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- W3112454017 abstract "The popularity of smart things constructs sensing networks for the Internet of Things (IoT), and promotes intelligent decision-makings in industrial IoT applications, where multi-attribute query processing is an essential ingredient. Considering the huge number of smart things and large-scale of the network, traditional query processing mechanisms may not be applicable, since they mostly depend on a centralized index tree structure. To address this issue, this paper proposes an energy-aware Marginal multi-attribute Federated Query mechanism (MFQ) in edge computing, where an energy-aware marginal query graph is established to facilitate multi-attribute query for marginal smart things contained in marginal edge networks. The experimental results show that MFQ performs better compared with the rivals in reducing network traffic and energy consumption for industrial IoT applications." @default.
- W3112454017 created "2020-12-21" @default.
- W3112454017 creator A5052234427 @default.
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- W3112454017 date "2020-01-01" @default.
- W3112454017 modified "2023-10-04" @default.
- W3112454017 title "Energy-Aware Marginal Multi-attribute Federated Query in IoT Networks" @default.
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- W3112454017 doi "https://doi.org/10.1007/978-3-030-64243-3_25" @default.
- W3112454017 hasPublicationYear "2020" @default.
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