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Updated: Jan 20, 2026
01:04
Types Of Collisions - I
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Leveraging a Publish/Subscribe Fog System to Provide Collision Warnings in Vehicular Networks
Subhadeep Patra1, Pietro Manzoni2, Carlos T Calafate3
1Department of Computer Engineering, Universidad Politécnica de Valencia, Camino de Vera S/N, 46022 Valencia, Spain. subpat@doctor.upv.es.
Sensors (Basel, Switzerland)
|September 7, 2019
Summary
This study introduces a fog computing architecture for connected vehicles, enhancing safety with a smartphone-based forward collision warning system. The proposed edge/fog solution significantly outperforms cloud-based APIs, demonstrating improved performance and low communication overhead.
Area of Science:
- Computer Science
- Networking
- Internet of Things
Background:
- Cloud computing faces challenges in latency and scalability for real-time applications.
- Fog computing extends cloud capabilities to the network edge, enabling distributed processing.
- Connected vehicles require efficient, low-latency data processing for safety applications.
Purpose of the Study:
- To propose a novel fog computing architecture utilizing a "content island" concept.
- To develop and evaluate a smartphone-based forward collision warning system for connected vehicles.
- To compare the performance of the proposed edge/fog solution against a cloud-based API.
Main Methods:
- Developed a fog computing architecture with interconnected "content islands" for data processing.
- Implemented a forward collision warning application using smartphone sensors (GPS, camera, optical sensor).
- Estimated vehicle distances and generated warnings based on predefined safe distances.
Main Results:
- The system accurately estimated distances between vehicles.
- Inter-island communication demonstrated very low overhead, leading to improved performance.
- The proposed edge/fog computing solution outperformed a traditional cloud-based API.
Conclusions:
- The developed fog computing architecture is effective for connected vehicle safety applications.
- Edge/fog computing offers superior performance compared to cloud-based solutions for this use case.
- The "content island" approach provides a scalable and efficient framework for distributed data processing.
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