207 results about "Wireless mesh network" patented technology

Various embodiments include methods for rotating control node roles between devices in a control cluster of a wireless mesh network. A method may include assuming, by a first device, a control node role based on a control node assumption timing in a schedule, and transmitting a periodic message to support the wireless mesh network. The method may also 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; after the control node role ends timing, sending the periodic message while monitoring an extended advertisement from the third device until the extended advertisement from the third device is received; and assuming a passive node role when receiving the extension announcement from the third device, or continuing the control node role when no extension announcement is received from the third device.

The invention relates to the technical field of LED induction lamps, in particular to an LED induction lamp intelligent control method and system based on wireless networking, and the method comprises the following steps: S1, enabling a plurality of LED induction lamp nodes to be interconnected through a wireless Mesh network mode of a multi-node, self-organizing and self-healing distributed communication architecture; s2, performing linkage detection by using PIR and a microwave radar, and identifying activity information in the environment; s3, after the effective activity is sensed, lighting triggering and adjusting operation is executed locally; s4, the trigger node broadcasts a linkage instruction to other nodes in the group, so that the plurality of LED induction lamps respond synchronously; s5, in the synchronous response process of the multiple LED lamps, the working mode is dynamically adjusted according to the environment and activity conditions; according to the LED induction lamp intelligent control method and system based on the TSCH self-organizing self-healing Mesh network, through PIR and microwave dual-technology fusion (time difference and temperature compensation is utilized) and RSSI + TOA dual-distance filtering, false alarms and cross-regional linkage are greatly reduced.

The invention discloses a combined harvester multi-cluster networking system and method based on a hierarchical Mesh architecture. The combined harvester multi-cluster networking system comprises an intelligent WI-SUN node module, a wireless Mesh network routing gateway, a bypass route, a repeater and a cloud server. And the intelligent WI-SUN node modules are deployed on each combine harvester. The intelligent WI-SUN node module is used for realizing a communication network in a cluster; and each combine harvester performs intra-cluster data transmission with the combine harvesters in the cluster through a built-in intelligent WI-SUN node module. And wireless Mesh communication between clusters is realized by the master node and the wireless Mesh network routing gateway of the clusters, and data aggregation is completed through a bypass route and is transmitted to a cloud server. Therefore, the combined harvester cluster based on the hierarchical Mesh architecture can realize a larger communication range, better penetration capability and anti-interference capability, is suitable for low-power design of large-scale equipment connection, and remarkably improves the real-time acquisition and transmission reliability of agricultural operation data.

The invention provides a wireless Mesh self-adaptive channel selection method and system, and relates to the technical field of channel selection and optimizing.The wireless Mesh self-adaptive channel selection method comprises the steps that firstly, according to a Mesh network topological structure, a data transmission path and a corresponding channel are marked, and performance parameters such as delay packet loss rate, transmission rate bandwidth signal intensity and noise intensity are collected at fixed time intervals; the method comprises the following steps: calculating a delay packet loss rate transmission rate by detecting a data packet, obtaining bandwidth signal intensity and noise intensity by means of a tool, then extracting the delay packet loss rate transmission rate and bandwidth data, constructing a channel quality model, identifying a service type by using a deep packet inspection engine nDPI, and dynamically adjusting a weight according to a bandwidth proportion. Meanwhile, a channel signal interference quantization model is constructed according to the signal intensity and the noise intensity, finally, a signal interference quantization threshold value is set, the channel meeting the condition is screened out, the channel with the maximum channel quality result is selected as the optimal channel and switched, and the reasonability and communication performance of wireless Mesh network channel selection are effectively improved.

The invention relates to an intelligent security management system for a sewage pumping station, which relates to the technical field of intelligent security management and comprises a front-end sensing layer, a transmission layer, a platform layer and an application layer, the front-end sensing layer is composed of a high-definition network camera deployed on the enclosure wall of the pump station and the top of a process area, a face recognition terminal installed on the side wall of a doorframe of an entrance and exit and a license plate recognition unit, the camera is powered by a POE, and the access controller is connected with a biological recognition card reader through an RS485 bus. Omnibearing monitoring and accurate identity verification of a pump station area are achieved through a high-definition network camera of the front-end sensing layer and the biological recognition technology, illegal invasion is effectively prevented, the transmission layer is combined with the wireless Mesh network through the industrial Ethernet, the stability and the anti-interference capacity of data transmission are ensured, and the service life of the transmission layer is prolonged. And the smoothness of a monitoring picture can be kept in a complex electromagnetic environment, and rapid fusion of multi-source data and efficient processing of service logic are realized.

A system for enhanced time division duplexing (TDD) synchronization in a wireless mesh network includes a master access point device and a plurality of repeater devices. The master access point device propagates a first extended wireless local area network (WLAN) beacon to plurality of repeater devices in a specific order based on network topology mapping information. The first extended WLAN beacon includes a first synchronization pattern. A first repeater device receives the first extended WLAN beacon and compares the first synchronization pattern with a prestored synchronization pattern. The first repeater device iteratively adjusts the timing of a local oscillator based on signal strength or signal-to-noise ratio measurements until the patterns match with the prestored synchronization pattern. The first repeater device locks TDD signal timing at the first repeater device based on the first synchronization pattern that matches with the prestored synchronization pattern.

The present disclosure is directed to distributing processing capabilities throughout different nodes in a wireless mesh network. Methods and apparatus consistent with the present disclosure increase the efficiency of communications in a wireless mesh network because they help minimize the need to forward communications to other nodes in the wireless mesh network such that an evaluation can be performed. Apparatus and methods consistent with the present disclosure may distribute ratings or verdicts associated with previous requests to access data to different nodes in a wireless mesh network without generating additional wireless communications through the wireless mesh network. Apparatus and methods consistent with the present disclosure distribute content ratings to different nodes in a wireless network such that different wireless nodes may block redundant requests to undesired content without increasing messaging traffic.

Techniques described herein relate to intelligent migration between personal area networks (PANs) of a wireless mesh network. In one example, a method includes receiving, by a node connected to a first PAN, a packet from a second PAN. Based on the packet, the node determines that a second instability factor related to stability of the second PAN differs by at least a margin from a first instability factor related to stability of the first PAN. The node transmits, to a neighboring node in the first PAN, a migration notification message indicating that the node is migrating and receives, from the neighboring node in the first PAN, a request for the node to remain in the first PAN. The node applies one or more rules to reject the request for the node to remain in the first PAN and, based on rejecting the request, proceeds to complete the migration.

The invention discloses a multi-hop multi-frequency wireless mesh network adaptive routing method based on channel modeling, which comprises the following steps of: S1, carrying out routing discovery and networking, and establishing a mesh network; s2, carrying out channel modeling by utilizing an interpretable neural network to predict channel information, judging a link deterioration condition and a node movement condition, carrying out rapid convergence by utilizing a routing protocol, and carrying out routing maintenance on current data transmission by utilizing a potential path; and S3, broadcasting and collecting state information of each node by using a network controller, introducing a route selection process according to network state dynamics and business particularity, and selecting an optimal route and a secondary route by using node states and business characteristics. By constructing the self-learning channel model, self-adaptive modeling and prediction can be carried out based on historical channel data, the channel state is updated in real time, the accuracy and the intelligent level of routing maintenance are improved, meanwhile, the channel quality can be comprehensively analyzed, and the network performance is optimized.

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.

The invention discloses a wireless Mesh network flow prediction method based on multi-domain feature fusion deep learning, and belongs to the technical field of communication networks. The method comprises the following steps: preprocessing data according to the collected data; constructing a multi-domain graph convolution model, and predicting network traffic; the multi-domain graph convolution model comprises a TimesNet time-frequency domain multi-periodic feature model, a space-time graph convolution network topology feature model and a Transform multi-domain feature adaptive model; and training the constructed convolution model divided into the multi-domain graphs, and outputting a network traffic identification result. According to the method, precise modeling of complex space-time correlation and non-stationarity in a topological domain is realized through the TE-GRU and the CCW-GCN; the three-domain features are subjected to adaptive alignment, so that the adaptability to a complex dynamic Mesh network scene is improved; the depth and accuracy of cross-domain feature fusion are improved, higher flexibility and robustness are shown in complex non-stationary Mesh network flow modeling, and efficient unified expression of the time-frequency domain and the topological domain is achieved.

Disclosed herein is a system comprising a set of wireless communication nodes that are configured to operate as part of a wireless mesh network. Each respective wireless communication node may be directly coupled to at least one other wireless communication node via a respective short-hop wireless link, and at least a first pair of wireless nodes may be both (a) indirectly coupled to one another via a first communication path that comprises one or more intermediary wireless communication nodes and two or more short-hop wireless links and (b) directly coupled to one another via a first long-hop wireless link that provides a second communication path between the first pair of wireless communication nodes having a lesser number of hops than the first communication path. A fiber access point may be directly coupled to a first wireless communication node of the set of wireless communication nodes.

Disclosed herein is a first wireless communication node comprising a first communication module that includes a first baseband unit configured to handle baseband processing for the first communication module, a first RF unit configured to define a frequency range of radio signals for the first communication module, and a first antenna unit configured to generate a first extremely-narrow beam that facilitates exchange of radio signals with at least one other wireless communication node. The first wireless communication node may also comprise a second communication module that includes a second baseband unit configured to handle baseband processing for the second communication module, a second RF unit configured to define a frequency range of radio signals for the second communication module, and a second antenna unit configured to generate a second extremely-narrow beam that facilitates exchange of radio signals with at least one other wireless communication node.

The embodiment of the invention discloses a frequency selection method, device and equipment for a Mesh ad hoc network, a medium and a program. The method comprises the following steps: acquiring a current rssi value indicated by the received signal strength of each frequency point calculated when each node in the Mesh ad hoc network of a wireless mesh network executes a subnet detection task; screening alternative frequency points from the frequency points according to the current rssi values of the frequency points; and executing frequency selection operation according to the alternative frequency points. According to the technical scheme of the embodiment of the invention, the frequency selection efficiency and the frequency selection success rate of the Mesh ad hoc network can be improved.

The present disclosure relates to techniques utilizing beaconing in wireless networks, such as mesh wireless networks. For example, an electronic device may send a single beacon request over a wireless network, and other electronic devices in the wireless network may send beacons at a particular rate for a period of time in response to the beacon request. The particular rate and the period of time may be indicated in the single beacon request, and the electronic device may be able to determine its location based on the beacons received from the other electronic devices in the wireless network.

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.

This disclosure provides methods, components, devices and systems for end-to-end encrypted transmissions in a wireless mesh network. Some aspects more specifically relate to communications between one or more access points (APs) and one or more stations (STAs) in a wireless mesh network. In some examples, the wireless mesh network may include a central AP (CAP) that communicates with one or more other APs via one or more links. In the wireless mesh network, user data may be transmitted to a STA via data packets that are encrypted per link. In some implementations, the data packets may be end-to-end encrypted between the CAP and the STA and assigned end-to-end packet numbers and end-to-end sequence number. Thus, a first data packet may be encapsulated within one or more second data packets such that one or more intermediate APs may refrain from decrypting the first data packet.

The application relates to the technical field of wireless Mesh networks, and discloses a synchronization method for a wireless Mesh network, wherein the Mesh network comprises a plurality of Mesh network nodes connected to each other, the synchronization method comprises the following steps: obtaining external relative execution time in a Mesh control message received by a Mesh network node; obtaining internal relative execution time saved by the Mesh network node; and correcting the internal relative execution time in the case that the external relative execution time is less than the internal relative execution time. The synchronization operation of the Mesh network node is realized by using the relative time mode, the Mesh network node is clocked by using an internal crystal oscillator, the device of the Mesh network node does not need to quickly re-synchronize the network clock after being powered off and then powered on, and the accuracy of the synchronization operation of the device of the Mesh network node in the Mesh network can be improved. The application further discloses a synchronization device for a wireless Mesh network and an electronic equipment.

This application relates to a route repair method and related equipment based on a wireless mesh network, belonging to the field of wireless network technology. The method includes: according to the initial communication path from the source node to the destination node, sequentially sending transmission messages to the next-hop routing nodes starting from the source node; and in the event of transmission message transmission failure, determining a first node and a second node that cannot communicate with each other; selecting a first target communication path from the first node to the destination node from the candidate paths stored in the routing table of the first node; the stored candidate paths are routing paths that do not overlap with the initial communication path; in the first target communication path, the routing nodes adjacent to the first node do not include the second node; starting from the first node, sequentially transmitting transmission messages to each routing node of the first target communication path until the transmission message is transmitted to the destination node. This method can improve the route repair speed.

A given wireless communication node of a wireless mesh network may include at least one processing unit and a plurality of radio modules, where at least one given radio module of the plurality of radio modules is capable of operating in a temporary network-sensing mode in which the given radio module gathers information about any other wireless communication node of the wireless mesh network that is sensed within the given wireless communication node's surrounding area by scanning for radio-frequency signals being emitted by any other radio module within at least a portion of the given wireless communication node's surrounding area while an antenna azimuth of the given radio module is being rotated.

A wireless mesh network and a method for transmitting and receiving signals in the wireless mesh network. The wireless mesh network includes a plurality of low-power nodes. Each low-power node receives signals intermittently when serving as a data receiving node or a data relay node, thereby reducing the power consumption of the wireless mesh network.

Introduced here are approaches to improving the coverage of mesh networks that involve repurposing consumer electronic devices as nodes. By repurposing consumer electronic devices that are configured for a Wi-Fi wireless network protocol, the “dead spot” issue that plagues traditional wireless networks can be addressed at minimal cost.

The present invention provides a wireless Mesh adaptive channel selection method and system, which relates to the field of channel selection and optimization technology. The present invention first marks the data transmission path and the corresponding channel based on the Mesh network topology, and collects performance parameters such as delay packet loss rate, transmission rate, bandwidth, signal strength, and noise strength at fixed time intervals. The delay packet loss rate and transmission rate are calculated by detecting data packets, and the bandwidth signal strength and noise strength are obtained with the help of tools. Then, the delay packet loss rate, transmission rate, and bandwidth data are extracted to construct a channel quality model. The deep packet inspection engine nDPI is used to identify the service type, and the weight is dynamically adjusted according to the bandwidth ratio. At the same time, a channel signal-to-interference quantization model is constructed based on the signal strength and noise strength. Finally, the signal-to-interference quantization threshold is set to screen out qualified channels, select the channel with the largest channel quality result as the optimal channel and switch to it, effectively improving the rationality of wireless Mesh network channel selection and communication performance.

The present application relates to the field of wireless communication and positioning technology, in particular to a three-dimensional space positioning method based on wireless mesh network and a server; the method comprises determining path loss factor and reference signal strength of free space propagation model by using known distance and signal strength between N reference nodes; selecting M reference nodes with strongest signal received by target node, obtaining coordinates of the M reference nodes and calculating distance from the target node based on the determined free space propagation model; calculating initial coordinate value of the target node by using genetic algorithm based on coordinates of the M reference nodes and measured distance from the target node; calculating final coordinate value of the target node by using improved Gauss-Newton algorithm based on the initial coordinate value of the target node. The present application can effectively reduce the influence of multipath interference and shadow fading on RSSI positioning, and significantly improve the accuracy and stability of three-dimensional positioning.

Embodiments of a device and methods to operating the same are described that can reliably monitor a plurality of battery systems including a wireless mesh network. The plurality of battery systems are respectively coupled to a plurality of communication devices each configured to receive battery information regarding the battery system coupled thereto. Each communication device may include a communication interface and configured to communicate with other communication devices on a wireless mesh network. Battery information regarding a battery system may be transmitted through the wireless mesh network to reach a gateway. Battery information may further be transmitted from the gateway to a user device, the Internet, or another network for monitoring the battery systems in a communication protocol different from the wireless mesh network. A gateway may be a dedicated gateway device or any of the communication devices on the wireless network.

The invention belongs to the field of wireless communication and Internet of Things, and provides a wireless sensor network system based on star flash MESH, which comprises a wireless Mesh network formed by a plurality of nodes, and the nodes at least comprise one or more of star flash common nodes, star flash relay nodes, star flash fusion nodes and star flash low-power consumption nodes. According to the invention, through a hybrid node architecture and a double-loader design, low power consumption and high bandwidth requirements are considered, and high-speed services such as audio and video, firmware upgrade and the like are supported; end-to-end encryption and identity authentication are realized by adopting a national cryptographic algorithm, so that the network security is improved, and replay and man-in-the-middle attack are prevented; meanwhile, the protocol stack is designed in a layered mode, the modularization degree is high, and dynamic role configuration and flexible service expansion are supported; a quick relay mark and a sliding window anti-replay mechanism are introduced into a network layer, so that the forwarding efficiency is improved while the safety is ensured; eCDH and PIN authentication are combined in the network distribution stage, and safe and credible equipment network access and key management are achieved.

A power tool, a power tool system, and a method for wireless power tool network operation include distributed intelligence running on individual nodes in a wireless mesh network. A node can determine a first operating parameter associated with a power tool, determine a second operating parameter associated with a mesh network, identify a node type of the power tool based on at least one of the first operating parameter and the second operating parameter, and operate the power tool as a node in the mesh network according to the node type.

Embodiments described herein include techniques for localizing devices connected to wireless networks, such as wireless mesh networks. A device connected to a wireless mesh network may maintain and share information, such as location data and identifiers, regarding the device and other devices connected to the device. The device itself or a computing system to which the device connects may determine locations for the devices in the wireless mesh network and generate a device map that indicates the locations of the devices.

The invention discloses an elevator energy-saving and safety collaboration system and method based on a wireless Mesh network, and relates to the technical field of elevators, the elevator energy-saving and safety collaboration system comprises an energy storage device connected with a power grid and used for recycling and releasing electric energy; an elevator device as an energy conversion and consumption unit; the number of the wireless communication modules corresponds to the number of the energy storage devices and the number of the elevator devices, and the wireless communication modules are connected with the energy storage devices and the elevator devices through communication interfaces; and the gateway machine is connected with the plurality of wireless communication modules in a wireless mode to form a self-organized Mesh network. According to the invention, the energy storage standby power supply is utilized to maintain online communication and sensing during power failure, remote active rescue is supported, and the safety is greatly improved.

This application relates to the field of communication technologies, and particularly to a communication method and system for self-organizing a wireless mesh network. A communication method for self-organizing a wireless mesh network includes the following steps: obtaining the networking information of network nodes after networking, where the network nodes include a main node and at least two secondary nodes, and the networking information includes the physical links between all network nodes; formulating broadcast routing information for transmitting a remote control signal based on the networking information, where the broadcast routing information includes the signal transmission paths from the main node to all secondary nodes, and each secondary node only receives the remote control signal once; and transmitting the remote control signal to all secondary nodes through the main node based on the broadcast routing information. The communication method and system for self-organizing a wireless mesh network provided by this application enable the remote control signal to be efficiently transmitted between network nodes.