1009 results about "Cognitive network" patented technology

In a network including WAN accelerators and segment-oriented file servers, a method comprises responding to a client request to manipulate a file via a network file protocol by receiving a first request at a first WAN accelerator, wherein the request is a request to open a file located at a file server that is a segment-oriented file server, sending a local request for the file, corresponding to the first request, from the WAN accelerator to the file server, using a segment-aware network request protocol, returning at least a portion of the requested file in the form of a representation of a data map corresponding to the at least a portion of the requested file stored on the file server and using a data map for reconstruction of the requested file.

A technique for a secondary communication system to utilize spectrum designated to another (or primary) communication system is provided. By ranking a plurality of secondary base stations based on base station transmit power, calculated required transmit power and path loss, a set of criteria is developed for selecting a highest ranked secondary base station for operation within a primary's spectrum. The ranking may be adapted based on mobility of the secondary's subscriber; and as such the secondary system communicates within the primary's spectrum using the adaptively ranked base stations. Channel selection may also be ranked. The technique and apparatus allows a cognitive radio (CR) network to operate within an incumbent network's spectrum.

The invention discloses a virtual Internet-of-things gateway system capable of realizing multiprotocol and network self-adapting; and the gateway system uses a virtual Internet-of-things gateway to connect a sensor network with a traditional communication network and realize the protocol conversions of different types of sensor networks, equipment local interconnect and remote control. The invention is characterized in that the virtual Internet-of-things gateway contains a sensing access module in a sensing access layer, a protocol adaptation module and a network element service module which are in a protocol adaptation layer, a thing-connecting service control module in a control layer, and a heterogeneous network access module in a wide area access layer; the entire system adopts the virtual gateway method; the gateway equipment of the virtual Internet-of-things gateway system are arranged and only a plurality of physical interfaces are required to be added without greatly changing the internal circuit structure, thus the various demands of the future network can be satisfied and the development demand of the future Internet of things can be satisfied; and the incompatibility problem of the existing common gateway to the future Internet of things is effective solved, thus the gateway in the virtual gateway system has wide network applicability.

The invention provides a traffic jam avoiding prompting system based on a collective intelligence network. The traffic jam avoiding prompting system consists of a webpage traffic hot spot digging module, a microblog traffic hot spot digging module, a road condition rule predicting module, a jam hot spot verification and management module, a real-time traffic hot spot server, a traveling route planning module based on hot spot avoiding, a traffic hot spot and avoiding route display module and intelligent mobile phone end application software. The traffic jam avoiding prompting system faces the collective intelligence sensing network, is combined with the traditional traffic information sources, carries out digging and prediction on the urban traffic hot spots on the basis of the data activation technology, and further provides the traffic jam hot spot display and avoiding prompt service for intelligent terminal users. The traffic jam avoiding prompting system has the advantages that the data is from the multi-source collective intelligence network, the accuracy is good, the checking comprehensive rate is high, the hot spots are captured and fed back in real time, high efficiency and practicability are realized, the design is good, the operation is stable, the installation is convenient, the traffic jam avoiding prompting system can become a tool capable of providing wide and practical intelligent traffic information for urban residents, and the efficient information prompt is provided for the users to realize the smooth traveling.

Aspects of a method and system for an operating system (OS) virtualization-aware network interface card (NIC) are provided. A NIC may provide direct I/O capabilities for each of a plurality of concurrent guest operating systems (GOSs) in a host system. The NIC may comprise a GOS queue for each of the GOSs, where each GOS queue may comprise a transmit (TX) queue, a receive (RX) queue, and an event queue. The NIC may communicate data with a GOS via a corresponding TX queue and RX queue. The NIC may notify a GOS of events such as down link, up link, packet transmission, and packet reception via the corresponding event queue. The NIC may also support unicast, broadcast, and/or multicast communication between GOSs. The NIC may also validate a buffered address when the address corresponds to one of the GOSs operating in the host system.

A method includes determining, at a first device of a neighbor aware network (NAN), a proximity of the first device to a second device of the NAN. The method further includes determining whether to change a NAN operating mode of the first device based on the proximity.

The invention discloses a thing Internet gateway of a heterogeneous wireless network and a control method thereof. Function, such as protocol conversion, route selection, data exchange and the like, is provided in the network interworking process of different structures or protocols of the thing Internet. The gateway is a multi-layer cascading gateway and comprises a main gateway used for communication, sensor network management and topology management, and sub-gateways responsible for converting and penetrating a short-range wireless protocol and receiving front-end sensing network data, wherein each of the sub-gateways is connected with the main gateway. The limitation to the access ability of a sensor network is overcome, so that various front-end sensing nodes access a thing Internet platform without barriers; free networking of the sensor network front end is realized by taking full advantage of the conventional communication capacity and cascading gateway technology at the same time; the problems of the failure management and performance management of the sensor network front end are effectively solved; and the safety, the reliability and the stability of the sensor network and neurones are enhanced.

The invention discloses a network security perception system comprising multiple probes respectively deployed on switches or routers of monitoring network areas and used for dynamically obtaining mirror image traffic of the respective monitoring network areas, collecting specific traffic information from the mirror image traffic, and uploading the collected mirror image traffic to an analysis platform through an encrypted communication channel; the analysis platform used for dynamically receiving the traffic information uploaded by the probes, performing multi-dimensional correlation analysisto identify the security threats in the entire network, and displaying an analysis result in a visible manner. The invention further discloses an implementation method of the network security perception system and a computer storage medium. The network security perception system provided by the invention can monitor the entire network in mesh network form in all directions, perceive the potentialsecurity threats in the network and protect the information security in the entire network.

The invention provides a frequency spectrum access method using communication of a selected idle authorized channel in a cognitive radio network. The method comprises the following steps: periodically perceiving a plurality of authorized channels and recording channel states which comprise a busy/idle state, utilization rate and waiting time by using each secondary (non-authorized) user in the cognitive radio network; and interacting control frames by the secondary users at transceiving two ends, calculating the maximum time that the secondary users can be accessed to the idle channels according to the utilization rate of the idle channels in the current network, selecting the idle authorized channel capable of transmitting maximum traffic, and performing communication between the secondary users on the selected channel. The method can solve the problems of a 'hidden' terminal and an 'exposed' terminal at the same time.

The invention relates to a sensor network multi-protocol gateway, which comprises receiving subnet gateways corresponding to front-end sense networks, a front-end sense network management main gateway, and a topology management gateway, wherein the receiving subnet gateways are used for networking through searching different front end structures or protocol network node signals in a multi-protocol network manner so as to establish the front-end sense networks, and realizing communication between the same network nodes through route selection; the front-end sense network management main gateway is respectively connected with the receiving subnet gateways, and is used for distributing routing information for the receiving subnet gateways, and forming a multi-path network for maintaining a routing relation between the receiving subnet gateways so as to establish communication between the front-end sense networks; and the topology management gateway is used for establishing communication between the front-end sense networks and rear-end equipment or network. The gateway realizes the efficacy of data receiving of a multiple network protocol and network routing of a multi-type heterogeneous network, and overcomes the limitation of access capability of the front-end sense networks in the prior art, so that the front-end sense networks are mutually connected and communicated.

The invention discloses an IOT (Internet of things) sensing family cloud platform system which comprises an IOT sensing family cloud platform and a family sensing network which are connected by a network. The family sensing network comprises various family sensing equipment, a plurality of access adapters and a family IOT intelligent terminal which are networked by a wireless transmission module with an intelligent self-networking function; the family IOT intelligent terminal is used for connecting the IOT sensing family cloud platform with the family sensing network as a gateway; and the IOT sensing family cloud platform comprises a platform system infrastructure, an operation management system, a family sensing network cloud space, an operator/service provider cloud space and a system supporting cloud space. The system integrates the family sensing network with the IOT sensing family cloud platform by utilizing a software/hardware integrated assembly technology to form an integrated distributed service system structure and a sensing family system which can be interconnected, is easy to expand, has diversified services and can provide the high-quality services is constructed.

The invention relates to a power control optimization algorithm in a cognitive radio network, which belongs to the field of system resource allocation. The algorithm comprises the following steps: 1, initializing the iteration number of the algorithm, the positions and speed of particles and the basic parameters of the particle swarm; 2, calculating a fitness function value, setting the position Xa of an individual particle as the initial best position, and setting the particle with the best function value in the swarm as the initial best swarm position Gbestk; 3, searching based on a PSO algorithm, updating the best positions of the particles and the swarm and updating the speed and positions of the particles by using a fundamental formula of the particle swarm; and 4, setting a termination standard. The invention conducts study on the non-convex optimization problem controlled by the cognitive radio power and puts forward an improved particle swarm-based power control algorithm which allows utility functions such as an S-type function a convex function and the like to be non-concave, thereby conforming to the actual network better. Parameter adjustment is performed by the particle swarm algorithm to guarantee the global astringency of the algorithm. The algorithm of the invention has better validity and rapidity.

The invention provides a method for allocating cross-layer adaptive parallel channels of a cognitive radio system. The method includes steps that a base station receives channel requests of each unauthorized subscriber SU in an uplink time slot analyzes the channel request information, and allocates available channel resources adaptively on the premise that SU do not disturb each other and do not disturb patchusers PU. The invention adopts the method of dividing uplink and downlink time slots of time division duplexing TDD, analyzing the signal noise ratio information of available channel resources by the base station, adopts transmission set portion, channel parallel allocation, adaptive adjustment of the optimized channel, maximizing transmission efficiency and determining optimum transmission modes for each SU, provides optimum channel resources, and utilizes SU to monitor presence of PU in real time, reduces interference at the lowest to the PU, improves capacity of radio cognitive networks and channel utilization.

The invention provides a router for sensing a bearing state and a service flow bandwidth distribution method thereof. The method comprises: a bandwidth distribution strategy generation step for all services; to be specific, collecting bearing state information of a router and quality of service (QoS) demand information of a service flow, employing bandwidth distribution algorithm that is provided based on a cognitive network technology to carry out analyzing and processing on the collected data, and integrating a plurality of set rules and using difference of QoS demands of various service flows for reference to generate a bandwidth distribution strategy for all the services; and a step for distributing bandwidths for all the service flows; to be specific, mapping the strategy into an operation instruction that can be identified by the router according to a requirement of configuration strategy and executing the operation to change router queue management so as to carry out bandwidth distribution on the service flows. According to the invention, the cognitive network technology is utilized to realize sensing of a network bearing state and a service flow state, so that network bandwidth distribution can fully consider a dynamic changing characteristic of the network to enable the distribution mode to become reasonable.

The invention discloses a multi-path load balancing method based on the price mechanism for an industrial real-time network. The method specifically comprises the following steps: an RYU control sendsa data packet to sense an overall network topology; real-time bandwidth and delay monitoring is carried out through the OpenFlow protocol; k shortest paths from feasible paths are calculated throughthe KSP algorithm and used as candidate path; link evaluation is carried out on the k candidate paths, the candidate path with the optimum current link status serves as a forwarding path, and the candidate path with the second optimum current link status serves as a reserved path; the RYU controller sends a forwarding strategy for a current network flow to flow tables of corresponding switches; and the RYU controller carries out real-time link status monitoring, and when a link utilization rate is larger than a threshold, reselects the optimum path other than the current path for rerouting andsends the flow tables to the switches. The method provided by the invention has the advantages that the network resource utilization rate can be improved, and network congestion can be reduced; and an SDN controller is used for whole network monitoring on a data center, and the forwarding path is selected according to current real-time network conditions, so that dynamic multi-path load balancingcan be achieved.

The invention discloses an internet-of-things gateway and a medical monitoring system comprising the same. The gateway comprises a sensing network access unit, a protocol conversion unit and a communication network access unit, wherein the sensing network access unit is used for receiving sensing data input by sensing equipment; the protocol conversion unit is used for analyzing the sensing data, calling a data adapting protocol according to an analysis result, coding the data subjected to secondary analysis by using a ubliquitous machine to machine protocol (UMMP) after performing secondary coding on the sensing data according to the data adapting protocol and outputting the coded sensing data to the communication network access unit; and the communication network access unit is used for selecting an access mode of the data and outputting the coded sensing data to the internet-of-things management platform in the access mode. The system has wide access capability and strong protocol conversion capability, so that the medical monitoring system comprising the internet-of-things gateway can be connected with the medical monitoring equipment supporting an international medical standard protocol to realize comprehensive monitoring on a patient.

A spectrum sensing method for cognitive radio to detect spectrum holes in an environment of bandwidth scarcity. The method comprises first receiving a wireless signal at a cognitive radio user, and then discovering the frequency edges of allocated frequency bands by using wavelet transform coefficients to detect discontinuities in the power spectral density of the received signal. After determining the allocated frequency bands, the method determines frequency band availability by detecting the in band energy using a bi-threshold energy detector, where the energy detector makes hard decisions and soft decisions. Finally, a fusion center combines hard and soft decisions collected from a cooperative spectrum sensing network of cognitive radio users and makes a final decision using a hybrid of data fusion and decision fusion to determine the final decision regarding spectrum availability.

An operational mechanism enables extending the range of cognitive networks through the use of repeater transceivers and selective routing.

This invention relates to a method for controlling location distribution of sensing nodes, selection of sensing nodes, control of sensing implementation and process of performing spectrum sensing in cognitive radio networks of open wireless architecture (OWA) systems. Specifically, the invention relates to an efficient and reliable method minimizing time overhead consumed during spectrum sensing with open wireless architecture (OWA).

The invention discloses a self-adaptation compression reconstruction method based on energy effectiveness observation in a cognitive sensor network. The self-adaptation compression reconstruction method based on the energy effectiveness observation in the cognitive sensor network comprises the steps that (1) a node carries out local detection and compression measurement on data which are actually sensed through an analog transcriber according to the characteristic that power consumption of the node of a cognitive sensor is limited, (2) a space-time relevance structure of sensing signals is used, sensing data are mapped to a wavelet orthogonal basis cascading dictionary to carry out sparse conversion and to carry out self-adaptation observation through a weighting energy subset function, appropriate observation values are obtained in an energy effectiveness mode, orthogonalization is carried out on selected observation vectors to construct a measurement matrix, (3) the sensing data after compression measurement are fed back to an aggregation node through a report channel, the aggregation node carries out self-adaptation reconstruction on the sensing data by using a gradient projection sparse reconstruction Barzilai-Borwein method based on a convex relaxation method, and effective compromise between reconstruction performance and energy consumption of the node is achieved. The self-adaptation compression reconstruction method based on the energy effectiveness observation in the cognitive sensor network can carry out accurate reconstruction on the sensing signals, ensures energy effectiveness of the sensing node, and has actual application significance.