AI (artificial intelligence) driven dynamic self-remediation for wireless networks by dispatching robots
AssigneeFortinet, Inc.
InventorSekhar Sumanth Gorajala Chandra
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AssigneeFortinet, Inc.
InventorSekhar Sumanth Gorajala Chandra
Estimating the term…
An anomalous behavior is detected at an AI server device based on data communications managed by the wireless controller. In response to the detected behavior, a robot module can be deployed to a location of the anomalous behavior for testing. Once at the location, logs can be collected from testing or troubleshooting at the location and involving a remote access point proximate to the anomalous behavior (e.g., sniff and capture at specific channel or multiple channels in real-time). Solutions are generated from AI analysis concerning the anomalous behavior and priority level, including at least one automatically implemented solution to self-remediate the wireless network.
A network device communicatively coupled to a data communication network with a plurality of stations, for self-remediation of a wireless network using AI (artificial intelligence), the network device comprising:
In a network device on a data communication network with a plurality of access points, a method for self-remediation of a wireless network using AI (artificial intelligence), the method comprising the steps of:
In a non-transitory computer-readable media in a network device communicatively coupled to a data communication network with a plurality of stations, a method for self-remediation of a wireless network using AI (artificial intelligence), the method comprising the steps of:
Dependencies are inferred from the claim text.