Technical Program
Sunday, October 29
8:00 - 8:45
Open Registration
8:45 - 9:00
Q2SWinet - Welcome message
9:00 - 10:30
Session 1:
- T-SAPR: An Efficient Q-Learning Trust-based Secure Routing Protocol for Underwater Acoustic Sensor Networks
- Resource-aware Security Configuration for Constrained IoT Devices
- dNextG: A Zero-Trust Decentralized Mobile Network User Plane
10:30 - 11:00
Coffee break
11:00 - 12:30
Session 2
- Evaluation of IEEE 802.11 Ad hoc-Based Wireless Seismic Data Acquisition Networks
- IoTNetEMU - A framework to emulate and test IoT applications
- Network Simulation Bridge: Bridging Applications to Network Simulators
12:30 - 13:30
Lunch break
13:30 - 15:00
Session 3:
- Towards a Trusted Channel Energy-Aware Routing Algorithm for Underwater Sensor Networks
- GNB-RPL: Gaussian Naïve Bayes for RPL routing protocol in Smart Grid Communications
- Serverless Computing for Mobile Augmented Reality Systems
Monday, October 30
08:30-9:30
MSM-1: Indoor Positioning
- Accurate E-CID Framework for Indoor Positioning in 5G using Path Tracing and Machine Learning.
- Assessing the Impact of Coupling RTT and RSSI Measurements in Fingerprinting Wi-Fi Indoor Positioning.
09:30 - 10:30
Keynote Speech
- Research Directions in Network Architectures and Protocols for Intelligent Digital Infrastructures
- JJ Garcia-Luna-Aceves (University of Toronto, Canada)
10:30 - 11:00
Coffee break
11:00 - 12:30
MSW-2: Wireless Communications and Networks
- On the Dynamics of Single-Orbit Requester-Provider Systems.
- QUICL: A QUIC Convergence Layer for Disruption-tolerant Networks.
- Simple and Efficient Loop-Free Multipath Routing in Wireless Networks.
12:30 - 13:30
Lunch break
13:30 - 14:30
Panel Discussion
- Panelists
- JJ Garcia-Luna-Aceves (University of Toronto, Canada), Douglas Blough (Georgia Institute of Technology, USA), Ahmed Helmy (University of North Carolina, USA)
14:30 - 14:45
Coffee break
14:45 - 16:45
Session 4
- ASRSR: Adaptive Sending Resolution and Super-resolution for Real-time Video Streaming
- Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
- Modeling and Analysis of Latencies in Multi-User, Multi-RAT Edge Computing
- Adversarial Training Method for Machine Learning Model in a Resource-Constrained Environment
16:45 - 17:45
Session 5:
- IHGWO-Based Optimization of IoT Wireless Sensor Networks
- An Exchange-based AIoT Platform for Fast AI Application Development