Amazon Technologies, Inc.

Alexandra Calkins Katague

Mete Rodoper

Yogesh Reddy Kondareddy

Nikhil Deshpande

Reid Andrew OBoyle

Kyoungchae Oh

Technologies directed to dynamic frequency selection (DFS) avoidance are described. One method stores a timestamp and a first amount of time operating on a channel for each historical radar event detected in a wireless local area network. The method determines a first score using a first weighting factor based on the first amount of time and a second weighting factor based on a second amount of time since the respective historical radar event. The method determines a second score for a first DFS channel by summing the first score for each historical radar event that occurred on the first DFS channel. The method determines a third score for a second DFS channel by summing scores of events occurring on the second DFS channel. The method selects the first DFS channel based on at least the second score and the third score for sending second data to a second device.

Dynamic frequency selection (DFS) avoidance

A method and system to manage connectivity of a client device in a mesh network including one or more network devices. A first network device determines a first client link cost metric associated with a first connection between the first network device and the client device. The first network device determines a first mesh link cost metric associated with a second connection between the first network device and a destination device. A first total connection cost metric is determined based on the first client link cost metric and the first mesh link cost metric. The first network device identifies a set of total connection cost metrics associated with the one or more network devices and destination device of the network. The first network device executes a connection decision in response to a comparison of the set of total connection cost metrics.

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San Francisco, CA, United States of America

Alexandra Calkins Katague