Indoor positioning-oriented fog network realization system and method
An indoor positioning and network implementation technology, applied in the field of communication, can solve the problems of not implementing application experiment scenarios, not combining applications, not providing solutions and implementation methods, etc., to achieve optimal computing resource utilization, reduce network delay, The effect of reducing application costs
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Embodiment 1
[0033] Although the concept of fog network and SDN technology has been proposed, the specific implementation system and method have not been given, nor have they been deployed in actual scenarios. At the same time, in the traditional WiFi-based indoor positioning method, the upload, fusion, calculation and return of positioning data all need to be connected to the remote cloud computing center, which will cause a large network delay. At the same time, in the WiFi-based indoor positioning method, the positioning data sources are distributed in multiple locations on the edge of the network and require real-time response, and the centralized processing of the cloud computing center cannot meet its requirements. In addition, the pay-as-you-go billing mode of the cloud computing center increases the application cost of indoor positioning.
[0034] In view of the above-mentioned status quo, the present invention proposes a fog network implementation system for indoor positioning thr...
Embodiment 2
[0045] Composition of the indoor positioning-oriented fog network implementation system Simultaneous embodiment 1, the SDN controller obtains and uniformly deploys the global information of the fog network in real time, and the specific functional modules include a resource perception module, a path selection module, and a fog node computing resource management module:
[0046] Among them, the resource perception module uses the southbound interface of the SDN controller to connect to the OpenVSwitch in the fog node, meets the OpenFlow protocol, and obtains information about network resources, computing resources and storage resources in the fog network nodes.
[0047] In the path selection module, the SDN controller calculates the optimal path according to the bandwidth resources, and issues the flow table to match the routing and forwarding rules.
[0048] In the fog node computing resource management module, the SDN controller obtains information based on resource perception...
Embodiment 3
[0051] The composition of the fog network implementation system for indoor positioning is the same as that in Embodiment 1-2. The fog network includes a positioning data collection module, a positioning data fusion module, a positioning data calculation module and a positioning data uploading module:
[0052] Among them, the positioning data acquisition module is connected to the bottom positioning access network of the fog node, and is used to complete the process of receiving the positioning data detection frame.
[0053] The positioning data fusion module is a process in which fog nodes filter the collected positioning data and only keep the RSSI value and MAC address of the positioning data.
[0054] The positioning data calculation module is used to complete the process of positioning data RSSI value Gaussian filter mean value processing, MK model processing, maximum likelihood estimation and centroid algorithm to solve positioning coordinates, etc.
[0055] In the positi...
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