Rani, Shalli
- Venue
- Future Generation Computer Systems
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 82
- Pages
- 707-714
- ISSN
- 0167-739X (ISSN-L)
- OpenAlex
- W2768891743
- Cited by
- 66
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 8 · 2022: 12 · 2021: 8 · 2020: 16 · 2019: 9 · 2018: 7
- FWCI
- 3.64
- Type
- journal article
- Language
- en
- Open access
- Locations
- Future Generation Computer Systems (publishedVersion)
- Journal of International Crisis and Risk Communication Research (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Computer Science › Computer Networks and Communications › Energy Efficient Wireless Sensor Networks
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- cross-layer protocol, social Internet of Vehicles, Internet of Vehicles, vehicular social networks, traffic management, vehicle-to-vehicle communication, traffic congestion control, road safety, wireless sensor networks, quality of service, intelligent vehicles
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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