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Firouzabadi, A. D., Mellah, H., Manzanilla Salazar, O. G., Khalvandi Ilezoole, R., Therrien, V., Boutin, V., & Sanso, B. (2023). PIoT: A Performance IoT Simulation System for a Large-Scale City-Wide Assessment. IEEE Access, 11, 56273-56286. Lien externe
Garroussi, Z., Badirou, A. W., D'Amours, M., Girard, A., & Sanso, B. (2023). On the economic viability of solar energy when upgrading cellular networks. IEEE Transactions on Green Communications and Networking, 7(2), 744-758. Lien externe
Golzari Oskoui, M. R., & Sanso, B. (octobre 2023). Online Dependency-aware Task offloading in Cloudlet-based Edge Computing Networks [Communication écrite]. 21st ACM International Symposium on Mobility Management and Wireless Access (MobiWac 2023), Montréal, QC, Canada. Lien externe
Gupta, V., Firouzabadi, A. D., Mellah, H., & Sanso, B. (octobre 2023). Quantifying Network Level Improvement due to Beamforming on the Performance of Large-Scale Dense Urban IoT Networks [Communication écrite]. International ACM Symposium on Mobility Management and Wireless Access (MobiWac 2023), Montreal, Quebec, Canada (7 pages). Lien externe
Jeske, M., Nascimento, M. C.V., Aloise, D., & Sanso, B. (novembre 2023). Path loss prediction for mesh networks in a real urban environment using machine learning [Présentation]. Dans Simpósio Brasileiro de Pesquisa Operacional 2023, São José dos Campos, SP, Brasil. Publié dans Anais do Simpósio Brasileiro de Pesquisa Operacional, 55. Lien externe
Malandra, F., Mellah, H., Firouzabadi, A. D., Wette, C., & Sanso, B. (2023). A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks. IEEE Internet of Things Magazine, 6(1), 134-140. Lien externe
Manzanilla Salazar, O. G., Mellah, H., & Sanso, B. (2023). Recognizing Emergencies and Multi-User Behavior Patterns Using Imperfect Data From Distributed Access Points. A Non-Intrusive Proof of Concept. IEEE Access, 11, 91234-91246. Disponible
