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Novel Fuzzy Logic Scheme for Push-Based Critical Data Broadcast Mitigation in VNDN
Sajjad Ahmad Khan1, Huhnkuk Lim1
1Department of Computer Engineering, Hoseo University, Asan-si 31499, Korea.
Sensors (Basel, Switzerland)
|October 27, 2022
Summary
This study introduces a Fuzzy Logic-based Push Data Forwarding (FLPDF) scheme to reduce broadcast storms in Vehicular Named Data Networking (VNDN). The FLPDF scheme significantly cuts data packets and boosts efficiency for connected and autonomous vehicles (CAV).
Area of Science:
- Vehicular communication networks
- Network architecture and protocols
- Intelligent transportation systems
Background:
- Vehicular Named Data Networking (VNDN) enables data exchange for Connected and Autonomous Vehicles (CAV).
- Current VNDN relies on pull-based data forwarding, which is insufficient for critical, time-sensitive information.
- Push-based forwarding in VNDN faces challenges like broadcast storms, where excessive data transmission degrades network performance.
Purpose of the Study:
- To propose a novel Fuzzy Logic-based Push Data Forwarding (FLPDF) scheme.
- To mitigate the broadcast storm effect in VNDN for critical data dissemination.
- To enhance the efficiency and reliability of data forwarding for CAVs in emergency situations.
Main Methods:
- Vehicles are clustered using the K-means algorithm.
- Cluster Heads (CHs) are selected via a fuzzy logic approach.
- CHs manage critical data packet broadcasting within clusters; Gateways (GWs) facilitate inter-cluster communication.
Main Results:
- The FLPDF scheme significantly reduces the number of transmitted data packets compared to naive methods.
- The proposed scheme achieves a substantial increase in network efficiency.
- Simulation results demonstrate a five-fold reduction in data packets and a six-fold increase in efficiency.
Conclusions:
- The Fuzzy Logic-based Push Data Forwarding (FLPDF) scheme effectively addresses the broadcast storm problem in VNDN.
- FLPDF enhances data dissemination efficiency and reliability for critical information in CAV environments.
- This approach offers a promising solution for future vehicular networking architectures.
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