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An energy‐aware approach for resource managing in the fog‐based Internet of Things using a hybrid algorithm
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Hybrid PSOJAYA algorithm for multi-objective workflow applications in heterogeneous fog-cloud computing environment
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Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey
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inferred← citeshttps://doi.org/10.1016/j.swevo.2021.100937openalex-snapshot
Optimization techniques and applications in fog computing: An exhaustive survey
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Heuristics and Meta-Heuristics based Algorithms for Resource Optimization in Fog Computing Environment: A Comparative Study
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A Privacy-Aware Approach for Managing the Energy of Cloud-Based IoT Resources Using an Improved Optimization Algorithm
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Hybrid optimized data aggregation for fog computing devices in internet of things
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A Fire Evacuation and Control System in Smart Buildings Based on the Internet of Things and a Hybrid Intelligent Algorithm
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