![]() | Up a level |
This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Capone, A., Malandra, F., & Sanso, B. (2012). Energy Savings in Wireless Mesh Networks in a Time-Variable Context. Mobile Networks & Applications, 17(2), 298-311. External link
Malandra, F., Mellah, H., Firouzabadi, A. D., Wetté, 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. External link
Manzanilla Salazar, O. G., Mellah, H., Malandra, F., & Sanso, B. (2021, September). An algorithm for threading assignment in large-scale wireless network mobile simulations [Paper]. 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Application (DS-RT 2021), Valencia, Spain (10 pages). External link
Manzanilla Salazar, O. G., Malandra, F., Mellah, H., Wetté, C., & Sanso, B. (2020). A machine learning framework for sleeping cell detection in a smart-city IoT telecommunications infrastructure. (Technical Report n° G-2019-70). External link
Malandra, F., Kizilkale, A. C., Sirois, F., Sanso, B., Anjos, M. F., Bernier, M., Gendreau, M., & Malhamé, R. P. (2020). Smart distributed energy storage controller (smartDESC). (Technical Report n° G-2020-15). External link
Manzanilla Salazar, O. G., Malandra, F., Mellah, H., Wetté, C., & Sanso, B. (2020). A Machine Learning Framework for Sleeping Cell Detection in a Smart-City IoT Telecommunications Infrastructure. IEEE Access, 8, 61213-61225. External link
Malandra, F., Kizilkale, A. C., Sirois, F., Sanso, B., Anjos, M. F., Bernier, M., Gendreau, M., & Malhamé, R. P. (2020). Smart Distributed Energy Storage Controller (smartDESC). Energy, 210, 10 pages. External link
Manzanilla Salazar, O. G., Malandra, F., & Sanso, B. (2019, March). eNodeB Failure Detection from Aggregated Performance KPIs in Smart-city LTE Infrastructures [Paper]. 15th International Conference on the Design of Reliable Communication Networks (DRCN 2019), Coimbra, Portugal. External link
Malandra, F., Pourramezan, R., Karimi, H., & Sanso, B. (2018). Impact of PMU and smart meter applications on the performance of LTE-based smart city communications. (Technical Report n° G-2018-93). External link
Manzanilla Salazar, O. G., Malandra, F., & Sanso, B. (2018). eNodeB failure detection from aggregated performance KPIs in smart-city LTE infrastructures. (Technical Report n° G-2018-79). External link
Malandra, F., Chiquette, L. O., Lafontaine-Bédard, L.-P., & Sanso, B. (2018). Traffic characterization and LTE performance analysis for M2M communications in smart cities. (Technical Report n° G-2017-110). External link
Malandra, F., Pourramezan, R., Karimi, H., & Sanso, B. (2018, September). Impact of PMU and smart meter applications on the performance of LTE-based smart city communications [Paper]. IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Bologna, Italy (6 pages). External link
Malandra, F., & Sanso, B. (2018). A Markov-Modulated End-to-End Delay Analysis of Large-Scale RF Mesh Networks With Time-Slotted ALOHA and FHSS for Smart Grid Applications. IEEE Transactions on Wireless Communications, 17(11), 7116-7127. External link
Malandra, F., & Sanso, B. (2018). Performance evaluation of large-scale RF-mesh networks in a smart city context. Mobile Networks and Applications, 23(4), 912-920. External link
Malandra, F., Chiquette, L. O., Lafontaine-Bédard, L.-P., & Sanso, B. (2018). Traffic characterization and LTE performance analysis for M2M communications in smart cities. Pervasive and Mobile Computing, 48, 59-68. External link
Malandra, F., Potvin, P., Rochefort, S., & Sanso, B. (2017, October). A case study for M2M traffic characterization in a smart city environment [Paper]. 1st International Conference on Internet of Things and Machine Learning (IML 2017), Liverpool, UK (9 pages). External link
Malandra, F., & Sanso, B. (2017, October). Performance analysis of large scale RF-mesh networks for smart cities and IoT [Paper]. IEEE International Conference on Smart Grid Communications (SmartGridComm 2017), Dresden, Germany. External link
Malandra, F., & Sanso, B. (2017). A simulation framework for network performance evaluation of large-scale RF-mesh AMIs. Simulation Modelling Practice and Theory, 75, 165-181. External link
Malandra, F., & Sanso, B. (2017, July). A Simulation Tool for the Performance Evaluation of Large-scale RF-Mesh Networks for Smart Grid and IoT Applications [Paper]. 1st EAI International Conference on Smart Grid Assisted Internet of Things (SGIOT 2017), Sault Ste. Marie, ON, Canada (10 pages). External link
Malandra, F. (2016). A Framework for the Performance Analysis and Simulation of RF-Mesh Advanced Metering Infrastructures for Smart Grid Applications [Ph.D. thesis, École Polytechnique de Montréal]. Available
Malandra, F., & Sanso, B. (2016). A Java-based simulation tool for the performance analysis of large-scale wireless mesh networks. (Technical Report n° G-2016-31). External link
Malandra, F., & Sanso, B. (2016). Visual PeRF-Mesh: A comprehensive geographical tool for large scale RF-mesh AMI planning and performance evaluation. (Technical Report n° G-2016-30). External link
Malandra, F., & Sanso, B. (2016). A simulation framework for network performance evaluation of large-scale RF-mesh AMIs. (Technical Report n° G-2016-19). External link
Malandra, F., & Sanso, B. (2015). PeRF-Mesh: A performance analysis tool for large scale RF-mesh-based smart meter networks with FHSS. (Technical Report n° G-2015-118). External link
Malandra, F., & Sanso, B. (2015). Analytical performance analysis of a large-scale RF-mesh smart meter communication system. (Technical Report n° G-2015-46). External link
Malandra, F., & Sanso, B. (2015, February). Analytical performance analysis of a large-scale RF-mesh smart meter communication system [Paper]. IEEE Power and Energy Society Innovative Smart Grid Technologies Conference (ISGT 2015), Washington, DC, United states. External link
Malandra, F., & Sanso, B. (2015, November). PeRF-Mesh: A performance analysis tool for large scale RF-mesh-based smart meter networks with FHSS [Paper]. IEEE International Conference on Smart Grid Communications (SmartGridComm 2015), Miami, FL. External link
Seyedi, Y., Karimi, H., Malandra, F., Sanso, B., & Mahseredjian, J. (2020). Coordinated Control of Distributed Energy Resources Using Features of Voltage Disturbances. IEEE Transactions on Industrial Informatics, 16(6), 3895-3904. External link