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Intersection-Based Link-Adaptive Beaconless Forwarding in Urban Vehicular Ad-Hoc Networks
Khaleel Husain1, Azlan Awang2, Nidal Kamel3
1Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak, Malaysia. khaleelhusain@ieee.org.
Sensors (Basel, Switzerland)
|March 16, 2019
Summary
This study introduces Intersection-based Link-adaptive Beaconless Forwarding for City scenarios (ILBFC), an efficient routing protocol for urban vehicular ad-hoc networks (VANETs). ILBFC enhances remote monitoring by leveraging intersection data for reliable data delivery.
Area of Science:
- Computer Science
- Networking
- Wireless Communication
Background:
- Urban vehicular ad-hoc networks (VANETs) face routing challenges due to environmental constraints and application demands.
- Remote monitoring in urban VANETs requires efficient and reliable data forwarding solutions.
Purpose of the Study:
- To propose a novel receiver-based data forwarding protocol, Intersection-based Link-adaptive Beaconless Forwarding for City scenarios (ILBFC).
- To leverage urban road intersection information for improved routing efficiency and reliability in VANETs.
Main Methods:
- Developed ILBFC, a protocol utilizing intersection geographic information to manage relay vehicle forwarding duration.
- Implemented a winner relay management scheme to address vehicle speed decay.
- Simulated ILBFC in realistic urban traffic conditions for performance evaluation.
Main Results:
- ILBFC demonstrated superior performance compared to existing state-of-the-art routing protocols.
- Key performance metrics include packet delivery ratio, average end-to-end delay, and packet redundancy coefficient.
- The protocol effectively handles urban environment constraints for remote monitoring applications.
Conclusions:
- ILBFC offers an efficient and reliable routing solution for remote monitoring in urban VANETs.
- The protocol's adaptive link and relay management strategies are crucial for urban environments.
- Leveraging intersection data significantly enhances routing performance in city scenarios.
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