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2020 Proceeding- General Chair:
- Mirela Notare,
- Program Chair:
- Peng Sun
Welcome to the 10th ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet '20). This year, the DIVANet will exceptionally be held virtually on November 16th to November 20th, 2020.
The DIVANet '20 aims to provide researchers and practitioners with a venue to discuss and share state-of-the-art research and developments on vehicular networking, vehicular autonomous systems, vehicular autonomous systems, and vehicular applications. DIVANet has followed new trends and emerging technologies, such as Internet of vehicles, connected and autonomous vehicles, vehicular edge and cloud computing, smart transportation systems, and smart cities.
The call for papers has attracted a large number of high-quality submissions worldwide. Every paper submitted had been peer-reviewed by at least three referees from the Technical Program Committee. Due to time limitations, we could only accommodate nine papers in the technical program. The featured papers span from a wide range of topics related to Internet of vehicles, vehicular networking and application, traffic management and control, and machine learning towards smart vehicular networking.
Proceeding Downloads
Edge Computing for Video Analytics in the Internet of Vehicles with Blockchain
In intelligent transportation systems (ITS), video analytics is a potential technology to enhance the safety of the Internet of Vehicles (IoV). However, massive video data transmission and computation-intensive video analytics bring an overwhelming ...
Real-Time Low-Pixel Infrared Human Detection From Unmanned Aerial Vehicles
To improve the speed and accuracy in human detection in Search and Rescue (SAR) operations, this paper presents a novel and highly efficient machine learning empowered system by extending the You Only Look Once (YOLO) algorithm, which is designed and ...
A Multi-stack Simulation Framework for Vehicular Applications Testing
- Marco Malinverno,
- Francesco Raviglione,
- Claudio Casetti,
- Carla-Fabiana Chiasserini,
- Josep Mangues-Bafalluy,
- Manuel Requena-Esteso
The vast majority of vehicular applications leverage vehicle-to-everything communications (V2X) to increase road safety, optimize the available transportation resources, and improve the user experience. Because of the complexity and the high deployment ...
Advanced Models for the Simulation of AGV Communication in Industrial Environments: Model proposal and Demonstration
Wireless communication continuously gains importance in the industrial environment. Mobile communication, for example between Automated Guided Vehicles (AGVs), is a particularly challenging use case. The AGVs move in the industrial environment and ...
Trustworthy Traffic Information Sharing Secured via Blockchain in VANETs
The extensive use of vehicles, especially with the emergency of autonomous driving, urges the improvement of traffic safety. Prevalent approaches, such as Global Positioning System (GPS), Internet of Things (IoT) system and Artificial Intelligence (AI), ...
Machine Learning-Based Intrusion Detection System for Controller Area Networks
The automotive industry continues to innovate at an exponential rate to provide a safer and more efficient experience for consumers. Autonomous vehicles and Vehicle-to-Everything technologies are at the forefront of defining the future of ...
Vehicle Fusion Positioning Model based on CSI
High precision positioning in non-open area has always been a bottleneck in the development of V2X. In order to ensure the positioning performance of V2X in non-open area, this paper proposes a vehicle fusion localization method based on Channel State ...
Reactive Overlays for Adaptive Routing in Mobile Ad hoc Networks
Several emerging applications for the Internet of Things, vehicular networks, or decentralized communication using smartphones rely on Mobile Ad hoc Networks (MANETs). These networks are temporary deployments of nodes equipped with infrastructure-less ...
Machine Learning for Self-Adaptive Internet of Underwater Things
Internet of Underwater Things (IoUTs) has gained increased momentum thanks to the advancements in underwater nodes, sensing, and communication technologies. This novel paradigm has tremendous potential to empower smart ocean applications. However, the ...
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| DIVANet '22 | 40 | 14 | 35% |
| DIVANet '14 | 78 | 20 | 26% |
| DIVANet '13 | 110 | 16 | 15% |
| DIVANet '12 | 80 | 20 | 25% |
| Overall | 308 | 70 | 23% |