Aerohive Networks, Inc.

Extreme Networks, Inc.

Chris Scheers

Changming Liu

Matthew Stuart Gast

Huizhao Wang

Jingsong Fu

Haofeng Kou

Arun K Goel

William Hoppin

Joseph Fraher

Yufeng Wu

Junjie Ma

David Flynn

Wireless networking devices scan for available channels and gather data about the channels and the RF environment. Using this information, each wireless networking device determines a cost value for each available channel and a quality value for its overall RF neighborhood. Each wireless networking device select the channel with the best cost value as a candidate channel for use. The wireless networking devices may submit channel requests to the arbiter for approval. If two or more wireless networking devices are requesting the same channel, the arbiter assigns the channel to the wireless networking device with the worst RF neighborhood quality. The arbiter informs the wireless networking devices if their channel requests are approved. If a wireless networking device's channel request is not approved, the wireless networking device will rescan the remaining available channels to select a different candidate channel to be approved.

Distributed channel selection for wireless networks

A technique for deploying proximity beacons involves coupling proximity beacon transmitters and/or hubs to an enterprise network device. The coupling can be by way of physically connecting communication interfaces of the network device and the proximity beacon transmitter or hub. In some implementations, the communication interface can be implemented as a USB interface. In some implementations, the communication interface can be embedded within the network device, such that the communication interface can provide the physical connection in the form of an embedded or internal connection.

Deployment of proximity beacon drives

Techniques for managing IoT devices through multi-protocol infrastructure network devices are disclosed. A system utilizing such techniques can include a multi-protocol infrastructure network device and a WAN based IoT device management system and various network device based engines. A method utilizing such techniques can include management according to WAN based IoT device policies and LAN based IoT device policies.

IoT device management using multi-protocol infrastructure network devices

A proximity beacon signal transmitted by a network device-coupled proximity beacon transmitter is received at a network device. A RSSI reporting message is generated at the network device based on the proximity beacon signal. A position of the network device-coupled proximity beacon transmitter with respect to the network device is determined using the RSSI reporting message. A location of the network device within a region is determined using the RSSI reporting message and network device map data for the region. The location of the network device-coupled proximity beacon transmitter in the region is determined based on the position of the network device-coupled proximity beacon transmitter with respect to the network device and the location of the network device within the region.

Network device based proximity beacon locating

Management of a proximity beacon transmitter using a network device. Operational characteristics are generated for a proximity beacon transmitter coupled to a network device. The proximity beacon is configured through the network device. It is determined if the proximity beacon transmitter is operating according to the operational characteristics generated for the proximity beacon transmitter. The proximity beacon transmitter is reconfigured to operate according to the operational characteristics if it is determined that the proximity beacon transmitter is operating in nonconformity with the operational characteristics.

Proximity beacon management using a network device

Deployment of proximity beacon devices

Various implementations include systems and methods for generating a radio frequency floor plan. The systems and methods include receiving map data for a map image. A user is provided with functionalities for generating a trace outline in the map image. Floor dimensions are determined from the trace outline in the map image. A blank floor plan is generated using the floor dimensions and the map image. Access point position data can be received that signifies the position of placed access points. Access point type data can be received that signifies the type of access points that are positioned. The access point position data, the access point type data, and the floor plan or blank floor plan can be used to generate a RF floor plan.

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Palo Alto, CA, United States of America

Chris Scheers