553 results about "Mesh networking" patented technology

A method for secure onboarding to a closed mesh network in which a camera-equipped device scans a QR code embedded in a durable physical carrier (e.g., adhesive bandages, photographs, ID cards) to extract an access credential, configuration profile, or secure URL that automatically configures the device for network access, authenticates the device to the mesh without manual credential entry or transmission of plaintext credentials over insecure channels, and establishes end-to-end encrypted communications between network nodes; the method supports cryptographically random, single-use or time-limited credentials with periodic refresh to prevent replay, encoding of VPN / WireGuard or proprietary configuration profiles, substantially real-time onboarding (e.g., under five seconds), optional multi-factor verification (biometric or PIN), immediate initiation of secure messaging, voice / video or data sessions upon onboarding, audit logging for compliance and revocation based on detected unauthorized activity, and covert or overt embedding of QR codes in environment-resistant carriers for emergency, disaster response, first responder, or covert deployment, with the QR code rendered unreadable or deactivated after successful onboarding to prevent credential reuse.

The present disclosure provides a system for decentralized handling of application programming interface (API) calls. The system comprises a peer-to-peer network including a plurality of nodes, each node being a user device, a relayer, or a resolver. Each node includes at least one hardware processor and at least one non-transitory memory storing instructions. When executed, the instructions cause the node to receive an encrypted API request from a user device, forward the encrypted API request to at least one resolver node, process the API request to generate an API response, and transmit the API response back to the user device. The peer-to-peer network may comprise a mesh network and utilize a Remote Procedure Call (RPC) architectural style. The system enables decentralized management of API calls without relying on centralized servers.

A decentralized mesh-network platform provides real-time governance, supervision, and audit of large-language-model persona agents in regulated environments such as healthcare. Each computing node hosts processor circuitry, memory, a network interface, and an integrated suite comprising a User-Prompt Interface, Metadata Filter & Enrichment Engine, Persona Role Constructor, Policy Constraint Engine, gating logic module, Supervisor Review Interface, Session Memory Governance Module, Audit Logging Subsystem, cryptographically linked audit ledger, and Fallback Control Module. Devices communicate over a peer-to-peer channel, exchange role-switch tokens, and merge local ledgers into a composite audit graph when connectivity returns. The architecture supports continuous compliance and resilient operation across institutional boundaries, network partitions, and device failures, enabling conversational interaction with heterogeneous medical data while maintaining rigorous credential lineage, policy oversight, and forensic traceability.

A system includes a network node device operable to dynamically connect to different networks and different types of networks based on factors including latency and noise levels in each network. The system allows for low power transmission of data packets as well as obfuscation of transferred data packets by splitting packets for a single file across multiple nodes in a mesh network, where the mesh network then recombines the signals to externally convey the data. The system leverages the use of LoRa communication across one or more networks to communicate critical data, such as location data for particular devices, at long ranges with minimized risk of detection.

The present disclosure provides a system for decentralized handling of application programming interface (API) calls. The system comprises a peer-to-peer network including a plurality of nodes, each node being a user device, a relayer, or a resolver. Each node includes at least one hardware processor and at least one non-transitory memory storing instructions. When executed, the instructions cause the node to receive an encrypted API request from a user device, forward the encrypted API request to at least one resolver node, process the API request to generate an API response, and transmit the API response back to the user device. The peer-to-peer network may comprise a mesh network and utilize a Remote Procedure Call (RPC) architectural style. The system enables decentralized management of API calls without relying on centralized servers.

Embodiments of the disclosure relate to a mesh network. The mesh network includes a plurality of drones and a border router. The plurality of drones is configured to communicate with each other and with the border router over a first protocol. The first protocol uses IPV6 mesh connectivity at a first bandwidth. At least one drone of the plurality of drones operates as a router, and at least one drone of the plurality of drones operates as an end device. The router is configured to communicate with the border router and with the end device, and the end device is configured to communicate only with the router. The border router can be configured to communicate with an external network over a second protocol using a second bandwidth, and the second bandwidth can be greater than the first bandwidth.

This disclosure provides methods, devices and systems for wireless positioning. An example method includes determining a first received signal strength indicator (RSSI) signature, the first RSSI signature including a respective RSSI associated with each access point (AP) of a first plurality of APs, where the first plurality of APs form at least a portion of a mesh network of APs, comparing the first RSSI signature with each reference RSSI signature of a first plurality of reference RSSI signatures, each reference RSSI signature of the first plurality of reference RSSI signatures including a respective RSSI associated with each AP of the first plurality of APs, and identifying a first position of the wireless STA based on the comparing of the first RSSI signature.

The invention discloses an unmanned aerial vehicle real-time data analysis model construction method based on a block chain, and relates to the technical field of unmanned aerial vehicle communication, and the method comprises the steps: an unmanned aerial vehicle builds an ad-hoc mesh network through a 5G NR-U frequency band, a ground control station carries out the validity verification, generates an initial network topological graph, builds a private block chain network based on a Hyperledger Fabric framework, and generates a creation block; collecting video stream data, recording attitude data by an inertial measurement unit, and generating a compressed data packet; the unmanned aerial vehicle scans a fuselage metasurface pattern through a terahertz emitter to obtain a scattering feature matrix, generates a composite hash value and adds the composite hash value to the compressed data packet to form a to-be-transmitted data packet; and measuring the refractive index structure constant of the current area to obtain the turbulence intensity grade. According to the method, physical fingerprint features are obtained through terahertz scanning of a fuselage metasurface, an anti-interference hash value is generated in combination with space-time parameters, hardware-level identity authentication is achieved, and the risk of unmanned aerial vehicle identity cloning is fundamentally eradicated.

The invention discloses a satellite flash MESH networking equipment network access configuration method, equipment, system and medium, and the method comprises the steps: scanning, receiving, analyzing and processing data information sent by sub-equipment, then rapidly judging whether the data information is network access request information, and when the data information sent by the sub-equipment is the network access request information, sending the network access request information to the sub-equipment; the network access process of the sub-device is executed, and the simple, convenient and efficient network access process of the sub-device is realized; the technical problems of long equipment network access time and low equipment network access efficiency due to the fact that multiple steps of equipment discovery, authentication, configuration and the like need to be performed during equipment network access in MESH networking in related technologies are solved.

The present disclosure provides a system for decentralized handling of application programming interface (API) calls. The system comprises a peer-to-peer network including a plurality of nodes, each node being a user device, a relayer, or a resolver. Each node includes at least one hardware processor and at least one non-transitory memory storing instructions. When executed, the instructions cause the node to receive an encrypted API request from a user device, forward the encrypted API request to at least one resolver node, process the API request to generate an API response, and transmit the API response back to the user device. The peer-to-peer network may comprise a mesh network and utilize a Remote Procedure Call (RPC) architectural style. The system enables decentralized management of API calls without relying on centralized servers.

A package storage device with a monitoring and security system that utilizes motion and sensors to provide secure package delivery and validation. Also having the ability to automate the delivery process with secure communications and encrypted codes to create a hands-free delivery system. This storage device has the capability of capturing photos and metadata to enhance security and forensics. It can be connected to a cloud-based system that enables ease of interface and security connectivity in a mesh format.

A system is provided for a self organizing and self correcting autonomic peer to peer network for processing resource transfers. In this regard, the system may restructure the P2P mesh network based on the changes in participating devices within the P2P network, such as when the P2P network is divided into clusters or when clusters merge together. In such embodiments, each cluster may comprise a designated primary device and / or a hub device for processing incoming network requests. The primary device may query the other devices within the cluster for updates and broadcast the updates to each of the other devices within the cluster. The updates may then in turn be stored on each of the devices within the cluster within the distributed register, where the various network requests from the devices may be processed by the hub device of the cluster.

The present invention discloses an intelligent lighting control system for a parking lot, which belongs to the field of intelligent lighting technology and includes: an acquisition and processing module for collecting real-time data of the parking lot environment and performing preprocessing; an automatic control module for intelligently controlling parking lot lighting, which enables local sensing and linkage between AI lamps through Bluetooth Mesh networking technology, so that the group can respond synchronously; a remote control module for adding an intelligent gateway to access the Internet to remotely control the parking lot. The present invention solves the existing problems of being unable to automatically adjust the brightness and lighting range of parking lot lighting according to factors such as ambient light and human activities, and being unable to remotely control the parking lot, resulting in low parking lot management efficiency and energy conservation and environmental protection levels. The present invention can automatically adjust the brightness and lighting range of parking lot lighting according to factors such as ambient light and human activities, achieve a two-way balance between energy conservation and user experience, and can remotely control the parking lot, which can improve management efficiency and energy conservation and environmental protection levels.

A Quantum Transceiver Antenna (QTA) is described which is a scalable, thin-film, bi-synchronous, multifrequency resonance antenna, made up of a layered matrix of antenna pixels of uniform size and shape, with voids and nulls in its pattern. On the QTA, electromagnetic signals gain coherence as toroidal geometries, that function as tunable, electromagnetic lenses, to simultaneously resolve and concentrate gain in the full spectrum of radio frequency signals. QTA transceives both particles and waves, and operates using quantum principles, including quantum tunneling whereby solid materials appear invisible, enabling non-line of sight communications, imaging, detection, Q-Tricity, immunity to multipath interference, and ground planes. One QTA replaces disparate antennas in a cell phone / electronic device and operates wirelessly with space-based platforms and terrestrial networks, plug and play, with low impedance, less power, at magnitudes of gain only possible using quantum principles. QTA is frequency dynamic providing mesh networks, IOT, Edge, AI connectivity, and emergency response interoperability solutions.

A virtual fiber communication system includes a central cloud server that obtains telemetry information from network nodes of wireless backhaul mesh network. The telemetry information includes spectrum occupancy information and UE positioning information. The central cloud server obtains, via blockchain-based spectrum broker nodes, frequency spectrum availability metadata and custom-defined spectrum access parameters of spectrum owner nodes. The central cloud server detects spectrum availability variations across network nodes and determines different routing paths for the first type of UEs designated as premium users. Based on the detected spectrum availability variations across the network nodes and the determined different routing paths, control signals are generated and communicated to the network nodes to assign data streams onto rented or leased spectrum frequencies. One of the determined routing paths is selected for delivery of the data streams to the first type of UEs to meet the custom-defined spectrum access parameters.

Systems, methods, and articles for a portable power case are disclosed. The portable power case is comprised of at least one battery and at least one PCB. The portable power case is operable to supply power to a transceiver. The portable power case is operable to be charged using a DC power source (e.g., solar panel, wind turbine, water turbine). A plurality of portable power cases, DC power sources, and transceivers are operable to form a mesh network.

The invention discloses a primary and secondary unmanned aerial vehicle cluster scheduling method and system, and relates to the technical field of unmanned aerial vehicle cluster cooperative control. The invention aims to solve the problems of single control architecture, unreasonable resource allocation, unstable coordination and high missing rate of the existing master-slave system. The core of the technical scheme is to construct a three-layer framework of'an air mother machine-two types of son machines-ground terminals', schedule AI crossing machines / high-speed crossing machines according to a preset multiple of a target number, dynamically distribute tasks in combination with a target priority, and support switching between'single-rack accurate throwing 'and'multi-rack batch launching'; cooperative interaction between the master machine and the slave machine is realized through MESH networking and magnetic attraction interface double links, and a whole-process closed loop of target detection, instruction issuing, state returning and missing network target blocking is formed. The task coverage efficiency is improved by more than two times, the response delay is smaller than or equal to 100 ms, the missed interception rate is smaller than or equal to 5%, the resource waste rate is reduced by 60%, and the method can be widely applied to scenes such as defense interception and safety prevention and control and meets diversified task requirements.

Various embodiments include methods for rotating a control node role among devices in a control cluster of a wireless mesh network. Methods may include assuming the control node role by a first device based on a control node assumption timing in a schedule, and transmitting periodic messages to support the wireless mesh network. Methods may further include using the schedule to identify a control node role end timing and a third device in the control cluster that will assume the control node role, transmitting the periodic messages while monitoring for an extended advertisement from the third device after the control node role end timing until the extended advertisement from the third device is received, and assuming a passive node role upon receiving the extended advertisement from the third device or continuing the control node role when no extended advertisement is received from the third device.

A communications node includes an apparel item in the form of a backpack attachment that includes a panel, first and second arms extending therefrom. An antenna element and A / V hub may be affixed to an arm. The attachment may include a communications device and battery. A control circuit may be communicatively coupled to the antenna element, the A / V hub, the communications device, and the battery. The A / V hub may demountably and communicatively couple to an audio / video source. The control circuit may establish a mesh network with computing devices. The antenna element may include a graphene polymer conductive composition. The graphene may form a three-dimensional percolated network within the polymer matrix. The apparel item may include a multilayered material that reflect RF radiation generated by the antenna element away from the apparel item. The layer may include a conductive material. The layer may include a foam.

Apparatuses, methods, and systems for client steering in mesh networks are disclosed. A first access point (AP) of a network sends a quality of service (QoS) data packet to a client device. A received signal strength indication (RSSI) of the client device is captured using the QoS data packet. A distance between the AP and client device is determined using a Wi-Fi round trip time. A time and day of week is determined. Using machine learning, a second AP is identified for steering the client device to, based on the RSSI, the distance, and the time and day of week. A machine learning model is trained to steer each client device to a respective AP for increasing a throughput of the network based on features extracted from client behavior of the client devices. The second AP is connected to the client device.

This invention provides an adaptive network management system for mesh networks, utilizing advanced wake-up mechanisms that include AI-driven predictive algorithms, adaptive transmission protocols, multi-layer verification processes, and device-specific wake-up profiles. The system is designed to improve network efficiency, reduce latency, and enhance energy management by selectively waking up devices based on real-time conditions, predefined schedules, or a combination of both. This system is applicable to a variety of fields, including military communications, industrial automation, and smart grids, where reliable and efficient network management is critical.

A radio device is provided that includes a housing having a lower surface, the housing including a radio frequency integrated circuit (RFIC). The radio device includes a plurality of millimeter wave (mmW) radios in electronic communication with the processor via the RFIC, the plurality of mmW radios detachably positioned at different locations on the housing of the radio device, each mmW radio of the plurality of mmW radios configured to establish a mmW connection with one or more nodes in a mesh network. The radio device includes a connection having a fastener positioned on the lower surface of the housing of the radio device. The radio device is removably coupled with a pole via the connection, the pole housing a second radio device including a cellular radio, the second radio device connects with the processor, via a connection to the RFIC included in the housing of the radio device.

A mm wave radio communication mesh network comprises a wireless node apparatus comprising a plurality of wireless modems (103) and a configuration controller (307) arranged to perform a node configuration arranged to configure the wireless modems (103) as access point wireless modems or non-access point wireless modems. A detector (309) detects if a beam direction for a first wireless modem is proximal to an extreme of a beam direction interval supported by the first wireless modem. If so, a configuration controller (307) proceeds to perform a node configuration to configure a second wireless modem as an access point wireless modem or a non-access point wireless modem depending on the configuration of the first wireless modem. This may allow the second wireless modem to be ready to support the communication if the link with the first wireless modem fails. The approach may improve the formation of an efficient mesh network.

An electronic device and a method is provided for external network connectivity based on access point handover through mesh network. A first access point associated with a first wireless network is detected within a first predefined radius. A first connection with the first wireless network is established, based on the first access point being within the first predefined radius. It is determined whether an external network is accessible, based on the established first connection. Detection of a second access point associated with a second wireless network within a second predefined radius from the first access point is controlled. It is determined whether the external network is accessible from the second access point, through the mesh network. The establishment of a second connection between the first access point and the second access point is controlled, based on the external network being accessible from the second access point, through the mesh network.

The invention relates to the technical field of electric power material detection, and discloses an intelligent control method and system for a mobile intelligent concrete pole detection platform, and the method comprises the following steps: building a pole defect data set and a detection program data set, the elements in the detection program data sets are detection programs corresponding to defect types, and the elements in each defect data set correspond to the elements in one detection program data set; acquiring defect data of the current electric pole; the wireless sensor module comprises a plurality of Bluetooth terminals, the Bluetooth terminals are in Mesh networking, each Bluetooth terminal independently completes local detection and summarizes the data to the master control module, the Bluetooth Mesh networking terminals summarize the local detection data to the master control module, and the Bluetooth Mesh networking terminals call the corresponding detection program according to the defect data of the current electric pole. And a complete electric pole defect distribution diagram is generated, so that a worker can clearly and quickly observe the defects of the electric pole.

A wireless environment parameter monitoring node system based on Bluetooth MESH networking belongs to the technical field of wireless self-organizing sensor network structures, and comprises a laboratory environment monitoring network formed by a plurality of nodes through a Bluetooth MESH self-organizing network; each node is composed of a digital environment parameter sensor module, an electronic paper display module, a lithium battery module, a power management module, a Bluetooth MESH communication module and a master control module, and the master control module is in bidirectional communication connection with the digital environment parameter sensor module, the electronic paper display module, the power management module and the Bluetooth MESH communication module. The lithium battery module is bidirectionally connected with the power management module, and the power management module is connected with the digital environment parameter sensor module. The laboratory environment monitoring system has the characteristics of low cost, small size, low power consumption and the like, can complete large-area multi-laboratory environment monitoring tasks through multi-node networking, is an effective supplement for existing manual reading and single-machine environment monitoring equipment, and conforms to digital scene application of laboratory management system authentication.

A system and method to utilize modular device and mesh network to send emergency alert that could be delivered to the cloud and sent to the user even though the cloud itself is not reachable directly from the device are provided. The disclosure uses modular sensors, internet of things (IoT) application and cloud server, and an emergency protocol that may enable devices within the mesh network to find the best route to cloud and produce reliable emergency alert even though the connection between device and cloud is unreliable.

A system and method are disclosed for transforming at least one foundation artificial intelligence (AI) model into one or more embedded micro-models configured for deployment in constrained or hybrid computing environments. Each micro-model is packaged within a structured container that includes inference logic, metadata, telemetry thresholds, and fallback logic. A runtime engine monitors execution conditions and adaptively switches among inference logics or activates fallback behavior based on telemetry signals such as CPU load, memory usage, latency, or confidence score. The system supports operation on OS-less or minimal-runtime platforms and enables distributed deployment across mesh networks using multiple communication protocols. Micro-models may coordinate autonomously or under supervisory guidance and are executed within multi-dimensional or non-topological configurations. The invention enables scalable, resilient AI inference in embedded systems with limited resources.

In one aspect, a device management platform is provided. The device management platform includes at least one gaming device coupled to a host system and a plurality of modular devices in wireless communication with the host system and forming a wireless mesh network therebetween. At least one of the plurality of modular devices is coupled to the gaming device and configured to determine, based on information retrieved via the wireless network, a location of the gaming device, and generate a profile based on a device configuration of the gaming device and the location of the gaming device, where the profile defines a role of the gaming device.

The invention provides a 5G and Mesh networking-based power consumption information acquisition method, system and terminal, and the method is applied to the power consumption information acquisition system, and comprises the steps: enabling an intelligent acquisition terminal to automatically scan through a wireless Mesh module after the intelligent acquisition terminal is powered on so as to access a current optimal target Mesh relay node, obtaining to-be-transmitted power consumption data, and transmitting the to-be-transmitted power consumption data to the target Mesh relay node according to an optimal path algorithm; calculating to obtain an optimal path to the 5G-Mesh hybrid gateway, wherein the optimal path comprises at least one Mesh relay node including the target relay node; and according to the optimal path, sending the to-be-transmitted power consumption data to a next-hop Mesh relay node. The problem of signal blind areas in electricity utilization information collection is effectively solved, the communication reliability is improved, and meanwhile the system cost and the power consumption are reduced.