Abstract

In support of the efficient operation of Wi-Fi access points (APs), techniques are presented herein that support a Dynamic Hierarchical AP Activation (DHAPA) system that combines artificial intelligence (AI)-driven capabilities, graph-based networking approaches, and dynamic power adjustment means. Aspects of the techniques employ a graph-based structure to represent the spatial and functional relationships among APs to provide a logical means to manage their power states, where graph nodes represent APs and graph edges represent AP interactions, relationships, or proximities.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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