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• W3207081705 endingPage "76" @default.
• W3207081705 startingPage "76" @default.
• W3207081705 abstract "Wireless sensor networks (WSNs) are considered producers of large amounts of rich data. Four types of data-driven models that correspond with various applications are identified as WSNs: query-driven, event-driven, time-driven, and hybrid-driven. The aim of the classification of data-driven models is to get real-time applications of specific data. Many challenges occur during data collection. Therefore, the main objective of these data-driven models is to save the WSN’s energy for processing and functioning during the data collection of any application. In this survey article, the recent advancement of data-driven models and application types for WSNs is presented in detail. Each type of WSN is elaborated with the help of its routing protocols, related applications, and issues. Furthermore, each data model is described in detail according to current studies. The open issues of each data model are highlighted with their challenges in order to encourage and give directions for further recommendation." @default.
• W3207081705 created "2021-10-25" @default.
• W3207081705 creator A5000193258 @default.
• W3207081705 creator A5023678288 @default.
• W3207081705 creator A5036643341 @default.
• W3207081705 creator A5038280037 @default.
• W3207081705 creator A5076287155 @default.
• W3207081705 date "2021-10-21" @default.
• W3207081705 modified "2023-09-26" @default.
• W3207081705 title "Recent Advancement of Data-Driven Models in Wireless Sensor Networks: A Survey" @default.
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