@inproceedings{7eb2696746464190b15dacfba05cfcfc,
title = "Realizing future intelligent networks via spatial and multi-temporal data acquisition in disdrometer networks",
abstract = "- Datil acqulsitten and qualihltive precipitation estimation (QPE),'ia dlsdrnmeters pla y an important role in ntimaring rain-induced att enuation In wtretess networks. However, existing disdromcter observations do Dot provide sufficient information for mod elling intelligent wireless networks. Tbe design of intelligent wireless networks require s that QPE parameters for a location be known at different epochs. This requires that disdrometen with spatial variability should be capable of multi-temporal QPE observations. A disdrometer architecture that addresses this challenge is presented in this paper. The proposed multi-temporal disdrometer incorporates a computing payload for storing QPE related data at multiple epochs, Performance evaluation shows that the use of the proposed multi-temporal disdrometer in QPE related data acquisition increases data suitable for QPE related modelling by up to 52.l OY. and 49.4% in the short term and long term respectively.",
keywords = "Disdrometefs, Disdrometer Networb, Siu o/modelling data, Quantitative Precipitation Estimatil{"}', RemotOlSen.l{"}ing",
author = "Ayodele Penola and Kingsley Ogudo and Akintunde Alonge",
note = "Publisher Copyright: 102020 IEEE.; 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 ; Conference date: 06-08-2020 Through 07-08-2020",
year = "2020",
month = aug,
doi = "10.1109/icABCD49160.2020.9183847",
language = "English",
series = "2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Sameerchand Pudaruth and Upasana Singh",
booktitle = "2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 - Proceedings",
address = "United States",
}