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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.
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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.
Hentati, A., Mlika, Z., Frigon, J.-F., & Ajib, W. (2022, April). Energy Harvesting Wireless Sensor Networks: Inter-delivery-aware Scheduling Algorithms [Paper]. 2022 IEEE Wireless Communications and Networking Conference (WCNC 2022), Austin, TX, USA. External link
Hentati, A. (2021). Réseaux de capteurs sans fil avec récolte d'énergie : techniques de transmission pour les applications sensibles au délai [Ph.D. thesis, Polytechnique Montréal]. Available
Hentati, A., Jaafar, W., Frigon, J.-F., & Ajib, W. (2021). Analysis of the Inter-delivery Time in IoT Energy Harvesting Wireless Sensor Networks. IEEE Internet of Things Journal, 8(6), 4920-4930. External link
Hentati, A., Jaafar, W., Frigon, J.-F., & Ajib, W. (2020, January). Update interval violation probability in energy harvesting wireless sensor networks [Paper]. IEEE 17th Annual Consumer Communications & Networking Conference (CCNC 2020), Las Vegas, NV, USA (6 pages). External link
Hentati, A., Frigon, J.-F., & Ajib, W. (2019). Energy Harvesting Wireless Sensor Networks with Channel Estimation: Delay and Packet Loss Performance Analysis. IEEE Transactions on Vehicular Technology, 69(2), 1956-1969. External link
Hentati, A., Driouch, E., Frigon, J.-F., & Ajib, W. (2018). Fair and low complexity node selection in energy harvesting wireless sensor networks. IEEE Systems Journal, 12(4), 3796-3806. External link
Hentati, A., Frigon, J.-F., & Ajib, W. (2018, August). Information Age and Packet Loss Performance Analysis of Energy Harvesting WSNs [Paper]. 88th IEEE Vehicular Technology Conference (VTC-Fall 2018), Chicago, IL, USA (5 pages). External link
Hentati, A. (2016). Sélection des nœuds dans les réseaux de capteurs sans fil avec récolte d'énergie [Master's thesis, École Polytechnique de Montréal]. Available
Hentati, A., Driouch, E., Frigon, J.-F., & Ajib, W. (2016, September). Low Complexity Node Selection Algorithms in MU-MIMO Energy Harvesting WSNs [Paper]. 84th IEEE Vehicular Technology Conference (VTC-Fall 2016), Montréal, Québec (5 pages). External link
Zouine, C., Hentati, A., & Frigon, J.-F. (2022, July). Energy harvesting WSNs with adaptive modulation: inter-delivery-aware scheduling algorithms [Paper]. International Conference on Computer, Information and Telecommunication Systems (CITS 2022), Piraeus, Greece (8 pages). External link