Tentative Program Schedule
Tuesday, November 21
08:45 - 09:00
Welcome opening
09:00 - 10:15
Localization, Tracking and Positioning
- Spatially Adaptive Positioning for Molecular Geometry Inspired Aerial Networks
- Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections
- SoLVE: A Localization System Framework for VANEts using Cloud and Fog Computing
Tuesday, November 21, 10:15 - 10:45
Coffee break
Tuesday, November 21, 10:45 - 12:15
Vehicular Networking
- Deep Reinforcement Learning Based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks
- A Lightweight and Efficient Approach (LEA) for Hovering Information protocols
- nlsrSIM: Porting and Simulation of Named-data Link State Routing Protocol into ndnSIM
12:15 - 13:30
Lunch
13:30 - 15:15
Resource Management
- On the Characterization of Vehicular Mobility
- Management of Controller Intelligence for Adaptive Cruise Control Systems in Automobiles
- Performance Analysis of Communication Networks for EV Charging Stations in Residential Grid
- Resource Allocation in Software Defined Fog Vehicular Networks
15:15 - 15:45
Coffee break
15:45 - 17:45
Security and Privacy
- The Cooperative Vehicle Infrastructure System Based on Machine Vision
- Utilizing Advanced Metering Infrastructure to Build a Public Key Infrastructure for Electric Vehicles
- Mass Configuration with Confirmation in Tactical Networks
- Detection and Avoidance of Wormhole Attacks in Connected Vehicles
Wednesday, November 22
08:30 - 9:30
Keynote
- VC Research - What is Missing?
9:30 - 10:00
Coffee break
10:00 - 12:00
Routing and Data Dissemination
- Addressing the Effects of Low Vehicle Densities in Highly Mobile Vehicular Named-Data Networks
- Implementation and performance assessment of location-based routing protocols for MANETs
- Using Probabilistic Estimates to Guarantee Reliability in Crossroad VANETs
- Modeling, Analysis and Simulation of Wireless Power Transfer
12:00 - 14:00
Lunch
14:00 - 17:00
Discussion
- Data Collection in Underwater Wireless Sensor Networks: Research Challenges and Potential Approaches