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5 results about "Hybrid wireless network" patented technology

A hybrid wireless network is the combination of a mobile ad hoc network (MANET) and an infrastructured network. Every local ad hoc network partition can be augmented with uplinks to a backbone network or more general the Internet, via technologies like GPRS, UMTS, or Wi-Fi.

Steering Wi-Fi 6E wireless clients to Wi-Fi 6E access points on hybrid wireless networks

ActiveUS12574836B2Assess restrictionHybrid wireless networkClient-side
A probe request sent from a Wi-Fi 6E wireless client to the legacy access point is received by a Wi-Fi controller. To process, a Wi-Fi 6E access point for connection from the plurality of access points, proximate to the Wi-Fi 6E wireless client is selected for service. Reduced Neighbor Report (RNR) RNR information is collected about the Wi-Fi 6E access point by the access point the Wi-Fi 6E wireless client. The RNR information is transmitted to the legacy access point, wherein the legacy access point forwards the RNR information to the Wi-Fi 6E wireless client as part of a probe response sent responsive to the probe request. A subsequent probe request is detected, sent from the Wi-Fi 6E wireless client to initiate association with the Wi-Fi 6E access point using the RNR information.
Owner:FORTINET INC

Bridge distributed wireless intelligent networking and sensing system

This invention relates to the field of bridge monitoring and discloses a distributed wireless intelligent network sensing system for bridges, comprising: a sensing node module for distributed acquisition of multimodal raw signals at predetermined locations on the bridge; an edge aggregation module for receiving the damage feature data, constructing evidence sources by combining multi-source correlation data, and outputting hierarchical decision results; a cloud decision module for classifying the hierarchical decision results according to working conditions, generating adaptive early warning thresholds based on probability correction and dynamic threshold optimization, and executing hierarchical early warnings; and a wireless network transmission module for data interaction through a hybrid wireless network. By refining damage feature data through signal decomposition and interference removal, effectively filtering interference data through multi-source evidence fusion and hierarchical decision-making, and generating adaptive early warning thresholds adapted to different working conditions through working condition classification, probability correction, and dynamic threshold optimization, accurate identification and reliable early warning of bridge structural damage are achieved.
Owner:WUHAN HANYANG MUNICIPAL CONSTR GRP CO LTD +2

Reliable and security-aware communication in hybrid wireless networks

ActiveCN115669012BHybrid wireless networkEngineering
The present invention relates to a wireless system 100 running multiple applications simultaneously, for example for both lighting control and asset tracking. Nodes 200 included in the wireless system 100 are capable of operating in multiple communication modes, where each communication mode is according to a different communication technology. On the other hand, considering that some applications can have higher security requirements than others, one application can have a preferred communication mode that is different from another application. In view of this, a mode switching method is disclosed to help the nodes 200 to serve multiple concurrent applications in an efficient manner.
Owner:SIGNIFY HOLDING BV

High and low speed hybrid wireless network architecture based on WIA-PA and WIA-FA industrial network standards

PendingCN121547783AWireless communicationIndustrial monitoringHybrid wireless network
The invention discloses a high and low speed hybrid wireless network architecture based on WIA-PA and WIA-FA industrial network standards, and belongs to the technical field of industrial wireless networks. Aiming at the problems of waste of single network standard resources or insufficient transmission performance and complex management of multiple independent networks in the existing industrial field, the architecture comprises a WIA-PA low-speed network subsystem, a WIA-FA high-speed network subsystem and an integrated gateway, the WIA-PA subsystem collects and transmits low-speed low-data-volume sensing data, the WIA-FA subsystem collects and transmits high-speed large-data-volume sensing data, and the integrated gateway is used for collecting and transmitting high-speed large-data-volume sensing data. And the integrated gateway realizes protocol conversion, data fusion and network unified management. According to the invention, the utilization rate of network resources is improved through targeted transmission of double sub-systems; the integrated gateway solves the problem of multi-network collaboration, reduces the deployment and maintenance cost, has industrial environment adaptability, and can be widely applied to various industrial monitoring scenes and the like.
Owner:SHENYANG ZHONGKE AOWEI SCI & TECH CO LTD

HWMP routing protocol optimization method based on deep reinforcement learning

The invention discloses a hybrid wireless Mesh network routing optimization method based on deep reinforcement learning, and belongs to the technical field of wireless communication networks. According to the method, the deep Q network and the HWMP routing protocol are deeply fused, and intelligent path selection and dynamic optimization are realized. The method comprises the following specific implementation steps: constructing a routing decision model based on a state-action pair, and designing a multi-dimensional reward function to balance and optimize a plurality of network performance indexes; loading a pre-training model or carrying out initial model training; online learning and parameter updating are carried out in the network operation process; each node maintains a neighbor routing table through a neighbor discovery mechanism, and selects an optimal next hop by using a local DQN model according to a current network state by adopting a distributed intelligent decision mode; updating DQN model parameters after successful data transmission; and a failure fallback mechanism is established, and negative reward punishment is applied to a path generating a loop or transmission failure, so that the algorithm is guided to avoid a low-quality path, and the overall performance of the network is improved.
Owner:QINGDAO UNIV OF SCI & TECH