Abstract: The invention provides a method and system for automatically managing a plurality of Wi-Fi access points using a network management cloud. In order to manage the plurality of Wi-Fi access points, a connection is established between one or more Wi-Fi access points and a client device using the network management cloud. The network management cloud, then, receives and analyzes information from the client device related to controlling one or more Wi-Fi access points. Thereafter, the network management cloud determines one or more operation settings for the one or more Wi-Fi access points based on the analyzed information. The one or more operation settings of the one or more Wi-Fi access points are then configured using the network management cloud. Thus, the one or more Wi-Fi access points are configured by the client device through the network management cloud.

Abstract: The invention provides a method and system for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN). In order to manage the plurality of Wi-Fi access points, measurement data corresponding to a plurality of network variables are collected from one or more Wi-Fi access points and one or more client devices using a cloud based network application. Once the measurement data are collected, one or more optimal settings of one or more decision variables are derived for the one or more Wi-Fi access points using one or more network variables from the plurality of network variables. The one or more optimal settings are derived by formulation of optimization problems through heuristic solutions and a machine learning based optimization using the one or more network variables.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. In an embodiment, the cloud platform identifies one or more target Wi-Fi access points and transmits an SSID-password tuple associated with the client device to the one or more target Wi-Fi access points. The one or more target Wi-Fi access points, then, broadcast an SSID of the client device and upon detecting the broadcast, the client device selects a target Wi-Fi access point and transmits a message with a pre-stored SSID-password tuple to the target Wi-Fi access point. Thereafter, the target Wi-Fi access point authorizes the client device to access the target Wi-Fi access point based on a comparison of the pre-stored SSID-password tuple and the SSID-password tuple received from the cloud platform.

Abstract: The invention provides a method and system for automatically managing a plurality of Wi-Fi access points using a network management cloud. In order to manage the plurality of Wi-Fi access points, a connection is established between one or more Wi-Fi access points and a client device using the network management cloud. The network management cloud, then, receives and analyzes information from the client device related to controlling one or more Wi-Fi access points. Thereafter, the network management cloud determines one or more operation settings for the one or more Wi-Fi access points based on the analyzed information. The one or more operation settings of the one or more Wi-Fi access points are then configured using the network management cloud. Thus, the one or more Wi-Fi access points are configured by the client device through the network management cloud.

Abstract: The invention provides a method and system for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN). In order to manage the plurality of Wi-Fi access points, measurement data corresponding to a plurality of network variables are collected from one or more Wi-Fi access points and one or more client devices using a cloud based network application. Once the measurement data are collected, one or more optimal settings of one or more decision variables are derived for the one or more Wi-Fi access points using one or more network variables from the plurality of network variables. The one or more optimal settings are derived by formulation of optimization problems through heuristic solutions and a machine learning based optimization using the one or more network variables.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. In an embodiment, the cloud platform identifies one or more target Wi-Fi access points and transmits an SSID-password tuple associated with the client device to the one or more target Wi-Fi access points. The one or more target Wi-Fi access points, then, broadcast an SSID of the client device and upon detecting the broadcast, the client device selects a target Wi-Fi access point and transmits a message with a pre-stored SSID-password tuple to the target Wi-Fi access point. Thereafter, the target Wi-Fi access point authorizes the client device to access the target Wi-Fi access point based on a comparison of the pre-stored SSID-password tuple and the SSID-password tuple received from the cloud platform.

Abstract: The invention provides a method and system for tracking a position of one or more Wi-Fi devices of a plurality of Wi-Fi devices. For tracking the position of the one or more Wi-Fi devices, a Triggering Router triggers the one or more Wi-Fi devices to transmit one of a broadcast probe and a directed probe through broadcasting hidden SSID networks and common SSIDs that increase a probing tendency of the one or more Wi-Fi devices. The plurality of Wi-Fi sniffers, then, collect measurement data associated with the one or more Wi-Fi devices in response to detecting the broadcast probe transmission and the directed probe transmission. Thereafter, the position of the one or more Wi-Fi devices is estimated using an adaptive machine learning model based on an indoor model whose parameters are tuned based on radio frequency (RF) measurements from the plurality of Wi-Fi devices and the measurement data.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. One or more cellular devices and one or more non-Subscriber Identity Module (non-SIM) devices of a user are registered at the cloud platform. The one or more non-SIM devices are then associated to the one or more cellular devices. Further, each Wi-Fi access point of the plurality of Wi-Fi access points is also registered at the cloud platform. A location of the client device is identified and one or more Wi-Fi access points that are closest to the client device is identified. The one or more Wi-Fi access points then authorize the client device to access the one or more Wi-Fi access points based on the information provided by the cloud platform.

Abstract: The invention provides a method and system for tracking a position of one or more Wi-Fi devices of a plurality of Wi-Fi devices. For tracking the position of the one or more Wi-Fi devices, a Triggering Router triggers the one or more Wi-Fi devices to transmit one of a broadcast probe and a directed probe through broadcasting hidden SSID networks and common SSIDs that increase a probing tendency of the one or more Wi-Fi devices. The plurality of Wi-Fi sniffers, then, collect measurement data associated with the one or more Wi-Fi devices in response to detecting the broadcast probe transmission and the directed probe transmission. Thereafter, the position of the one or more Wi-Fi devices is estimated using an adaptive machine learning model based on an indoor model whose parameters are tuned based on radio frequency (RF) measurements from the plurality of Wi-Fi devices and the measurement data.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. One or more cellular devices and one or more non-Subscriber Identity Module (non-SIM) devices of a user are registered at the cloud platform. The one or more non-SIM devices are then associated to the one or more cellular devices. Further, each Wi-Fi access point of the plurality of Wi-Fi access points is also registered at the cloud platform. A location of the client device is identified and one or more Wi-Fi access points that are closest to the client device is identified. The one or more Wi-Fi access points then authorize the client device to access the one or more Wi-Fi access points based on the information provided by the cloud platform.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. To start with, the plurality of client devices and the plurality of Wi-Fi access points are registered with the cloud platform. Subsequently, the client device transmits a network demand request to one or more target Wi-Fi access points. The one or more target Wi-Fi access points receive account details containing pre-registered credentials associated with the client device from the cloud platform. Upon receiving the account details, the one or more target Wi-Fi access points authorize the client device and broadcast a personalized SSID. The client device uses the personalized SSID to access a Wi-Fi access point of the one or more target Wi-Fi access points using the pre-registered credentials.

Abstract: The invention provides a method and system for establishing a connection between a client device of a plurality of client devices and a Wi-Fi access point of a plurality of Wi-Fi access points using a cloud platform. To start with, the plurality of client devices and the plurality of Wi-Fi access points are registered with the cloud platform. Subsequently, the client device transmits a network demand request to one or more target Wi-Fi access points. The one or more target Wi-Fi access points receive account details containing pre-registered credentials associated with the client device from the cloud platform. Upon receiving the account details, the one or more target Wi-Fi access points authorize the client device and broadcast a personalized SSID. The client device uses the personalized SSID to access a Wi-Fi access point of the one or more target Wi-Fi access points using the pre-registered credentials.

Abstract: The invention provides a method and system for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN). The measurement data corresponding to a plurality of network variables are collected from one or more Wi-Fi access points and one or more client devices. Once the measurement data are collected, optimal operating channels and optimal transmit power for the one or more Wi-Fi access points are derived based on one or more network variables, backhaul limits corresponding to the one or more Wi-Fi access points and a download behavior of the one or more client devices using a real-time optimization. The real-time optimization includes deriving the optimal settings through heuristic solutions of an optimization problem formulated as a Mixed Integer Nonlinear Programming (MINLP) and a machine learning based optimization.

Abstract: The invention provides a method and system for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN). The measurement data corresponding to a plurality of network variables are collected from one or more Wi-Fi access points and one or more client devices. Once the measurement data are collected, optimal operating channels and optimal transmit power for the one or more Wi-Fi access points are derived based on one or more network variables, backhaul limits corresponding to the one or more Wi-Fi access points and a download behavior of the one or more client devices using a real-time optimization. The real-time optimization includes deriving the optimal settings through heuristic solutions of an optimization problem formulated as a Mixed Integer Nonlinear Programming (MINLP) and a machine learning based optimization.