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66 results about "Election algorithm" patented technology

An election algorithm is an algorithm for solving the coordinator election problem. By the nature of the coordinator election problem, any election algorithm must be a distributed algorithm.

Locomotive control method and locomotive control system

ActiveCN101224751AControl securityThe control unit controls the security by handling theTransmissionRailway signalling and safetyControl systemFile comparison
The invention discloses a locomotive control method and a locomotive control system, and the method comprises the following steps: a ground control center generates and sends an ATP message which contains protective point distance data, road speed restriction data, advanced road selection data and an emergence command; a locomotive-mounted control device receives the ATP message and determines whether the emergence command is valid, and controls the locomotive to stop if valid, determines the validness of the advanced road selection data if invalid; if the advanced road selection data is valid, the locomotive-mounted control device selects a driving path by using the advanced road selection data to implement the path selection algorithm, and generates first speed data according to the selected driving path and the protective point distance data; if the advanced road selection data is invalid, the locomotive-mounted control device generates the first speed data according to the current driving path and the protective point distance data; the first speed data is compared with the predefined road speed restriction data, and the smaller speed data is taken as the current driving speed data, and then the invention controls the locomotive according to the driving speed data. The method and the system of the invention can control the safe and intelligent driving of the locomotive.
Owner:CRSC RESEARCH & DESIGN INSTITUTE GROUP CO LTD

An optimal path selection algorithm based on machine learning under SDN

The invention discloses an optimal path selection algorithm based on machine learning under SDN. The method comprises steps of building SDN platform, SIMULATING REALITY NETWORK ENVIRONMENT, acquiringdiscrete real-time network state data; carrying out classification according to different QoS index requirements of different services in network transmission; obtaining a plurality of indexes, arranging experimental data to obtain a sample data set, screening an optimal path from the sample data set by using a heuristic algorithm according to consideration standards of different services on eachindex, labeling the optimal path corresponding to each group of data, and finally training the data set by using a machine learning algorithm to obtain a classifier, thereby achieving the purpose of rapid dynamic routing. The result of the method is basically the same as the optimization result of the heuristic algorithm, and the calculation time of the model is far shorter than that of the heuristic algorithm, so that the necessary condition of rapid decision making in actual network operation is met. Compared with a particle swarm algorithm, the extreme learning machine algorithm has the advantages that the cpu operation time required by calculation is greatly shortened, and the real network deployment requirement can be completely met.
Owner:XI AN JIAOTONG UNIV

Measuring point selection method in analog circuit fault diagnosis

The invention discloses a measuring point selection method in analog circuit fault diagnosis. The method includes the steps that firstly, in a preset tolerance range, fault analog simulation is conducted on a circuit, so that measured data of measuring points of faults are obtained; then, the measuring points are selected through a measuring point selection algorithm based on heuristic mode graph searching, root nodes are initialized firstly and serve as target nodes, all the measuring points in a measuring point set are adopted as successor nodes to expand the target node, simulation data of one measuring point corresponding to each successor node are screened according to data identification, fuzzy groups are divided according to screened address data, the probability of occurrence of the fuzzy groups is obtained, information entropy of each successor node is calculated, the node with the smallest information entropy is selected as the optimal node and deleted from the measuring point set, and the optimal node serves as a target node and is expanded continuously until the information entropy is zero or the measuring point set is empty. According to the method, the measuring points can be preferably selected, so that an optimal measuring point selection scheme is obtained, and fault diagnosis is achieved through fewer measuring points.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Forwarding history-based asynchronous rooting algorithm

The invention provides a forwarding history-based asynchronous rooting algorithm, which belongs to technical field of wireless networks and routing. The routing algorithm comprises the following threeparts: (1) a relay selection algorithm; (2) a packet transmission algorithm; and (3) a routing information updating algorithm. The relay selection algorithm is executed when a node is ready for sending packets or serves as a relay node which receives messages, and the relay selection algorithm selects a better next hop relay for the packets. The packet transmission algorithm is executed when twonodes obtain a communication opportunity, and is used for transmitting the packets. The routing information updating algorithm is executed after the node receives feedback information and is used forupdating a routing information list. The asynchronous rooting algorithm completely solves the routing problems in a wireless self-organization network from an asynchronous point, makes a routing decision intelligently by using history information forwarded in packets, uses part of better nodes as relay nodes carrying the packets, improves the reliability and the validity of the information transfer in a limited network, and greatly reduces the information loss rate and unnecessary information retransmissions.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

SDN-based space-based information network multi-controller efficacy-losing backup method

ActiveCN108075825AFlexible and efficient configurationFlexible and efficient managementRadio transmissionController architectureResource utilization
The invention discloses an SDN-based space-based information network multi-controller efficacy-losing backup method. The method comprises the following steps of constructing an SDN-based space-based information network multi-controller efficacy-losing backup framework; designing an efficacy-losing detecting mechanism; recovering a controller election algorithm based on faults of a Paxos algorithm.The SDN core technology is applied to a space-based information network, and therefore the structure of network equipment is simplified, a satellite just needs to achieve the simple forwarding and hardware configuring functions, and therefore the defect that satellite nodes are complex in design and high in manufacturing cost is overcome. The SDN-based space-based information network can achieveoverall resource distribution and overall optimization, and the resource utilization rate is increased. By adopting the multi-controller framework, the expansibility of the space-based information network can be improved, and therefore the flexible and efficient network configuration and management are achieved. In addition, centralized management has the overall view of all nodes in the whole network, the state of the satellite nodes can be grasped, and the network destroy resistance is improved.
Owner:DALIAN UNIV

Distributed storage system cluster monitoring method and equipment

ActiveCN107360025AGuaranteed stabilityRead and write services are not affectedData switching networksInstabilityComputer science
The application discloses a distributed storage system cluster monitoring method and equipment. The method comprises the following steps: electing a main core monitor node and a standby core monitor node for monitoring a cluster in all monitor nodes through a Paxos algorithm; judging whether the current cluster is in a busy or fault state, if the current cluster is in the busy or fault state, not triggering the re-election, and managing the cluster through the standby core monitor node; and if the current cluster is not in the busy or fault state, triggering the re-election to elect a new main core monitor node and a new standby core monitor node. The main core monitor node and the standby core monitor node are elected through an optimized election algorithm, when the main core monitor node is invalid, the standby core monitor node can quickly replace the main core monitor node to work, thereby guaranteeing the stabilization of the monitor node when the cluster is in the busy or fault condition; and when it is detected that the system is not busy, the election is re-initiated to guarantee the stability of the distributed storage system, thereby reducing the system instability, maintaining the stable and efficient running of the system; and the read-write service of the user cannot be influenced.
Owner:ZHENGZHOU YUNHAI INFORMATION TECH CO LTD

Wireless sensor network clustering method based on initiative avoidance of hotspots and NLOS

The invention discloses a wireless sensor network clustering method based on initiative avoidance of hotspots and NLOS. The wireless sensor network clustering method comprises the following steps that firstly, a network is initialized, secondly, middleware of an upper computer builds a WSN environmental model, thirdly, the middleware of the upper computer analyzes analog information, and fourthly, cluster heads change in an operating period. According to the wireless sensor network clustering method, by means of regulation and control performed by the middleware of the upper computer connected to a base station, the overall life cycle of the WSN is improved and prolonged, and overall expandability and controllability of the network can be enhanced; as nodes in areas which can lead to cavities are bypassed, durability of the covering radius of the network is enhanced, and the hotspot effect is avoided. Besides, the nodes can be added or moved or abandoned randomly, and compared with traditional algorithms, the wireless sensor network clustering method achieves that the expandability is greatly enhanced. As for the wireless sensor network clustering method, most of the traditional algorithms belong to passive cluster head self-election algorithms. In addition, the wireless sensor network clustering method reduces loads of a routing list, simplifies the routing list, and prolongs the overall service life of the network.
Owner:EAST CHINA UNIV OF TECH

Node synchronization method, device and equipment of block chain and storage medium

The invention relates to a block chain technology. The invention provides node synchronization method, device and equipment of a block chain and a storage medium. The method comprises the steps of selecting a main node from nodes in the same organization based on a preset election algorithm; and performing transaction processing on each to-be-verified transaction in the transaction block through the main node, and performing validity marking on each to-be-verified transaction based on a transaction processing result corresponding to the to-be-verified transaction, generating transaction information corresponding to each to-be-verified transaction, and sending the processed transaction information and the transaction block to the standby node, and enabling the standby node to perform transaction information synchronization based on the verification result of the main node, so that each organized node only needs to verify the transaction block once, the network flow of the block chain isgreatly reduced, the performance of the whole block chain network is improved, and computing resources are saved. The information can be stored in the block chain node. Most computing resources can be used for serving the query request, the query request throughput of the whole block chain network is improved, and the request delay is reduced.
Owner:PING AN TECH (SHENZHEN) CO LTD
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