264 results about "Wireless mesh network" patented technology

The invention provides a method and a system for improving the performance of a wireless Mesh network, and relates to the field of intelligent control of the wireless Mesh network, the method comprises the following steps: establishing a device end state reporting mechanism, setting a random delay time when the device state changes, and reporting the device state after the random delay; performing congestion detection according to the reporting result of the equipment state, monitoring the number of data packets received in the Mesh network in real time, counting the number of data packets received per second, and comparing the number with a set threshold value to judge whether the network is congested or not; congestion processing is carried out according to the congestion result, when the network congestion is detected, reporting of the equipment state is further delayed, the additional time of delay is dynamically adjusted according to the actual network condition, and the network congestion is relieved. According to the invention, through comprehensive application of an equipment end state reporting mechanism, air packet congestion detection and processing and an instruction priority mechanism, the problem of network congestion is effectively relieved, the stability of the system and the real-time performance of control are ensured, and the user experience is improved.

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.

An energy-constrained wireless mesh network is disclosed suitable for unattended sensor devices in rural or off-grid areas. The mesh network can be used in both a secure and insecure mode as desired. A series of rounds is used to communicate synchronously between a base station and wireless devices that are multiple hops away from the base station. Adaptive data rate techniques may be used to optimize data exchanges between networked devices.

A battery management system based on a wireless network and an operating method thereof are disclosed. A battery management system includes first to Nth BMUs (battery management units) and a master BMU that constitute a wireless mesh network. The master BMU is configured to determine network performance of the first to N-th BMUs, determine SOC using operational characteristic data received from the first to N-th BMUs, and designate as a router BMU a BMU having network performance higher than a standard and coupled with a battery module having an SOC satisfying a balance condition, and designate as an end BMU the remaining BMUs. The router BMU is configured to form a communication link with each end BMU and to transmit operational characteristic data of the battery module collected from each end BMU and operational characteristic data of the battery module coupled thereto to the master BMU.

The present disclosure distributes processing capabilities throughout different nodes in a wireless network. Methods and apparatus consistent with the present disclosure increase the efficiency of communications in a wireless network because they help minimize the need to forward communications to other nodes in the network by allowing different wireless nodes to receive and store content ratings regarding requested content in caches associated with respective wireless nodes. Apparatus and methods consistent with the present disclosure perform a load balancing function because they distribute content ratings to different nodes in a wireless network without increasing messaging traffic. As response messages regarding access requests are passed back to a requestor, cache memories at nodes along a communication path are updated to include information that cross-references data identifiers with received content ratings. The cross-referenced data identifiers and content ratings allow each respective wireless node along the communication path to block requests to bad content.

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 present disclosure relates to techniques for wireless communication between electronic devices in a wireless network, such as a mesh wireless network. For example, a first electronic device may include processing circuitry that is configured to cause a transceiver of the first electronic device to transmit to a second electronic device in a wireless network an indication of time slots. The processing circuitry may cause at least a portion of the transceiver to enter a low power state during one or more times outside the time slots and cause the transceiver to exit the low power state to transmit or receive wireless signals during the time slots.

The invention provides a wireless Mesh network reliability guarantee method based on adaptive network coding. The method comprises the steps of routing initialization, dynamic weight adjustment, link selection, network coding and data transmission. The method comprises the following steps: firstly, in a routing initialization step, each node discovers a neighbor node and establishes a Mesh network structure; in the dynamic weight adjustment step, a weight matrix is adjusted according to different service types (such as video streams and audio streams) so as to optimize the transmission reliability and the resource utilization rate; in the link selection step, an optimal link path is selected by constructing a state matrix and adopting an E-D algorithm, so that the transmission reliability and efficiency are improved; in the network coding and data transmission steps, the optimal coding degree and redundancy are calculated through a Gaussian process (GP) model so as to adapt to the dynamic change of the network environment and improve the transmission robustness. According to the invention, the software defined network (SDN) controller is utilized to manage the routing in a unified manner, and the link selection strategy can be flexibly adjusted according to service requirements. By collecting the state information of each node in the network, the system adaptively adjusts the coding parameters and weight configuration of the nodes, and selects the optimal route according to the performance of the nodes. According to the method, the packet loss rate and delay in the data packet transmission process are effectively reduced, and the transmission efficiency and reliability of the multi-hop wireless Mesh network are 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.

Intelligent wireless energy sharing is provided. An ad hoc wireless mesh network that includes a plurality of energy nodes is formed using a set of machine learning models. The plurality of energy nodes is comprised of the energy node and a set of other energy nodes. A source energy node and a sink energy node in the plurality of energy nodes is identified using the set of machine learning models in response to forming the ad hoc wireless mesh network. Energy is wirelessly transferred from the energy node as the source energy node to the sink energy node via the ad hoc wireless mesh network utilizing a transceiver.

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.

The invention belongs to the technical field of Internet of Things, particularly relates to an optimal routing selection method based on routing cost, and aims to solve the routing selection problem in a multi-routing cluster tree wireless MESH network. According to the method, the local routing table containing the destination node address, the next hop address, the routing cost and the updating time is maintained at each routing node, so that the function of dynamically updating the routing information is realized. The routing cost is a result obtained by adding the cost factors (such as electric quantity, link quality, available load and the like) of each node on the message transmission path according to a preset weight. The mechanism ensures that various influence factors can be comprehensively considered during route selection, so that the optimal path is selected. No matter the uplink message forwarding or the downlink message forwarding, the method can guide the routing selection through the routing cost updated in real time, thereby effectively improving the success rate of message transmission and reducing the transmission time delay.

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.

A node (300) out of a plurality of nodes comprising a radio (310) configured to receive a message related to a wireless mesh network out of two or more wireless mesh networks (110, 120, 130) comprised in a multi-network system (100); wherein any two adjacent networks in the multi-network system (100) having different network configurations; and a controller (320) configured to control the node (300) to associate with the wireless mesh network as its primary network; and generate a candidate node table comprising an entry related to a neighboring node (300'), wherein the neighboring node (300') is within direct communication range of the node (300) and associated with another network in the multi-network system (100) and different from the node's primary network; wherein the radio (310) is further configured to send the candidate node table to a commissioning tool (500).

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.

The present disclosure relates to securely setting up mesh networks in a secure manner that does not require a physical network cable being attached to a wireless device and that do not require transmitting unencrypted information wirelessly when a mesh network is setup. Methods and apparatus consistent with the present disclosure may use different communication interfaces and different types of channels to ensure that devices included in or being added to a wireless mesh network always communicate securely. Methods and apparatus consistent with the present disclosure may use a combination of conventional secure communication methods, such as secure hypertext transfer protocol (HTTPS) communications, low power signals that travel over short distances, and other types of communications to create a system that only uses secure communications when setting up or expanding a wireless mesh network.

The invention discloses a communication service system based on intelligent management. An operation method of the system comprises the following steps: carrying out structure division control management on a wireless Mesh network; node control analysis of the wireless Mesh network is carried out; the operation control of the wireless Mesh network is further optimized and managed; and carrying out backup calling management on the wireless Mesh network data information. The step of carrying out structure division control management on the wireless Mesh network comprises the step of carrying out MKD (Mesh Key Distribution) domain structure division processing on the wireless Mesh network, so that each MKD domain contains one MKD and a corresponding set number of MAs (Mesh Authorization). The node control analysis of the wireless Mesh network comprises the following steps: after an MP node is started in the wireless Mesh network, performing analysis control according to whether wired connection exists or not, and enabling the MP node to interact with a DHCP server through the established Mesh network connection to obtain an IP address so as to complete the configuration of the network. The system has the characteristics of high safety and intelligent management and control optimization.

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.