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• W3005588269 abstract "With the continuous development of wireless network technology, more and more mobile devices are connected to the network, and the location information of these devices is becoming one of the important basis for analyzing other geographic data in the net. Location is an important problem in spatial information sensing, and the theoretical basis of location is the free space fading feature of wireless signals. In this paper, we proposes WiLocWare, which is a middle ware to understand and modeling the performance of the state-of-the-art and to be proposed algorithms. We evaluated and characterized the correlation between localization accuracy and networks parameters such as signal propagation model, the coverage of wireless radios, the distributions of wireless devices and the density of the anchor nodes. The experimental results show the localization accuracies under different wireless signatures, WiLocWare is also scalable for the performance evaluation for the to be proposed algorithms." @default.
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• W3005588269 date "2020-01-01" @default.
• W3005588269 modified "2023-10-16" @default.
• W3005588269 title "Modeling and Understanding the Localization Performance With Network Signatures" @default.
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• W3005588269 doi "https://doi.org/10.1109/access.2020.2973315" @default.
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