78 results about "Cognitive wireless sensor networks" patented technology

Two-way (full-duplex) wireless links in facilitating network management and improve network performance. Once aspect includes methods for network management using an overlaid network for control signaling. Another aspects include methods to facilitate practical realization and improve performance of some of the network information theoretic configurations, such as Space-Division Multiple Access (SDMA) in uplink and downlink, Interference Channel, and other forms of distributed collaborative signaling schemes. Another aspect includes methods to support cognitive wireless networks.

The invention provides a coal mine down-hole fire monitoring system based on a wireless sensor network. The system comprises a monitoring host, a communication master station and the wireless sensor network, wherein the wireless sensor network communicates with the monitoring host through the communication master station, is a ZigBee wireless self-organized network and comprises a wireless sensorand a wireless gateway; and the wireless sensor is used for acquiring coal mine safety data and wirelessly transmitting the coal mine safety data and comprises a wireless carbon monoxide sensor, a wireless wind pressure sensor and a wireless temperature sensor. Therefore, according to the coal mine down-hole fire monitoring system based on the wireless sensor network provided by the embodiment ofthe invention, coal mine down-hole fire conditions can be timely and accurately monitored, the energy consumption of a wireless sensor network node can be effectively controlled, and the service lifeof the wireless sensor network can be prolonged.

The invention relates to a cognitive wireless network system with a cognitive radio function and a method for transmitting cognitive streams thereof. Base stations or wireless access points and terminals of the cognitive wireless network are all additionally provided with corresponding functional entities at a physical layer, a radio link layer and a high layer through a layering protocol stack, a centralized physical transmission channel and a distributed physical transmission channel are respectively established, based on a general control channel of the cognitive streams, data and parameters obtained by cognitive nodes through a physical channel are unifiedly represented as information which can be processed by the functional entities for intelligence reasoning and decision-making in the wireless system, and efficient, integral and reliable transmission scheme for cognitive information is realized by joint processing of the functional entities and the channels to lay a foundation for intelligent decision-making and dynamic reconfiguration inside the cognitive nodes in a network. In the invention, as a layering realization mechanism is adopted, the cognitive wireless network system can be flexibly adapted to changes of the network structure and the wireless environment; in addition, the cognitive wireless network system disclosed by the invention is highly compatible with the existing wireless protocol structure, thus having good popularization and application prospects.

The invention discloses a method for spectrum allocation in a distributed cognitive wireless sensor network on the basis of Q study. The average throughput and the average energy efficiency ratio of the maximized distributed cognitive wireless sensor network are taken as objects, nodes in the cognitive wireless sensor network study from one another according to peripheral authorization frequency spectrum state change and allocation strategies of other nodes and finally adapt, the process is mapped into a distributed multi-agent Q study process, and the best spectrum allocation strategy is approximated by executing the best response Q study iterative algorithm in a timing sequence alternation mechanism. The method has the characteristics that the convergence speed is high, the calculation complexity is low, and the average throughput and the average energy efficiency ratio of the cognitive wireless sensor network are improved.

The invention provides a clustering frequency spectrum perception method based on energy consumption in a cognitive sensor network. In the method, an LEACH clustering algorithm based on node energy is introduced. Firstly, the each node in the cognitive sensor network is divided into several clusters according to the clustering algorithm. Then, in the each cluster, a utility function, which can taken detection performance and energy consumption into consideration, is constructed. Based on the utility function, an optimum cooperation user number and a user are selected so that the detection performance and the energy consumption can reach a good compromise in the each cluster. Finally, an OR rule is used on a sink node so as to fuse perception information sent by a cluster head and then a final decision result can be obtained. By using the method of the invention, survival time of the cognitive sensor network can be effectively prolonged. Energy consumption of the network can be saved and the good detection performance can be guaranteed.

The invention relates to an event driven based clustering routing method in a cognitive radio sensor network, belonging to the technical field of wireless sensor networks. According to the method, cognitive nodes and source sensing nodes in the network are separated, the source sensing nodes are no longer responsible for a spectrum sensing function and are only responsible for source sensing, and the cognitive nodes are responsible for spectrum sensing; the cognitive nodes and the source sensing nodes make up a clustering topological structure, and one cognitive node serves as a cluster head and is responsible for establishing a cluster structure, collecting data of members in the cluster, fusing the data and then sending the fused data to a converging point; and the source sensing nodes and other cognitive nodes are members in the cluster, and the cognitive nodes and the source sensing nodes work separately and coordinately in tight combination. Through adoption of the event driven based clustering routing method in the cognitive radio sensor network, the contradiction between extra energy consumption and processing requirements brought by the cognitive function and limited resource of the sensor node is solved, and the contradiction between realization of the cognitive radio sensor network (CRSN) at high cost and the low cost realization requirement is resolved.

The invention provides a method for cross layer resource distribution and grouped dispatch in a cognitive wireless network, which belongs to the technical field of wireless communication. In the method, the following factors are integrally considered: the service priority level of each user in the cognitive wireless network; the line length in a buffer pool formed by sub users waiting for the frequency spectrum distribution and the grouping time-out condition; the minimum speed requirement of the users; and information of the emitting power upper limit of a cognitive wireless base station and the like. The cross layer configuration can be carried out on the parameters of media access control (MAC) layers and physical layers of user sub carrier distribution, dynamic modulation modes, multi-user grouped data service sequence, power and bit distribution and the like according to an improved cross generation elitism selection heterogeneous recombinant cataclysmic mutation resource management (CHCRM) algorithm, and the cross layer integral optimization on the cognitive wireless network is realized. The average time delay of a system is reduced, and the system packet loss is reduced.

The invention provides a single antenna multichannel cognitive wireless sensor network route control method which is cross-layer optimized and aims at a cognitive wireless sensor network with single collecting nodes, single antenna and multichannel. According to the single antenna multichannel cognitive wireless sensor network route control method, route characteristic number concepts are defined, a multichannel half-holding phone mechanism is designed; a plurality of local routes are generated by utilizing channel priority of data transmission full paths and weighting and minimum of consumption of node collecting and sending as optimization indicators, the routes are saved in a route table of each node according to a combination manner of a channel or a node, the whole network route optimization is achieved by distributed routing algorithm, protocol pay expenses are reduced, network robustness is improved, and utilizing of opportunistic spectrum resources is convenient. Channel switching in data transmission is reduced due to application of the multichannel half-holding phone mechanism. According to testing results, quality of service (QoS) is supported by a routing protocol of the single antenna multichannel cognitive wireless sensor network route control method under the condition that the opportunistic spectrum resources and limiting of node consumption are utilized. Under the condition that node consumption is limited, communication delay and packet loss rate are reduced.

The invention relates to wireless network security, particularly to a multi-user reinforcement learning-based cognitive wireless network anti-hostile interference method. Cognitive source nodes adopt a multi-user reinforcement learning strategy to automatically select transmitted power by observation of status information of a master user working condition, self-adaptive jammer transmitted power and the like. Learning of multiple cognitive source nodes is performed at the same time, and each time transmission of a data packet is finished, according to obtained immediate returned report and a state of the next moment, an update state, a behavior and a mapping relation, and according to feedback information, the learning rate of the multi-user reinforcement learning algorithm is replaced, thereby improving the signal to interference ratio of a receiving end, and finally obtaining the optimal transmitted power. Each cognitive source node can assist forwarding of the data packet or transmit data by itself. The method utilizes a multi-user reinforcement learning mechanism, and through a method of attempting and comparison, improves communication efficiency of a cognitive wireless network in a scene of an intelligent hostile jammer.

Provided is a node-disjoint multipath routing method in a cognitive wireless sensor network. In the process of establishing the routing, a routing request packet records node available channel information; a node receiving a packet sends back a routing reply packet; a link spectrum utility value is known according to a message unit in the routing reply packet; and the spectrum utility value and a set spectrum utility threshold value are compared for the selection of a next hop node. If propagation paths in two routing request packets are only intersected with each other, a second selection is performed according to average spectrum utility of the propagation paths in the routing request. With the routing method, routing selection and channel selection are combined with the spectrum utility together, and each path has no shared node except a source node and a destination node, and thus, conflict is reduced, stability of the routing is greatly improved, and the routing method is widely used in multi-channel distributed cognitive wireless sensor networks.

The invention relates to the technical field of information and communications and provides a local flow forwarding method of a centralized wireless sensor network. In the technical scheme adopted by the invention, the flow of the wireless sensor network is classified into data flow and control flow; the control flow of the sensor network carries the control signaling of the wireless sensor network; the data flow of the sensor network carries the monitoring information acquired by a sensor; all the control flow of the sensor network is conveyed via a DTLS (datagram transport layer security) tunnel between a wireless sensor access point and a sensor gateway controller; and the data flow of the sensor network is directly forwarded by the wireless sensor access point locally, without being firstly conveyed to the sensor gateway controller via the tunnel. By utilizing the method provided by the invention, the large-scale wireless sensor network can have convenience in centralized control and solve the problem of transmission bottleneck.

The invention discloses a life optimization method for retransmission-aware clustered wireless sensor networks. The method comprises steps as follows: preliminarily deploying clustered wireless sensor networks according to a model; establishing an energy consumption model for wireless sensor nodes; establishing a retransmission model for the clustered wireless sensor networks; establishing an energy consumption model for the retransmission-aware clustered wireless sensor networks; establishing a transmission success probability calculation model for the retransmission-aware clustered wireless sensor networks; establishing a life optimization model for the clustered wireless sensor networks under the evenly deployed condition and performing solving. According to the method, the purpose is energy-consumption-aware network life maximization, constraint conditions comprise network connectivity, coverage and the data transmission success probability, the life optimization model for the retransmission-aware clustered wireless sensor networks is established, distances among wireless sensors and the number of deployment layers of the wireless sensors are optimized with a genetic algorithm, and problems that the energy consumption is excessively high, the coverage rate is insufficient, the data transmission success probability is not high and the like are solved.

The invention discloses a cognitive wireless sensor network spectrum access method based on deep Q learning. The cognitive wireless sensor network spectrum access method comprises the following steps:step 1, constructing a Q neural network: selecting a training sample to update a weight parameter of the Q neural network by taking the state values of all channels of a t-2 time slot as an input layer and taking the q values of all channels of a t-1 time slot as an output layer; obtaining an experience sample before the t-1 time slot, calculating the priority, summing the arrangement of the binary tree according to the priority accumulation, and performing sampling to obtain a training sample; step 2, taking the state values of all channels of the t-1 time slot as an input layer, inputting the state values into a Q neural network to obtain q values of all channels of the t time slot, and selecting a channel corresponding to the maximum q value; and step 3, sensing the channel energy, accessing if the state value is idle, and not accessing if the state value is busy. The method has the beneficial effects that the energy consumption is low, the convergence speed is high, the diversityloss of experience samples is avoided, the overfitting phenomenon is avoided, and the prediction accuracy is high.

The invention relates to a scheduling method for guaranteeing real-time transmission of wireless sensor network information. The scheduling method comprises the following steps: 1) prioritizing data received by sensor nodes according to a wireless sensor network application environment and a monitoring object; 2) prioritizing buffer zone queues of wireless sensor nodes with routing functions according to the prioritization; 3) configuring corresponding parameters of an L-RQS (LCFS-based Real-time Queue Scheduling) algorithm and determining the initial values of the parameters; 4) building a wireless sensor network and initializing the network for enabling sensors to normally work; 5) when the sensor nodes receive data packets, performing a corresponding operation according to a state of a current queue and the priority of the data packets by a buffer zone management algorithm in L-RQS; 6) selecting a corresponding data packet for scheduling and setting a state of a high-priority queue according to the number of continuously transmitted high-priority data packets or waiting time by a queue scheduling algorithm in L-RQS; 7) when finishing the scheduling of the corresponding data packet at a time, selecting the state according to the number of the data packets in the queue by a scheduler. The scheduling method is used in the field of an application of the wireless sensor network with higher real-time requirement.

The invention relates to a petroleum and chemical equipment leakage monitoring system based on wireless sensor network (WSN), comprising a monitoring centre, a wireless sensor network and a local area network (LAN), wherein the wireless sensor network is formed by the connection of a remote control terminal, a plurality of wireless sensors disposed in a monitoring area and easy to generate leakage parts and a personnel computer (PC) machine; the PC machine and the monitoring centre are both connected to the LAN. The design of the invention is reasonable; the leakage detection function to petroleum and chemical equipment is realized in a manner of combining the wireless sensor network with the monitoring centre; the system can perform warning processes to site accidents, as well as supplies a reliable basis for processing leakage accidents in time; the safe running of production is ensured and the automatic level of production management is improved.

The invention provides a method and system for managing a wireless sensor node. The method comprises the following steps: the wireless sensor node sends a registration request to a gateway in the event of being accessed in a wireless sensor network; and the gateway establishes registration information and parameters related to security, management and service for the wireless sensor node. By means of the method and system disclosed by the invention, parameters of the wireless sensor node can be configured by the gateway; the normal operation of the wireless sensor network service is ensured; security parameters of the gateway can be configured through a telecommunication network so as to well ensure the security of the gateway for configuring and networking the wireless sensor network subsequently.

The invention relates to a clustering-based multi-hop multi-channel cognitive wireless sensor network communication method. In the method, the frame structure of a node is designed into a segmental structure, and a work period of the node is divided into a channel cognition and selection stage, a channel allocation stage, a data transmission stage and a dormant stage. According to the invention, a media access criteria is designed for the node in each cluster to provide intra-cluster uncontested communication, and at the same time, in order to alleviate problems, such as hidden terminals, etc., with inter-cluster communications, on the basis of the media access criteria, an assignment process in which channel weighing is performed according to the channel state is designed, and in order to better reduce the energy consumption, a channel selection criteria is further designed. The method of the invention can be used to realize advantages of high network throughput, low time delay and low packet loss rate on the basis of reducing the data packet transmission capacity, and is suitable for the spectrum access and spectrum switching strategy in a cognitive wireless sensor network.

The invention discloses a cognitive wireless sensor network MAC (media access control) implementing method in combination of power control, belonging to the technical field of wireless sensors. In the cognitive wireless sensor network MAC implementing method in combination of the power control, selection of a data channel is negotiated on a control channel through a pair of nodes of data to be transmitted, and in a channel selecting process, 1 / 2 maximum radius coverage including sending end conflict detection and receiving end conflict detection is combined with the conflict detection to implement the MAC. By the cognitive wireless sensor network MAC implementing method in combination of the power control, energy consumption can be effectively saved; the lifetime of the network can be prolonged; and the throughput of the network can be increased by increasing concurrent transmission amount. The cognitive wireless sensor network MAC implementing method aims to make each pair of communication nodes realize communication at a required minimum power.

The invention discloses a single-antenna MAC transmission method based on network characteristic in cognitive wireless sensor network. The single-antenna MAC transmission method comprises the steps of performing user-permission competition treatment to wireless sensor nodes of all users on a control channel of the CRSN (cognitive radio sensor network) to acquire a data channel to be used; gradually transmitting data packets to be sent by the data channel to be used according to data transmission unit one by one; and starting inside data channel timer by wireless sensor nodes of the sending end and receiving end of the data packet to be sent, and returning to the first step to re-send the left data packets until all data packets are sent. According to the single-antenna MAC transmission method, enables the wireless sensor node realizes the improvement of the performances of handling capacity and average transmission time delay in a con-existing network with the master user.

The invention discloses a multi-relay and multi-antenna-based cognitive wireless sensor network performance optimization method. According to the method, a cognitive wireless sensor network system model with multiple antennas and multiple relays is adopted; multi-relay cooperative cognition, relay selection and beamforming technologies are adopted, and therefore, the throughput of a cognitive wireless sensor network system can be improved, and at the same time, the interruption probability of the system can be decreased. With the method adopted, the accuracy of sensing results of the cognitive wireless sensor network system and high spectrum utilization rate can be ensured, the throughput of the whole system can be reduced, and at the same time, the interruption probability of the overall system can be reduced.

The invention provides a cognitive wireless sensor network spectrum detection method based on node information, namely, a method for efficiently detecting spectrum through a proposed chunking algorithm and a twice-detection mechanism based on sensor node geographical information, so as to improve the detection performance of a CRSN system and improve the energy efficiency of the system. The specific scheme of the invention comprises the following steps: a primary detection mode pre-embedding scheme is designed, and a monitoring area is partitioned based on node geographical location information; a PU (Primary User) is quickly perceived through primary detection, and whether a SU (Secondary User) can quickly access a channel or whether the system needs to enter a secondary detection process can be judged; a FC (Fusion Center) calculates a secondary detection area, the PU is perceived by a more reliable detection method during secondary detection; and data is fused and the state of the PU is judged in order to determine whether the SU can access a channel. By adopting the method of the invention, the detection accuracy and high performance of CRSN can be ensured, and the energy consumption of the network can be reduced.

The invention discloses a joint resource allocation method of a cognitive relay wireless sensor network, and belongs to the technical field of wireless communication. In the cognitive relay wireless sensor network based on the SWIPT, a sensor subsystem collects energy from a main user signal, and at the same time, the use right of a part of authorized frequency spectrum is exchanged by helping toforward the main user signal so as to transmit a signal of the sensor subsystem. According to the resource allocation method, the power division ratio, the transmitting power allocation and the subcarrier allocation of the sensor nodes are subjected to joint optimization allocation, so that the purpose of maximizing the throughput of the sensor subsystem is achieved, and meanwhile, the target raterequirement of the main system is also considered. The method has the advantages that the throughput of the sensor subsystem can be maximized by reasonably utilizing the energy collected by the sensor nodes and reasonably deploying the subcarriers, so that the system performance is improved.

The invention relates to a decoding forward collaboration-based simultaneous wireless information and power transfer method in a cognitive sensor network. In the method, a source sensor node sends information to a relay sensor node, the relay sensor node segments a received signal by using a power segmentation factor, one part of the signal is used for energy collection and the left part is used for information receiving, and the relay sensor node decodes and forwards the information of the source sensor node to a target sensor node by using all energy E received by the relay sensor node. Themethod fully considers interference of the master user on the cognitive sensor node, so that the performance of the cognitive sensor network can be acquired accurately, further, a sending power of thesource sensor node and a power segmentation factor optimal value of the relay sensor node can be acquired rapidly through a two-step decomposition method.

The invention provides a wireless sensor network routing protocol based on a mobile sink node and ant colony optimization. The mobile sink node is placed on the edge of a sensing area of the wireless sensor network; the sensing area of the wireless sensor network is divided into a plurality of equal parts and each part is a cluster set; a cluster head is determined in each cluster set, other wireless sensor nodes in the cluster set send information to the cluster head, and the cluster head integrates the information in the cluster set; and the mobile sink node finds the optimum path of accessing each cluster head according to the ant colony optimization and then accesses each cluster head in sequence. According to the protocol, the problems of energy holes, non-uniform cluster head distribution and network delay in the prior art are overcome, network traffic loads are mitigated, and a life cycle of the wireless sensor network is greatly prolonged.

The invention discloses a spectrum sensing and information transmission method with energy collection in a cognitive wireless network, comprising the following steps that: a cognitive user utilizes signals from a main user transmitter for spectrum sensing and energy collection, and uses the collected energy for information transmission; in detecting the main user phase, the cognitive user and N cognitive relays jointly detect whether the main user occupies the spectrum; in the reporting phase, the cognitive user activates the energy collection or information fusion function according to whether it detects that the main user is occupying the spectrum; and in the information transmission phase, the cognitive user performs energy collection or information transmission according to the spectrum sensing final decision result. The invention provides working energy for cognitive users, prolongs the service life of cognitive users, and reduces or eliminates periodic battery replacement while obtaining high spectrum sensing performance.

The invention discloses a clustering cooperative spectrum sensing hard fusion method for a cognitive wireless sensor network. All cognitive sensing nodes are clustered firstly, a cluster head of each cluster is selected, the cognitive sensing nodes achieve spectrum sensing according to the signal energy of a master user, local spectrum sensing information is acquired, then first-time fusion is carried out on all the local spectrum sensing information in the clusters through the cluster heads, the spectrum sensing information of the corresponding cluster is acquired, and finally fusion is carried out on the spectrum sensing information of all the clusters through a fusion center to obtain the final spectrum sensing information. Through cluster head screening and two times of fusion, the computation burden of the fusion center is reduced, and the effect of fast judging whether frequency spectrum is free or not and improving the correct probability of detection is achieved.

The invention discloses a wireless sensor network-based route establishing method and a wireless sensor network-based route establishing device, and is used for solving the problem that related information of the MSN in the current area cannot be acquired in real time, so a Microsoft service network (MSN) is moved to a new area currently before a route is successfully established or when the route is just established to cause a condition that data cannot be routed to the MSN during data transmission on the established route in the route establishing method in the prior art. The method comprises the following steps of: determining a first wireless sensor node corresponding to a signal which is detected by a mobile terminal currently and has the signal intensity greater than the preset intensity threshold value; determining a second wireless sensor node capable of establishing a route with the mobile terminal currently according to the first wireless sensor node and the current network topology information of the mobile terminal in the wireless sensor network; and establishing the route between the mobile terminal and the second wireless sensor node.

The invention relates to a wireless communication technology, provides a clustering routing method based on a cognitive wireless sensor network, and the clustering routing method comprises the following steps: dynamic spectrum sensing clustering: clustering nodes in the range of the cognitive wireless sensor network by adopting a hierarchical clustering algorithm in combination with available channels and distances among the nodes obtained by spectrum sensing, and constructing a clustering topological structure; triggering data routing by an event, and forwarding the data triggered by each region of the cognitive wireless sensor network to a sink node in an intra-cluster sink and inter-cluster relay alternate iteration mode according to the constructed clustering topological structure; andadaptive re-clustering based on frequency spectrum change and communication service quality: triggering the cognitive wireless sensor network to perform adaptive re-clustering based on available channel change caused by PU behavior change of a main user or interference of poor clustering effect on the communication service quality. According to the invention, the spectrum utilization rate and theenergy efficiency of the network can be effectively improved while the network monitoring period is prolonged.

A heterogeneous cognitive wireless sensor network clustering routing method relates to the technical field of wireless sensor networks, solves the problems of high energy consumption, short network life cycle, spectrum resource shortage and hardware condition limitation of a wireless sensor network, and comprises the following steps: randomly deploying cognitive nodes and common nodes; judging whether the residual energy of the cognitive node is greater than Emax, if so, forming a cluster head, otherwise, judging whether the residual energy of the cognitive node is less than Emin, if not, exiting, otherwise, randomly selecting a number between [0, 1], comparing the number with the cluster head selection probability, if so, exiting, and otherwise, forming the cluster head; and the non-cluster head node selecting the cluster head to enter the cluster according to the energy magnification times under the free transmission mode and the multipath transmission mode, the distance from the non-cluster head node to the base station and the distance from the non-cluster head node to the cluster head, and determining the cluster head selection probability according to the number of spare channels and the marginal degree. According to the invention, the network energy consumption is reduced, the network life cycle is prolonged, the frequency spectrum shortage is relieved, and the problem of high hardware requirement is avoided.

The invention discloses a cognitive wireless sensor network MAC (media access control) implementing method in combination of power control, belonging to the technical field of wireless sensors. In the cognitive wireless sensor network MAC implementing method in combination of the power control, selection of a data channel is negotiated on a control channel through a pair of nodes of data to be transmitted, and in a channel selecting process, 1 / 2 maximum radius coverage including sending end conflict detection and receiving end conflict detection is combined with the conflict detection to implement the MAC. By the cognitive wireless sensor network MAC implementing method in combination of the power control, energy consumption can be effectively saved; the lifetime of the network can be prolonged; and the throughput of the network can be increased by increasing concurrent transmission amount. The cognitive wireless sensor network MAC implementing method aims to make each pair of communication nodes realize communication at a required minimum power.