13 results about "COAP protocol" patented technology

A receiver (110), a transmitter (120), a method, a computer program and a computer program product are disclosed. The receiver (110) in a network (100) for receiving a first constrained application protocol, CoAP, message, the receiver (110) receives, from a transmitter (120) in the network (100), the first CoAP message, the first CoAP message comprising a modified header field indicating a time indication value, wherein the time indication value is generated by the transmitter (120), and evaluates network latency or network load based on the time indication value. A transmitter, methods, computer programs and a computer readable storage medium is also disclosed.

The invention relates to a zone area communication system based on a CoAP protocol. The zone area communication system comprises a cloud platform side, a fusion terminal side and an end equipment side, the cloud platform side serves as a command center of a station area communication system, is internally provided with a CoAP client and can initiatively initiate a CoAP request to the fusion terminal side; the side of the fusion terminal is used as a zone-level edge communication transfer and local computing node, and has double identities of a CoAP server and a CoAP client; a lightweight CoAP server is arranged in each device in an end device side, functions of monitoring, control, protection, management and communication are abstracted into a unified CoAP resource, and a resource model of the end device is established by using a standard method and an observation mechanism of a CoAP protocol. According to the invention, the communication requirements of low power consumption, high real-time performance and high security are met.

This invention provides a method for automatic failover of a central collector in a distributed IoT system and the IoT system itself. The method includes: a host computer sending an online status query message for devices via CoAP protocol multicast, statistically analyzing the device response results, identifying central collectors that fail to respond multiple times consecutively as faulty central collectors, and sending a fault notification message via protocol multicast, the message containing the IP address of the faulty central collector; each IoT terminal determining whether the message data contains the IP address of its currently reported central collector, and if so, sending a path switching request message to the host computer; upon receiving the path switching request message, the host computer selecting the central collector with the best computing resources to take over, sending a switchover response message to the IoT terminal, the message carrying the IP address of the central collector taking over; upon receiving the switchover response message, the IoT terminal sending a registration message to the central collector taking over to complete terminal registration, and sending a deregistration message to the faulty central collector to complete terminal deregistration, thereby realizing fault handling in the power distribution system.

This disclosure describes systems, methods, and devices related to Constrained Application Protocol (CoAP). A device may decode a service request for computing in CoAP message from User Equipment (UE) via a Radio Resource Control (RRC) or Non-Access Stratum (NAS) container. The device may map the decoded CoAP message into a service request for computing in HTTP to a Service Communication Proxy Function (SOCF), by operating as a CoAP to HTTP proxy. The device may monitor for the results of the computing service if asynchronous results delivery is indicated. The device may encode a CoAP acknowledgement (ACK) message indicating asynchronous data delivery.

The application discloses a network security protection method for identifying abnormal traffic by using an intelligent algorithm, and relates to the technical field of Internet of Things network security, comprising the following steps: listening to HTTP protocol messages, MQTT protocol messages and CoAP protocol messages transmitted by an Internet of Things network, deconstructing protocol headers and payload fields, identifying protocol operation characteristics that violate the functional roles of Internet of Things devices in combination with untrusted state markers in a physical topology chain, and outputting abnormal protocol characteristic analysis results; inputting the physical topology chain and the abnormal protocol characteristic analysis results into a pre-trained graph neural network model to determine that an Internet of Things device that simultaneously has an untrusted state marker and an abnormal protocol characteristic node is an abnormal traffic source. The application uses a pre-trained graph neural network to perform nonlinear feature aggregation and propagation on multi-hop relationships between nodes, thereby realizing deep modeling of complex dependency relationships between devices.

The invention belongs to the technical field of intelligent control and the Internet of Things, and particularly relates to a distributed cooperative control method for lighting equipment based on an operating system of the Internet of Things. The distributed cooperative control of the lighting equipment is converted from a traditional mode of application layer protocol + centralized server to a mode of operating system kernel-level service + distributed peer-to-peer cooperation, and compared with a common centralized control scheme (such as a typical intelligent street lamp cloud platform architecture) based on an MQTT / CoAP protocol connection cloud platform in the prior art, the distributed cooperative control of the lighting equipment is improved. According to the scheme, the dependence on the central server is eliminated, the single-point fault risk is avoided, meanwhile, kernel-level abstraction of the service intention is achieved through the cooperation mode descriptor and the global cooperation registry, and control logic is not separated from network resource management any more.

The application discloses a kind of method and system for realizing device cooperation;The application obtains the IP and port information of itself by first terminal and second terminal, broadcasts IP and port information by CoAP protocol, and continuously listens to surrounding broadcast information;Second terminal registers all devices of itself as shared virtual device;After first terminal listens to the IP and port information of second terminal, interconnection channel is established with second terminal according to the IP and port information of second terminal, and shared virtual device information is obtained;First terminal sends device call request to second terminal according to the business request of application and the shared virtual device information of second terminal;Second terminal receives device call request, and according to the shared virtual device information contained in device call request, corresponding device is called to process business, and processing result is returned to first terminal;Cross-terminal business cooperation of device is realized, and the utilization of device resources and the experience of device switching are improved.

This invention discloses a method and system for achieving rapid device interconnection. The invention involves a first terminal and a second terminal acquiring their own IP and port information, broadcasting this information via the CoAP protocol, and continuously monitoring surrounding broadcast information. Upon detecting the first terminal's broadcast information, the second terminal establishes a session connection with the first terminal based on the IP and port information in the broadcast. The second terminal receives an application service request and sends an interconnection request along with its own terminal information to the first terminal based on the application service request. The first terminal receives the interconnection request and, after successful authentication via the identity authentication mechanism, selects an interconnection channel based on its terminal information to establish an interconnection with the second terminal. This invention achieves device interconnection more quickly and conveniently. Furthermore, because it can automatically select an interconnection channel, it avoids the need for developers to deal with heterogeneous networks, reducing development costs and offering better scalability.

The application discloses a data transmission method, device and equipment and a storage medium. When the CoAP protocol block transmission capability of a test Internet of Things platform is tested, the client obtains the transmission byte number of the last data block sent to the server before sending the next data block to the server each time. When the transmission byte number is not equal to the minimum threshold of the transmission byte, the transmission byte number is reduced to send the data block. The test result of the client data transmission can be determined according to the to-be-uploaded data and the transmission process. Since the transmission byte number of the data block is selectively reduced before the client sends the data block to the server each time, the test scene that the SZX of the client block transmission is less than the expected value of the server SZX during the block transmission of the CoAP client can be covered, and the scene that the SZX dynamically changes during the block transmission of the CoAP client can be covered. The scene conforms to the RFC CoAP protocol specification, the general adaptability of the platform protocol is increased, and therefore the processing efficiency of the data block transmission of the Internet of Things platform is improved.

This invention provides a distributed IoT system with fiber optic networking and its device registration method. The system includes a host computer, a switch, and IoT terminal devices. The switch is connected to the host computer. Each IoT terminal device is equipped with two fiber optic interfaces. The IoT terminal devices are connected to the backbone network in a daisy-chain manner through the fiber optic interfaces, enabling bidirectional data communication along the cascaded path of the IoT terminal devices. Each device joins a unified multicast via a distributed soft bus component. The host computer sends multicast messages to all IoT terminal devices in the system via the CoAP protocol or sends messages to specific IoT terminal devices based on their IP addresses. The IoT terminal devices identify the destination address carried in the messages and parse and respond to messages whose destination address is their own IP address or the multicast address. This invention uses a daisy-chain fiber optic connection to form a mesh network system between the terminals and the host computer system, allowing each node to communicate with each other at high speed and low latency.

According to the low-power-consumption implementation method of the wireless sensor network based on the CoAP protocol, when the client requests the resource, the first ETag value obtained before can be carried as a part of the request, after the server receives the request, the ETag value of the current resource is compared with the ETag value provided by the client, if the ETag value of the current resource is different from the ETag value provided by the client, it is indicated that the resource is changed, and if the ETag value of the current resource is not changed, it is indicated that the resource is not changed. According to the method, the server returns new resource content and the updated ETag value, if the resource content and the updated ETag value are the same, the resource does not change, the server can return empty content, and the resource cached by the client is still effective, so that the energy consumption of the wireless sensor network can be remarkably reduced by reducing unnecessary polling requests.

The invention discloses a network security protection method for identifying abnormal traffic by using an intelligent algorithm, which relates to the technical field of Internet of Things network security, and comprises the following steps: monitoring an HTTP protocol message, an MQTT protocol message and a CoAP protocol message transmitted by an Internet of Things network, deconstructing a protocol header and a load field, and combining an untrusted state mark in a physical topology chain to obtain an abnormal traffic data packet; identifying protocol operation characteristics violating the function role of the Internet of Things equipment, and outputting an abnormal protocol characteristic analysis result; and inputting the physical topology chain and the abnormal protocol feature analysis result into a pre-training graph neural network model, and determining that the Internet of Things device having the untrusted state mark and the abnormal protocol feature node at the same time is an abnormal traffic source. According to the method, nonlinear feature aggregation and propagation are carried out on the multi-hop relationship between the nodes by using the pre-trained graph neural network, and deep modeling of the complex dependency relationship between the devices is realized.

The invention relates to the technical field of equipment control, and discloses a control method and system of intelligent wearable equipment for children. The method comprises the steps that multi-sensor data are collected through a dual-core heterogeneous processor, and an original data set containing three-axis acceleration, heart rate variability and environmental parameters is obtained; extracting time domain and frequency domain features by adopting a sliding window segmentation algorithm to form child motion feature vectors; a lightweight random forest algorithm is used to identify four motion states of static, walking, running and riding; generating a dynamic child behavior encryption key through an SHA-256 Hash algorithm based on the motion state identifier and the heart rate variability data; and finally, transmitting the encrypted child safety monitoring data through a CoAP protocol. The problems of resource competition of a single-core processor, insufficient motion state recognition accuracy, too high power consumption of an encryption algorithm and poor security of a static key in the prior art are solved.