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ORCID26th MSWiM 2023: Montreal, Quebec, Canada
- Azzedine Boukerche, Floriano De Rango, Zhi Sun:
Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2023, Montreal, Quebec, Canada, 30 October 2023 - 3 November 2023. ACM 2023
Keynote Talks
- J. J. Garcia-Luna-Aceves
:
Research Directions in Network Architectures and Protocols for Intelligent Digital Infrastructures. 1-4 - Soumaya Cherkaoui:
Quantum Leap: Exploring the Potential of Quantum Machine Learning for Communication Networks. 5
Tutorial
- Noura Aljeri:
Smart Mobility Management for 5G-enabled Vehicular Networks: Challenges and Guidelines. 7
Session 1: Indoor Positioning
- Antonin Le Floch, Rahim Kacimi, Pierre Druart, Yoann Lefebvre, André-Luc Beylot:
Accurate E-CID Framework for Indoor Positioning in 5G using Path Tracing and Machine Learning. 9-17 - Nestor Gonzalez Díaz, Enrica Zola, Israel Martín-Escalona:
Assessing the Impact of Coupling RTT and RSSI Measurements in Fingerprinting Wi-Fi Indoor Positioning. 19-26
Session 2: Wireless Communications and Networks
- Juan Antonio Cordero Fuertes:
On the Dynamics of Single-Orbit Requester-Provider Systems. 27-36 - Markus Sommer, Artur Sterz, Markus Vogelbacher, Hicham Bellafkir, Bernd Freisleben:
QUICL: A QUIC Convergence Layer for Disruption-tolerant Networks. 37-46 - J. J. Garcia-Luna-Aceves, Dylan J. Cirimelli-Low:
Simple and Efficient Loop-Free Multipath Routing in Wireless Networks. 47-56
Session 3: Scheduling and Offloading
- Ang Deng, Douglas M. Blough:
Efficient and Effective Proactive Scheduling for mmWave WLANs. 57-64 - Jean Abou Rahal, Gustavo de Veciana:
Scheduling "Last Minute" Updates for Timely Decision-Making. 65-72 - Francesco Spinelli, Antonio Bazco Nogueras, Vincenzo Mancuso:
Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge. 73-82 - Andrea Fox, Francesco De Pellegrini, Eitan Altman:
Learning Optimal Edge Processing with Offloading and Energy Harvesting. 83-92 - Victoria Planchart, Lenny Martinez, Humza Ali, Myles Toole, Michael B. Rahaim:
A Low-Cost Open-Source Testbed for Experimental Analysis of Ultra-Dense Wireless Networks. 93-97
Session 4: Task offloading and Edge Computing
- Agrim Bari, Gustavo de Veciana, Kerstin Johnsson, Alexander Pyattaev:
Managing Edge Offloading for Stochastic Workloads with Deadlines. 99-108 - Carlos Silva, Naércio Magaia, António Grilo:
Task Offloading Optimization in Mobile Edge Computing based on Deep Reinforcement Learning. 109-118
Session 5: Modeling and Performance Analysis
- Esther Guérin, Thomas Begin, Isabelle Guérin Lassous, Anthony Busson:
Performance Analysis of MAC Energy-saving Strategies for WLANs. 119-126 - Yuki Ichimura, Shigeo Shioda, Takeshi Hirai:
Modeling and Performance Analysis of Slotted ALOHA with Interference Cancellation for mMTC. 127-136 - Byungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft:
Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing. 137-145
Session 6: Security and Privacy
- Alisson Renan Svaigen, Azzedine Boukerche, Linnyer B. Ruiz, Antonio A. F. Loureiro:
IoDAPM: A Reinforcement Learning Approach for Dynamic Assignment of Protection Mechanisms in IoD. 147-154 - Hadi Yakan, Ilhem Fajjari, Nadjib Aitsaadi, Cédric Adjih:
Federated Learning for V2X Misbehavior Detection System in 5G Edge Networks. 155-163 - Mateo Sebastian Lomas, Robinson Paspuel, Cristhian Iza, Mónica Aguilar-Igartua:
SLOW-Based Pseudonym Changing Schemes for Location Privacy in Vehicular Networks. 165-173 - Mohammed A. Abdelmaguid, Hossam S. Hassanein, Mohammad Zulkernine:
A VeReMi-based Dataset for Predicting the Effect of Attacks in VANETs. 175-179
Session 7: Modeling and Simulation
- Johannes Kässinger, Heiko Trötsch, Frank Dürr, Janick Edinger:
SimEdge: Towards Accelerated Real-Time Augmented Reality Simulations Using Adaptive Smart Edge Computing. 181-190 - Tongyang Liu, Ming Zhu, Jing Li, Zhihao Gao, Chun Wang, Yuhong Yan:
Repairing a Service Composition with Graph Embedding and Planning Graph in a Cloud-Edge Environment. 191-198 - Ayan Banerjee, Payal Kamboj, Aranyak Maity, Riya Sudhakar Salian, Sandeep K. S. Gupta:
High Fidelity Fast Simulation of Human in the Loop Human in the Plant (HIL-HIP) systems. 199-203 - Diogo Corrêa Oliveira, Enrica Zola, Israel Martín-Escalona:
Impact of the Burst Size on the FTM Procedure in Android Phones. 205-208
Session 9: IoT, Sensors and Embedded Systems
- Samuel Matloob, Ayan Dutta, O. Patrick Kreidl, Damla Turgut, Ladislau Bölöni:
Exploring the Tradeoffs Between Systematic and Random Exploration in Mobile Sensors. 209-216 - Vicente Torres-Sanz, Julio A. Sanguesa, Félix Serna, Francisco J. Martinez, Piedad Garrido, Carlos T. Calafate:
Analysis of the Influence of Terrain on LoRaWAN-based IoT Deployments. 217-224 - Madhushanka Padmal, Johan Engstrand, Robin Augustine, Thiemo Voigt:
Signal Leakage in Fat Tissue-Based In-Body Communication: Preserving Implant Data Privacy. 225-232
Session 10: Wireless Networks Embedded Systems
- Daniel Schneider, Hannes Frey:
Determining the Ordering of a Line Topology under Correlated Shadowing and Fast Fading. 233-242 - Sathish Gopalakrishnan, Yousef Sherif:
Djenne: Dependable and Decentralized Computation for Networked Embedded Systems. 243-252 - Dinesh Tamang, Martin Heusse, Andrea Abrardo, Andrzej Duda:
Fast Transmission of Massive Concurrent Alarm Messages in LoRaWAN. 253-257
Session 11: IoT and Wireless Networks
- Faeze Moradi Kalarde, Ben Liang, Min Dong, Yahia A. Eldemerdash Ahmed, Ho Ting Cheng:
Power Minimization in Federated Learning with Over-the-air Aggregation and Receiver Beamforming. 259-267 - Fabien Meslet-Millet, Sandrine Mouysset, Emmanuel Chaput:
DCH: A Deep Learning Approach To Universal Header Compression For The Internet of Things. 269-276 - Nina Grosheva, Rizqi Hersyandika, Joerg Widmer, Sofie Pollin:
In-Band Multi-Connectivity with Local Beamtraining for Improving mmWave Network Resilience. 277-284 - Tharakeswararaju Buchipalli, V. Mahendran, Venkataramana Badarla:
How Fresh is the Data? An Optimal Learning-Based End-to-End Pull-Based Forwarding Framework for NDNoTs. 285-289 - Arush S. Sharma, Marwan Krunz, George Reiland, Daniel P. Marrone:
Identification of RF Interference in Astronomical Observations Using Weakly Supervised Machine Learning Classifiers. 291-295
Session 12: Federated Learning and Wireless Networks
- Mauro Tropea, Mattia Giovanni Spina, Floriano De Rango:
Supporting Dynamic IDS Deployment with Load Balancing Strategy for SDN-enabled Drones in Emergency Scenarios. 297-300 - Juan Pablo Astudillo León, Anthony Busson, Luis J. de la Cruz Llopis, Thomas Begin, Azzedine Boukerche:
Strategies to Plan the Number and Locations of RSUs for an IEEE 802.11p-based Infrastructure in Urban Environment. 301-305 - Raja Hasnain Anwar, Fatima Muhammad Anwar, Muhammad Kumail Haider, Alon Efrat, Muhammad Taqi Raza:
Redefining the Driver's Attention Gauge in Semi-Autonomous Vehicles. 307-311 - Hend K. Gedawy, Khaled A. Harras, Thang Bui, Temoor Tanveer:
RealFL: A Realistic Platform for Federated Learning. 313-317
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