TY - GEN
T1 - WTTool
T2 - 9th IEEE World Forum on Internet of Things, WF-IoT 2023
AU - Accurso, Nicholas
AU - De, Diptangshu
AU - Dey, Annoy
AU - Stokes, Nicholas
AU - Malandra, Filippo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Perhaps the most popular method of studying cellular networks is the use of network simulation. Conducting simulation, as opposed to studying real functioning networks, offers a much higher degree of accessibility at the cost of being slightly less accurate. In order to bridge this accuracy gap, we look for ways to conveniently make simulations more realistic. One such method is the use of real geographical data when considering the placement of nodes in the network. In this work, we present our publicly available, web-based platform Wireless Topology Tool (WTTool). Researchers can use WTTool to plan and design network topologies based on geographical data. Further, WTTool allows researchers to share geographical datasets with the community, encouraging the reproduction of results. Additionally, our platform provides a means to visualize geography-based simulation results in the form of a heatmap. In this paper, we discuss how the WTTool works, the different functionalities it offers, and how a researcher can use it. Finally, we provide 2 use cases to illustrate the full workflow of a researcher using the WTTool platform.
AB - Perhaps the most popular method of studying cellular networks is the use of network simulation. Conducting simulation, as opposed to studying real functioning networks, offers a much higher degree of accessibility at the cost of being slightly less accurate. In order to bridge this accuracy gap, we look for ways to conveniently make simulations more realistic. One such method is the use of real geographical data when considering the placement of nodes in the network. In this work, we present our publicly available, web-based platform Wireless Topology Tool (WTTool). Researchers can use WTTool to plan and design network topologies based on geographical data. Further, WTTool allows researchers to share geographical datasets with the community, encouraging the reproduction of results. Additionally, our platform provides a means to visualize geography-based simulation results in the form of a heatmap. In this paper, we discuss how the WTTool works, the different functionalities it offers, and how a researcher can use it. Finally, we provide 2 use cases to illustrate the full workflow of a researcher using the WTTool platform.
KW - Cellular IoT
KW - Internet of Things
KW - Network Generation
KW - Telecommunication Network Topology
KW - Wireless Networks
UR - https://www.scopus.com/pages/publications/85195415213
U2 - 10.1109/WF-IoT58464.2023.10539469
DO - 10.1109/WF-IoT58464.2023.10539469
M3 - Conference contribution
AN - SCOPUS:85195415213
T3 - 2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
BT - 2023 IEEE World Forum on Internet of Things
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 October 2023 through 27 October 2023
ER -