WT-Tool - A Powerful Tool to Integrate Real Geographic Data in Wireless Research
Wireless Topology Tool (WT-Tool) is an application designed to foster the use of real (or realistic) geographic data in the wireless networking research community. The tool can be used to conduct more realistic, geography - based simulations. One of the main objectives is to increase the reproducibility of results. Using this platform, you can load, create, and export realistic network topologies through our map-based interface.
See the below videos for instructions to get started building your own topologies
Overview of WT-Tool
Explore WT-Tool's tutorial video to harness real geographic data for creating realistic wireless network topologies. Learn to load, create, and export simulations effortlessly, enhancing research reproducibility.
WN4SS LabCreating and Saving Topologies
Learn to craft and share intricate network topologies effortlessly with Wireless Topology Tool (WT-Tool). Master the process in minutes, enhancing collaboration and reproducibility in your wireless networking projects!
WN4SS LabAbout Us
The Wireless Networks for Smart Systems (WN4SS) Lab is part of the department of electrical engineering at the University at Buffalo (UB). We conduct cutting edge research in the areas of IoT, smart cities, wireless networks, and machine learning for network performance.
Our Team
Filippo Malandra
Assistant Professor
Department of Electrical Engineering,
University at Buffalo
Email: filippom@buffalo.edu
Nicholas Accurso
PhD Student
Department of Electrical Engineering,
University at Buffalo
Email: naccurso@buffalo.edu
Samir Si-Mohammed
Associate Professor
Université de Lorraine
Nalin Mujoo
Masters Student
Department of Computer Science,
University at Buffalo
Bhargavi Krishnamurthi
Masters Student
Department of Computer Science,
University at Buffalo
Bob French
Masters Student
Department of Electrical Engineering,
University at Buffalo
Nick Cataldo
Undergraduate Student
Department of Computer Science,
University at Buffalo
Akshay Malse
Masters Student
Department of Computer Science,
University at Buffalo
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