44results about How to "Reduce communication consumption" patented technology

The present invention belongs to node self-localization field in large-scale wireless sensor network, and discloses a node indoor localization method based on wireless signal intensity, which main includes: getting relationship curve of signal intensity and distance, and putting forward concept of effective wireless signal intensity (Effective RSS, ERSS); obtaining coordinates of target node by selecting localization arithmetic (ERSS filter + maximum likelihood estimation, triangle localization, approximate location estimation) according with anchor point amount through distance between anchor point and target by training RSS curve; providing alerting service by using physics coordinate, providing navigation service according with route arithmetic and address chain by using sign coordinate (for example in hall). Precisely localization of indoor target can be realized in condition of low-cost, simple initial configuration, and a plurality of services based on location can also be provided.

The invention relates to a local type node management method of the wireless sensor network, which comprises the steps that at the current sampling time, a working node in a first node collection can predict that the alternative area where the ideal node combination with the optimum positioning performance at the time of the next sampling is positioned can be provided; each node in the first node collection can broadcast the forecasting information including the alternative area to other nodes in the wireless sensor network; the node which receives the forecasting information judged whether is positioned within the alternative area, and if the node is positioned within the alternative area, the node is added to a second node collection; the alternative nodes in the second node collection can mutually confirm the location and the condition of the other node, and the alternative nodes can come into the working condition at the next sampling time. The invention can effectively avoid the disadvantages that the computing load of the traditional overall type node management method is large, the storage demand is large, the complexity of the system is large, the structure is complex, the expansibility is not strong etc., the invention can rapidly obtain the node combination which can position the object with very high precision, the working complexity of the system can be reduced, and the network service life can be prolonged.

The application provides a method and apparatus for realizing portal authentication. The method comprises: receiving a request sent by a client, carrying out interaction with a portal server by a proxy server, returning a page for authentication information inputting by a user to the client; receiving the authentication information inputted by the user and sending a request carrying the authentication information and a preset identifier to the portal server by the proxy server to enable the portal server to return response information containing the authentication information for launching authentication according to the preset identifier; and carrying out interaction with an authentication server according to the response to obtain an authentication result, sending a request containing the authentication result to the portal server by the proxy server, and receiving a response, for authentication result notification, returned by the portal server, thereby returning the authentication result to the client. According to the embodiment of the invention, UDP messages can be sent at fixed time without any access equipment, thereby effectively reducing communication consumption in a network.

The invention discloses a method for monitoring the state of a cloud data center, and belongs to the technical field of cloud computing. The method comprises the steps that first, the whole threshold values of monitoring objects and the local threshold values of monitoring nodes are preset according to different monitoring objects, and then the tolerable accumulative border crossing amount is set for the monitoring nodes; when state border crossing happens to the monitoring nodes locally, the monitoring nodes accumulate the local border crossing values until the accumulative value reaches the tolerable accumulative border crossing amount, relevant data such as weighted average border crossing strength of local continuous border crossing are sent to an aggregation node; the aggregation node is used for predicating the whole state of a system on the basis of history polling to obtain a system idle value; if the received weighted average border crossing strength exceeds the predicated idle value, global polling is conducted, the system using vale in the future is predicated according to the global polling, and whether an alarm is triggered or nor is determined. According to the method for monitoring the state of the cloud data center, the communication consumption needed by state monitoring can be well lowered, and therefore the resource consumption of the cloud data center is lowered on the whole.

The invention discloses a WSNs clustering routing method under long and narrow topology. The method comprises the following steps that at a cluster head campaigning stage, the cluster head campaigningtime is set for each node according to the relative rest energy and the distance between the gathering nodes; when the time is shorter, the campaigning succeeding possibility is higher; at the cluster forming stage, the nodes select to add the cluster with the shortest distance and the greater communication radius according to the stored cluster head information; at a multi-hop path building stage, on the basis of the relative rest energy and energy expenditure index, the cluster head node builds the optimum multi-hop path based on the minimum spanning tree. The WSNs clustering routing methodunder the long and narrow topology can realize more effective data transmission at each routing stage; the network transmission efficiency and the node load balance can be improved, so that the energy consumption of each node can be balanced; the network life period can be prolonged.

The invention relates to a wireless sensor network and a node task distribution method thereof. The wireless sensor network comprises a gateway node and multiple common nodes. The wireless sensor network is characterized in that the gateway node and the multiple common nodes are formed through linkage in a wireless multi-hop mode, the gateway node is provided with power supply, and the common nodes are provided with no power supply, are randomly arranged and are moved no longer once the common nodes are arranged well. The gateway node in the wireless sensor network allocates interdependent subtasks based on a genetic algorithm, an integral incentive mechanism is introduced to an allocation algorithm, grading is conducted on the common nodes according to node integrals, accordingly loads of all nodes are balanced, and the life cycle of a network is prolonged. Under the situation that the nodes are unstable, uncompleted tasks on unstable points can be migrated to other appropriate nodes, task completion within time limit is ensured, and task allocation efficiency and completion quality are improved.

The invention provides an intelligent electronic label information system, which comprises an electronic label and a reader-writer, wherein the electronic label stores an instruction which can be read by the reader-writer; and the reader-writer stores a procedure code corresponding to the instruction and is used for reading the instruction stored by the electronic label and executing the corresponding procedure code. By the intelligent electronic label information system, the equipment manufacturing cost of the electronic label system can be greatly reduced, and the management and running efficiency can be improved; and the implementation range of the electronic label system can be deeply expanded. Furthermore, the storage space of the electronic label is effectively saved, and the transmission consumption and the communication consumption during partial interaction can be reduced. Moreover, a phenomenon that all types of data information are concentratively transmitted to a uniform background server is avoided, the bandwidth consumption and the communication cost of large-scale data transmission in multiple types of application are reduced, the probability that important data information leaks is reduced, and data privacy protection is facilitated.

The invention provides a cross-cluster asymmetric group key negotiation method in a wireless sensor network. The method comprises steps as follows: an allied and shared key between clusters is established, cluster heads are taken as bridging nodes, and sensor nodes of different nodes have the same group key factor information; an asymmetric computation algorithm is designed in the group key negotiation process, more computation and communication traffic of the sensor nodes are migrated to the cluster head nodes with larger energy, and the lightweight property of computation and communication overhead of the sensor nodes is ensured; self-certification property of keys is realized, additional communication rounds are not required, the sensor nodes can self-certify the correctness in computing the group keys, and the correctness and the safety of the group key negotiation are guaranteed. Group key negotiation of the sensor nodes distributed in different clusters in the wireless sensor network is realized, a safe communication channel is established, the scale of cooperative computation and information sharing of sensor node groups is further expanded, energy consumption of the sensor nodes is reduced, and the service life of the sensor nodes is prolonged.

The invention discloses a frequency spectrum resource management and allocation method based on federated learning. The method comprises the steps: enabling the terminal equipment to collect the state information from an environment; if the information change exceeds a threshold value, making a decision of a frequency spectrum, a sub-channel and transmission power of channel transmission; enabling the terminal equipment to collect the state information and reward information at the next moment after the decision, and adopting a gradient descent method to train an actor network and a reviewer network in the main network; when the accumulated gradient of the terminal equipment reaches a preset gradient threshold value, uploading the main network parameters of the terminal equipment to the base station; after the quantity of the main network parameters collected by the base station reaches a threshold value, aggregating the main network parameters according to a preset weight and broadcasting to all the terminal equipment; and enabling the terminal equipment to update the parameters of the main network and the target network after receiving the aggregation parameters. In order to solve the problems of low spectrum utilization rate, easy leakage of user privacy and the like in the prior art, the invention adopts an asynchronous federated learning mode, and has the advantage of low communication consumption while solving the problems.

The invention discloses a hybrid Pastry network for a voice over Internet protocol (VoIP) service, which belongs to the technical field of networks. Nodes in the hybrid Pastry network provided by the invention are divided into super nodes and ordinary nodes, wherein the super nodes form a main Pastry network; each super node manages a Pastry sub-network consisting of the ordinary nodes, and keepsand maintains all the information of the nodes in the Pastry sub-networks managed by the super nodes; and when the nodes in the Pastry sub-networks are required to communicate with the other nodes, the other nodes are first searched in the Pastry sub-networks where the nodes are, and if the Pastry sub-networks where the nodes are do not comprise the other nodes, the other nodes are searched in the other sub-networks by the main Pastry network. The hybrid Pastry network also utilizes a dynamic contact frequency grouping method and a recently-contacting node set-trust mechanism method to further improve the searching efficiency of communication among the nodes in the network, and simultaneously introduces a timestamp mechanism to more timely update a node state table and improve the real-time of Internet calls.

The invention belongs to the technical field of a distributed system consensus mechanism and a block chain public chain, and discloses an extensible and secure consensus method and system, a storage medium and an intelligent terminal, comprising three protocols of node registration, block generation and block synchronization; according to a node registration protocol, a new node generates initial information and initialized right information, generates a node registration transaction by using public information and right information, and then sends the node registration transaction to a consensus network for node registration to become a network node; according to a block generation protocol, a consensus node generates a node right share table and a random number to perform candidate election, then a candidate generates compressed candidate blocks and broadcasts the compressed candidate blocks, and other nodes verify candidate block information and then select the candidate blocks meeting conditions as leaders to generate blocks; according to the block synchronization protocol, an unsynchronized node calculates a current consensus round and verifies the legality of a received chain, and a chain is selected for synchronization by using a chain selection rule. The security attribute of the scheme is improved, and the expandability of the scheme is effectively improved.

The invention relates to a heterogeneous cloud-oriented cloud native micro-service platform, which comprises a micro-service application subsystem, a micro-service application deployed based on a Kubernetes cloud management platform, a Cloud Foundry cloud management platform and an IaaS cloud virtual machine, and a cloud native micro-service adaptation operation of the heterogeneous cloud constructed by combining a micro-service platform basic support subsystem and a ServiceMesh technology, the micro-service platform basic support subsystem interacts with the micro-service application subsystem, receives registration and subscription requests of the micro-service application subsystem, and provides information configuration, information monitoring and service management channels for a management user side; the management user side manages and maintains the micro-service application deployed by the Kubernetes cloud management platform through ServiceMesh, so as to realize the function management of the micro-service basic component; and a service calling party subscribes the total service list information from the registration center, and selects a service provider to send a request according to a load balancing algorithm. Compared with the prior art, the method has the advantages of realizing unified micro-service management of the heterogeneous cloud management platform and the like.

The invention provides a hierarchical dynamic group key negotiation method based on privacy protection, which comprises the following steps of: initializing protocol parameters in a group key agreement network domain, generating public/private key pairs of an authentication center and terminal members, performing identity authentication of hidden attributes by the terminal members, and after the authentication is successful, carrying out group key agreement on the terminal members. The terminal member calculates an encryption key and a decryption key according to the attribute weight of the terminal member, verifies the consistency of the keys, and can also apply for attribute change from the authentication center to participate in group key negotiation of a high layer or a low layer. According to the method, the identity authentication technology with hidden attributes is adopted, leakage of personal privacy information can be avoided during identity authentication. Meanwhile, the threshold permission is set according to the attribute weights, group communication is participated in with different confidentialities, the reliability of data communication is improved, and a double-authentication mechanism of identity authentication and attribute weight matching is adopted, so that the reliability of data communication is improved. The safety of the system is improved to a great extent, and the group key negotiation is more flexible, efficient and practical.

The invention relates to a bullet screen data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring bullet screen data to be operated from a preset cache space; according to an array data structure, calculating the running state of the bullet screen track, wherein the array data structure is used for recording running information of bullet screen data running currently in each bullet screen track and bullet screen data to be run, and the bullet screen track is used for pushing bullet screen data in the user interface according to a specified moving track; when the operation state of the bullet screen track is an idle state, allocating bullet screen data to be operated in the array data structure to the bullet screen track in the idle state, and updating the array data structure; and sending the bullet screen data currently running in the bullet screen track to the native application to execute animation processing of bullet screen floating. According to the method and the device, the technical problem of relatively high communication consumption between the JS process and the native application caused by relatively low bullet screen data processing performance in the prior art is solved.

The invention discloses a dynamic cluster radius-based non-uniform clustering method for a wireless sensor network. The wireless sensor network comprises a base station and a plurality of sensor nodes, wherein the base station is fixedly located in a network center and can collect data of the whole network sensor through a multi-hop routing transmission method, and the data comprises the collected data and electric quantity information of the base station. The sensor nodes are randomly deployed on the wireless sensor network to monitor the surrounding environment, and data are transmitted among the sensor nodes through routing, so that different nodes have different energy consumption rates. According to the method, the defects in the prior art are overcome, and the cluster radius can be automatically changed along with the operation of the network, namely, the cluster radius of the cluster head with more residual energy is increased, more loads are actively borne, and tasks are shared for other cluster heads; the cluster radius of the cluster head with small residual energy is reduced, and some loads are reduced to save energy, so that the purpose of better uniformizing the energy consumption of the network is achieved.

The invention discloses an improved PBFT consensus method and device, an intelligent terminal and a storage medium, and the improved PBFT consensus method comprises the steps: initializing the integrals of all nodes; based on the integral of each node and a preset target number, selecting and obtaining board nodes and common nodes, wherein the board nodes are used for executing a consistency protocol; executing a consensus process based on the board nodes and the common nodes, and updating the integral of the board nodes and the common nodes based on the performance of executing the consensus process by the board nodes and the common nodes; and re-electing and updating the board nodes and the common nodes based on a preset updating period, a preset target number and the updated integrals of the board nodes and the common nodes. According to the improved PBFT consensus method provided by the scheme of the invention, the communication consumption is reduced, and the time cost of the block chain is reduced.