39results about How to "Realize self-organization" patented technology

Through installing and running peer-to-peer interactive software including interactive software at peer-to-peer ends, multiple nodes coordinated fast file transmission software, and virus-scanning software, the invention builds a P2P networked system of anti worm virus for peer-to-pee hosts. The said system supplies following functions: high effective information sharing on the said self-organizing network for anti worm virus; quick issuing early warning through d mechanism of distributing route in time of finding worm virus; quick obtaining patch files through coordinated fast transmission mechanism. Comparing with prior art, the invention possesses advantages of obtaining information in time, and good effect for anti worm virus.

The invention discloses a method for distributing downlink interference mitigation based on a distributed channel. According to the method, channel state information of each family base station to a user who the family base station serves is obtained, and relevant parameters are initialized; each family base station repeatedly updates an iterations counter and a strategy counter of itself according to the surrounding interference condition; each family base station selects a channel set which is used finally to achieve mitigation of in-layer interference when the number of updating times reaches a preset threshold value. According to the method, a distributed channel distributing scheme is adopted, a center control node does not need to be introduced, cost for operation maintenance is reduced, and self-organization and self-optimization of an isomerous cellular network are achieved; channel state information or other information interaction among smallcells are not needed, and complexity for realization is greatly reduced; each family base station selects a proper channel for transmission intellectually and dynamically according to measured interference, and therefore the overall capacity of the network is improved on the premise that self capacity is guaranteed.

The invention discloses a grading type wireless sensor networking method and aims to provide a grading type wireless sensor networking method which has strong convergence and can be freely combined. In the method, a plurality of nodes and a server are provided. The whole network is classified into four grades, and after entering the network, each node is combined with the original network to form a Mesh network and requests to distribute an IP address. In communication, if the target node adopts an ID address in the same network, the IP address is adopted in different networks, the quick convergence property of a route can be greatly enhanced, and the network can be formed by free combination. The invention is suitable for various wireless sensor networks.

The present disclosure provides a method and system for self-adaptive access and sharing of Internet of Things devices, including several Internet of Things nodes, several smart devices and servers, wherein each Internet of Things node connects to multiple smart sockets wirelessly, and receives the Information about smart devices; the server receives the control instructions sent by the client, and broadcasts node identification messages to all IoT nodes, receives the identification information fed back by each IoT node, and comprehensively selects each smart device according to the feedback duration and feedback information of each node Corresponding to the optimal node, sub-optimal node and standby node, and perform virtual partitioning for each smart device in the order of selection, and connect the corresponding IoT node through Ethernet to send the data related to the control command to the corresponding smart device equipment, to manage and control equipment.

The invention discloses a method and a device for jointly performing coverage optimization by multiple base stations, which are used to solve the problems of uncoordinated multiple base stations and low optimization efficiency in existing coverage optimization schemes. The first method proposed by the present invention is: the base station where the cell after the coverage adjustment is located sends a coverage adjustment notice to other neighboring base stations, so as to trigger the neighboring base stations to judge whether to make corresponding coverage adjustments to the neighboring cells of the source cell action. The second scheme is: the source base station sends a coverage adjustment request to the target base station, and the target base station sends the adjustment result to the source base station or several adjacent base stations after performing coverage adjustment. The present invention triggers adjacent base stations to perform coverage adjustment actions of adjacent cells through messages such as coverage adjustment notices and coverage adjustment requests, so that multiple base stations can jointly perform coverage optimization, realize self-organization and self-optimization for cell coverage, and improve Optimize efficiency.

The invention relates to an optimization method in the electric power automation field, in particular to a trans-provincial and trans-regional transaction optimization method based on financial path optimization. The trans-provincial and trans-regional transaction optimization method based on financial path optimization includes the steps that (1) a power network simplification physical model is established; (2) a financial path model is established with power transmission network loss and transfer network loss considered; (3) constraint conditions for trans-provincial and trans-regional transactions are established; (4) a benefit maximization target function is established; (5) the optimization results of the trans-provincial and trans-regional transactions are determined, and a financial path is automatically searched for. According to the method, on the basis of consideration of the transmission capacity of a physical channel, financial cost caused by power transmission network loss of a power network, trans-provincial and trans-regional transfer network loss and the like is increased, and a trans-provincial and trans-regional transaction financial path covering multiple buyers and multiple sellers within a wide range can be automatically selected and searched for in an optimized mode.

Embodiments of the present invention provide a system and method for network node authentication, reconfiguration and data transmission of a power distribution body area network, belonging to the field of power distribution Internet of Things. The power distribution body area network network node authentication system includes a sensing node, a convergence node and an intelligent terminal; the sensing node is used to: send a new node registration request to the convergence node; and respond to the new node registration according to the convergence node Requesting the returned first notification information, selecting the closest converging node j to send the first registration request; the converging node j is configured to: authenticate the sensing node according to the first registration request. The power distribution body area network network node authentication system helps to improve the automation and intelligence level of power data collection, transmission and processing.

The present disclosure provides a self-adaptive configuration method, system, storage medium and equipment for IoT devices, including several IoT nodes, several smart devices and servers, wherein each IoT node is wirelessly connected to multiple smart sockets via 433MHz, and receives The information of the smart devices in the area to which it belongs; the server receives the control instructions sent by the client, and broadcasts the node identification message to all IoT nodes, receives the identification information fed back by each IoT node, and comprehensively selects according to the feedback duration and feedback information of each node The optimal node, sub-optimal node and standby node corresponding to each smart device, and each smart device is virtual partitioned in the order of selection, and the corresponding IoT node is connected through Ethernet to send the data related to the control command to the corresponding smart device for device management and control.