42 results about "Underwater wireless sensor networks" patented technology

The invention discloses a cluster head election method of an improved LEACH algorithm and an improved LEACH routing protocol method, belongs to the technical field of routing soft security of an underwater wireless sensor network, and particularly relates to a cluster head election process of the underwater wireless sensor network. The problems that an existing cluster-based routing protocol neglects the security problem and the security of a cluster head election process is relatively low are solved; the method comprises the following steps that: each node updates own mse according to a trust evaluation result of an aggregation node on the node; calculating a cluster head election threshold value by using an improved cluster head election threshold value function Timp (n) based on the number of times that each node serves as a cluster head node, a priori determined cluster head node proportion and mse; each node compares a random number generated by the node with the cluster head election threshold; and if the random number is smaller than the cluster head election threshold, the node becomes a cluster head node of the current large period. The cluster head election method for improving the LEACH algorithm and the method for improving the LEACH routing protocol are suitable for providing a cluster-based routing protocol.

The invention discloses an underwater acoustic intelligent spectrum sensing method fusing multi-modal data and application, and belongs to the technical field of ocean Internet of Things. The method comprises the following steps: firstly, constructing an underwater wireless sensor network model, obtaining a multi-modal database of underwater acoustic signals, and obtaining picture data in a frequency domain through wavelet transform after a system obtains time sequence data of the underwater acoustic signals; secondly, extracting high-quality features of the time series data through an unsupervised learning denoising auto-encoder; and finally, a Mu-YOLO perceptron of a parallel double BackBone fusion multi-modal technology is constructed, and one BackBone takes DSC module depth separable convolution as a main part to capture key time characteristics. And the other BackBone captures key spatial features by taking CSPDarknet as a main part, and realizes high-precision spectrum sensing by fusing diversified and multi-layer features of multi-modal data.

The invention relates to an underwater wireless sensor network path sensing routing method based on deep reinforcement learning, which comprises the following steps that: firstly, a node constructs and periodically updates a transmission preference model based on local and neighbor node interaction information; secondly, deploying a deep reinforcement learning model at each underwater sensor node to perform distributed routing strategy learning; and finally, generating a global guide vector by the sink node according to the routing path information of the received data packet, reversely spreading the global guide vector to the source node, fusing the global guide vector with a local transmission preference vector of the node to generate a guide reward, optimizing the deep reinforcement learning model, and updating a routing strategy. According to the method, the problems of difference and complexity of underwater transmission tasks can be solved, and the network data transmission efficiency and the overall service quality are improved in combination with local preference and global guidance while the node online learning is kept to adapt to the dynamic underwater environment.

The invention relates to a service-driven underwater wireless sensor network composite routing agent, which comprises a routing function module and a plugging platform, and is characterized in that the routing function module comprises a reinforcement learning routing component and a plurality of functional components; the routing component obtains an optimal transmission path according to an optimization target in a limited range during data transmission; the plurality of functional components are used for supporting data transmission requirements of different services; the plug-in platform generates a service QoS field according to the service demand, wherein the service QoS field has a mapping relationship with the plurality of functional components; and the routing function module selects and matches at least one function component from a plurality of function components according to the mapping relationship and the value of the service QoS field, and is used for correspondingly processing data and / or a next hop node set during data acquisition or data receiving or data sending. The function component is configured based on service requirements, and the forwarding capability can be dynamically output according to services in the underwater wireless sensor network.

The invention discloses a three-dimensional underwater target tracking method based on improved particle filtering, which belongs to the technical field of underwater wireless sensor networks, and comprises the following steps: collecting three-dimensional target tracking data of an underwater target; constructing a target tracking model and a measurement model according to the three-dimensional target tracking data; the method comprises the following steps: improving a particle filtering algorithm based on unscented Kalman filtering, constructing an importance density function based on the improved particle filtering algorithm, a target tracking model and a measurement model, and re-sampling particles; a dynamic adaptive hierarchical weight factor is introduced to correct different particle weights, and normalization processing is performed on the corrected particle weights; performing anomaly detection on the three-dimensional target tracking data based on an optimized Grubbs criterion; and fusing the data of the trusted nodes by adopting an information entropy weighting strategy to obtain a fused target state estimation value, and realizing three-dimensional tracking of the underwater target. According to the invention, high-precision and high-reliability underwater target three-dimensional tracking can be realized.

The invention discloses an underwater wireless sensor network target coverage deployment method based on submarine topography, and the method comprises the steps: considering the underwater wireless sensor network target coverage problem of submarine topography, and constructing an integer nonlinear programming model INLP; and solving the integer nonlinear programming model INLP by adopting a Harris eagle optimization algorithm. According to the method, the submarine topographic features are creatively combined, the loss of the underwater acoustic signal is calculated by adopting the underwater acoustic simulator BELLHOP3D, and the transmission success rate of the link is further derived, so that the transmission quality of the underwater communication system is effectively improved. By constructing the integer nonlinear programming model, the deployment positions of the underwater sensor nodes are optimized, the coverage rate and the uniformity are maximized, and the problem that the influence of complex submarine topography on signal transmission cannot be fully considered in a traditional underwater network deployment method is solved.

The invention provides an underwater wireless sensor network target tracking method and device based on self-adaptive transmission power, and relates to the technical field of underwater target tracking. The method comprises the following steps: determining a tracking range, dividing the tracking range into four equal-area areas, establishing a positioning base station in the central area of each area, and establishing a positioning base station in the central area of each area; setting a first-layer node on the water surface at the position of the positioning base station, and setting a secondary-layer node under the corresponding water surface; target original position data, ocean interference data and tracking target motion state data are obtained according to the nodes, the target original position data are analyzed to obtain tracking target position data, and node optimal power is searched according to the ocean interference data; calibrating the tracking target position data according to the tracking target position data, the node optimal power and the tracking target motion state data; according to the invention, by correcting the signal transmission time difference and the node transmission power optimized by the marine environment, dual calibration of the tracking target is realized, and the system performance is improved.

The present invention discloses a method for deploying underwater wireless sensor network target coverage based on seabed topography, comprising: considering the target coverage problem of the underwater wireless sensor network based on the seabed topography, constructing an integer nonlinear programming model (INLP); and solving the integer nonlinear programming model (INLP) using the Harris Eagle optimization algorithm. The present invention innovatively incorporates seabed topography features, uses the underwater acoustic simulator BELLHOP3D to calculate the loss of underwater acoustic signals, and further derives the transmission success rate of the link, thereby effectively improving the transmission quality of the underwater communication system. By constructing the integer nonlinear programming model, the deployment positions of underwater sensor nodes are optimized, maximizing coverage and uniformity, and resolving the problem that traditional underwater network deployment methods fail to fully consider the impact of complex seabed topography on signal transmission.

The application discloses a kind of underwater wireless sensor network node positioning method based on matrix completion, steps are as follows: S1: the Euclidean distance between two different sensor nodes is obtained by TOA ranging method, so as to obtain the Euclidean distance matrix of underwater sensor network node;S2: the Euclidean distance matrix is recovered and completed using the matrix completion algorithm based on non-convex rank approximation, and the distance measurement between all nodes in the network is obtained;S3: the relative coordinates of all nodes underwater are calculated using MDS-MAP algorithm, the relative coordinates of conventional nodes are converted into absolute coordinates by the position of a part of anchor nodes, and the coordinates of conventional nodes are output.The application can not only accurately recover and complete the missing distance matrix, but also effectively handle the influence of Gaussian noise and outlier noise, with good robustness and accuracy.Using the position information of a small number of anchor nodes, the relative position is converted into absolute position, with high node positioning accuracy.

This invention discloses a clustering method for underwater wireless sensor networks based on improved AP clustering, which relates to the field of underwater wireless sensor network topology optimization. By acquiring node status information in the underwater wireless sensor network and initializing node feature data, the method improves its adaptability to underwater environments by comprehensively considering inter-node distance, received signal strength, and node residual energy. It also employs an energy and position-aware mechanism to iteratively update attraction and affiliation information to form a preliminary cluster structure, effectively addressing node energy consumption and position changes in complex underwater environments. Based on the node communication range, preference values ​​are updated to adjust the cluster structure to ensure that no nodes leave the cluster. A comprehensive weight function for cluster head updates is designed to avoid bias due to a single factor. This invention can better adapt to complex underwater environments, effectively optimize network topology, balance sensor node energy consumption, and improve the stability and energy efficiency of underwater wireless sensor networks.

The invention belongs to the technical field of communication, and particularly relates to a defense method and system for a malicious propagation model of an underwater wireless sensor network, and the method comprises the steps: dividing nodes into sensor nodes and autonomous underwater vehicles, and determining the propagation relation between the states; constructing a heterogeneous underwater wireless sensor network malicious program propagation model; calculating each stable point of which the state change rate is 0 in the constructed heterogeneous underwater wireless sensor network malicious program propagation model; and calculating a basic regeneration number according to the newly added Bayer call rate matrix and the state transition rate matrix of the heterogeneous node at the stable point. According to the method, the dynamic change process of the internal and external states of the heterogeneous nodes with different characteristics is reflected, the stable point representing that the malicious program is finally extinguished or popular is obtained, the condition for judging the propagation stable state of the malicious program of the heterogeneous underwater wireless sensor network is given, a theoretical basis is provided for propagation of the malicious program, and the method is suitable for popularization and application of the heterogeneous underwater wireless sensor network. And the improved SCSO algorithm realizes an optimal control strategy.

The present invention relates to a service-driven composite routing agent for an underwater wireless sensor network, which comprises a routing function module and a plug-in platform. The routing function module includes a reinforcement learning routing component and multiple function components. When sending data, the routing component obtains the optimal transmission path within a limited range according to the optimization objective. The multiple function components are used to support the data transmission requirements of different services. The plug-in platform generates a service QoS field according to the service requirements, and the service QoS field has a mapping relationship with the multiple function components. The routing function module selects and configures at least one function component from the multiple function components according to the mapping relationship and based on the value of the service QoS field, so as to perform corresponding processing on data and / or the next-hop node set during data acquisition, data reception or data transmission. Configuring function components based on service requirements can dynamically output the forwarding ability according to services in the underwater wireless sensor network.

The invention provides an underwater wireless sensor network target tracking method and device based on adaptive transmission power, and relates to the technical field of underwater target tracking. The invention determines a tracking range, divides the tracking range into four areas of equal area, establishes a positioning base station in the central area of ​​each area, sets up a first-layer node on the water surface of the positioning base station position, and sets up a second-layer node under the corresponding water surface; obtains target original position data, ocean interference data and tracking target motion state data according to the node, analyzes the target original position data to obtain tracking target position data, finds the node optimal power according to the ocean interference data, and calibrates the tracking target position data according to the tracking target position data, the node optimal power and the tracking target motion state data; the invention realizes dual calibration of the tracking target by correcting the signal transmission time difference and the node transmission power optimized by the ocean environment, thereby improving the system performance.

The invention relates to an AUV (Autonomous Underwater Vehicle) cluster sensing communication integrated data collection and path planning method, which is applied to an underwater sensing communication integrated system, the system comprises a data center, a plurality of underwater control nodes, an AUV cluster and a plurality of sensor nodes, and the method comprises the following steps: the data center allocates a working area for each underwater control node; each control node divides the sensor nodes in the working area of the control node into a plurality of sensor node clusters and calculates the overlapping communication area of each sensor node cluster, and then plans a path for the AUV cluster to which the control node belongs, so that the energy efficiency is maximized when the AUV cluster cooperatively traverses the overlapping communication area of each sensor node cluster in the working area to complete data collection. According to the invention, the energy efficiency of the AUV underwater wireless sensor network can be improved.

The invention discloses a data transmission method and device of an underwater wireless sensor network, equipment and a medium, and relates to the technical field of data transmission, an MAC protocol and protocol basic information are configured, a node state calculation formula, a node action calculation formula and a reward function are defined, and a decision network is added for a time slot model; calculating an initial node state and an initial node action, and if the initial node action is to send data, performing data communication with other sending nodes; after acknowledgement characters of other sending nodes are obtained, a reward value is calculated, and the state of the initial node is updated; updating the decision network by using the initial node state, the initial node action, the reward value and the updated node state; and inputting the current node data into the updated decision network, outputting a node data transmission strategy, and carrying out data transmission between the receiving nodes in the local and underwater wireless sensor networks according to the node data transmission strategy, thereby maximizing the network throughput and improving the data transmission efficiency of the underwater wireless sensor networks.

The present application discloses a data display method, device, equipment and medium, which relate to the technical field of underwater wireless sensor networks. The method is applied to a shore-based platform, by receiving underwater data transmitted by a main base station; wherein the underwater data at least includes detection data, communication data and navigation data of each node in the underwater wireless sensor network; pre-processing the underwater data; transmitting the pre-processed underwater data to a database server, so that the display terminal can obtain the underwater data through the database server and display it. It can be seen that the above scheme directly obtains the underwater data of the underwater wireless sensor network and pre-processes the underwater data, so that the display terminal can better display the underwater environment. It solves the problem of underwater environment visualization, realizes the display of multiple types of data such as communication data, detection data and navigation data in the underwater environment, and restores the underwater scene in real time and realistically.

The invention belongs to the technical field of wireless sensor networks, and particularly relates to an underwater wireless sensor network propagation model construction method based on a cellular automaton, which comprises the following steps of: establishing an underwater wireless sensor network model, acquiring the position of a node at each moment, continuously updating the state and the position of the node by adopting a new cellular space and an updating rule, and constructing an underwater wireless sensor network propagation model. And constructing an underwater wireless sensor network propagation model based on the cellular automaton based on the new updating mechanism. According to the method, the spatial distribution change of malicious program propagation in the underwater wireless sensor network and the global change trend of infected nodes are described, and the problem that in the prior art, a malicious program propagation model based on a cellular automaton model lacks underwater wireless sensor network malicious program propagation description is solved.

This invention discloses a target tracking method, apparatus, electronic device, and medium for underwater wireless sensor networks under measurement delay conditions. The method includes: constructing an underwater measurement delay model based on the delay caused by underwater acoustic propagation and sensor measurements under this delay; designing an augmented state estimator based on the underwater measurement delay model to compensate for the delay caused by underwater acoustic propagation; decoupling the augmented state estimator and extending it into a distributed augmented state estimator suitable for underwater wireless sensor networks; setting the morphological characteristics, dynamic parameters, initial state, and reference trajectory of the underwater target; and deploying the underwater wireless sensor network to perform target tracking using the distributed augmented state estimator. This invention can effectively compensate for the impact of measurement delay caused by slow underwater acoustic propagation on the accuracy and stability of underwater target tracking, keeping the tracking error within a small range.

The invention discloses a soft synchronization TDMA (Time Division Multiple Access) protocol implementation method for an underwater wireless sensor network, belongs to the technical field of underwater wireless communication, and solves the problems of difficulty in synchronization and high conflict rate of the existing UWSNs in an underwater sound environment with long propagation delay. According to the method, the initial time of an active window is distributed to each sensor node in the network at equal intervals, a periodic frame structure with the windows capable of being overlapped is established, and flexible adjustment of the frame length is achieved so as to optimize time delay; window random jitter is introduced to realize cross-period decoupling of the synchronization error, and the cumulative effect of the synchronization error is relieved; an access moment is randomly selected in an active window according to truncation cosine-distribution, and data packet transmission is performed at the access moment in the window, so that the conflict rate is remarkably reduced, the throughput and the channel utilization rate are improved, the end-to-end delay is shortened, and the access fairness is improved on the premise that strict global synchronization is not needed; the method is suitable for resource-limited underwater sensor nodes and UWSNs scenes such as marine environment monitoring, deep sea exploration and national defense communication.

The present invention discloses an optimal control method for malware propagation in a heterogeneous network of a smart ship, comprising the following steps: constructing a network state node graph; obtaining a corresponding heterogeneous differential equation expression; establishing a cost function of an optimization target; defining co-state variables; and solving the control result corresponding to the differential equation. The smart ship heterogeneous network model proposed by the present invention considers a heterogeneous model of a surface and underwater wireless sensor network combined with a time-delay state, simulates the transformation of node states in the network by constructing relevant differential equations, analyzes and studies the diffusion state of malware in the smart ship network, and solves the control parameters of the optimal cost. The node states in the network are divided into four states: generally susceptible, generally infected by malware, low-energy susceptible, and low-energy infected by malware. According to the method of treating and controlling malware in the network, while considering the cost of controlling and treating, an objective function that minimizes the optimization cost is constructed.

The invention relates to a data acquisition and transmission system. The data acquisition and transmission system comprises a sea-based information acquisition unit, underwater wireless sensor network equipment and a shore-based data processing unit which perform data interaction through a preset integrated data link, the underwater wireless sensor network equipment acquires deep marine environment data and transmits the deep marine environment data to the sea-based information acquisition unit; the sea-based information acquisition unit is used for acquiring offshore data or receiving deep marine environment data acquired by the underwater wireless sensor network equipment; after the deep ocean environment data and the offshore data are preprocessed, the preprocessed deep ocean environment data and the preprocessed offshore data are transmitted to the shore-based data processing unit; and the shore-based data processing unit receives the preprocessed deep marine environment data and the preprocessed offshore data sent by the sea-based information acquisition unit, and carries out fusion processing and storage on the preprocessed deep marine environment data and the preprocessed offshore data. Therefore, the operation stability of the data acquisition and transmission system can be improved.

The present invention discloses a three-dimensional underwater target tracking method based on an improved particle filter, belonging to the technical field of underwater wireless sensor networks. The method comprises the following steps: collecting three-dimensional target tracking data of an underwater target; constructing a target tracking model and a measurement model based on the three-dimensional target tracking data; improving the particle filter algorithm based on an unscented Kalman filter, constructing an importance density function based on the improved particle filter algorithm, the target tracking model, and the measurement model, and resampling the particles; introducing a dynamic adaptive hierarchical weighting factor to correct the weights of different particles, and normalizing the corrected particle weights; performing anomaly detection on the three-dimensional target tracking data based on an optimized Grubbs criterion; and fusing the data of trusted nodes using an information entropy weighting strategy to obtain a fused target state estimate, thereby achieving three-dimensional tracking of the underwater target. The present invention can achieve high-precision and high-reliability three-dimensional underwater target tracking.

The invention discloses an underwater wireless sensor network key node identification method, device and equipment and a medium, and is applied to the technical field of underwater communication, and the method comprises the steps: constructing and updating a twin network corresponding to an underwater wireless sensor network in real time; the twin network is a virtual network; determining a plurality of key node identification factors corresponding to each underwater sensor node through a twin network; the key node identification factors comprise node connectivity, node packet receiving rate, node energy consumption efficiency and node utilization rate; and determining the node importance of each underwater sensor node based on the key node identification factor, and sorting all the underwater sensor nodes based on the node importance to identify the key node. According to the invention, the key sensor nodes in the underwater wireless sensor network can be identified.

The invention discloses a centralized trust evaluation method and device based on a cloud theory and a storage medium, belongs to the technical field of trust models of underwater wireless sensor networks, and particularly relates to a trust evaluation method of an underwater wireless sensor network. The problems that according to an existing trust model for a clustering type network topology structure, the fuzziness and uncertainty characteristics of trust are neglected, and the trust model depends on a threshold value and a standard trust cloud which are set manually are solved. The method comprises the following steps: a sink node calculates and updates a packet sending cloud model, a data cloud model and an energy cloud model of nodes of a whole network by using a reverse cloud algorithm; calculating a mean square error between the input sample and the output sample as a reconstruction error; and inputting the reconstruction error into an SVM model to carry out node dichotomy so as to realize malicious node identification. The centralized trust evaluation method and device based on the cloud theory and the storage medium are suitable for trust evaluation of nodes in a clustering network topology structure.

The present application discloses a data transmission method, apparatus, equipment and medium for an underwater wireless sensor network, which relates to the technical field of data transmission. The method configures a MAC protocol and basic protocol information, defines a node state calculation formula, a node action calculation formula and a reward function, and adds a decision network to a time slot model; calculates an initial node state and an initial node action, and if the initial node action is to send data, performs data communication with other sending nodes; after obtaining confirmation characters from other sending nodes, calculates a reward value and updates the initial node state; updates the decision network using the initial node state, initial node action, reward value and updated node state; inputs current node data into the updated decision network, outputs a node data transmission strategy, and performs data transmission between the local and receiving nodes in the underwater wireless sensor network according to the node data transmission strategy, thereby maximizing network throughput and improving data transmission efficiency of the underwater wireless sensor network.

The invention relates to a double-perception online fountain code transmission system and method based on deep reinforcement learning. The system is applied to an underwater wireless sensor network, and comprises a network modeling module which is used for constructing an underwater acoustic sensor network model of a three-dimensional hierarchical clustering topology by adopting a fuzzy clustering algorithm according to spatial distribution and residual energy of nodes, and determining a transmission mechanism of half-duplex underwater acoustic communication; the reinforcement learning optimization module is used for modeling a decoding process of an online fountain code into a Markov decision process and training an agent in combination with a deep learning algorithm to generate an optimal coding degree sequence; and the coding transmission execution module is used for executing the optimal coding degree sequence to generate a coding data packet, performing multi-hop transmission, and performing coding degree switching based on limited feedback triggering until the aggregation node recovers all original data. Based on a half-duplex underwater acoustic communication mechanism, channel conflicts are avoided, the optimal coding degree sequence can be dynamically matched with a decoding state, and the data transmission reliability in an extreme underwater environment is improved.

The invention discloses a multi-AUV (Autonomous Underwater Vehicle) collaborative underwater data acquisition system and a path optimization method, and belongs to the technical field of underwater wireless sensor networks. The system comprises a fixed sensor node, a data acquisition layer, a data integration layer, a cross-medium transmission layer, a dynamic region division module and a path optimization module. The fixed sensor node is deployed in a shallow submerged reef sea area of the South China Sea, and transmits data to the peripheral AUV through single-hop underwater acoustic communication; the central AUV is interconnected with the peripheral AUV through a dynamic telescopic optical fiber link to fuse multi-source data; and the mobile AUV uses blue-green laser communication to enable the data to float upwards to the water surface base station to be transmitted back. The dynamic region division module divides a monitoring region into three fan-shaped sub-regions which are not overlapped with one another, and the geographic unit integrity constraint and the load balancing constraint are met; and the path optimization module plans a peripheral AUV path by adopting an information entropy enhanced ant colony algorithm, and path planning efficiency is remarkably improved by dynamically adjusting heuristic factors and triggering local search optimization.

The present invention relates to a resource allocation method for underwater wireless sensor networks based on stochastic gradient descent, belonging to the field of resource allocation in communication technology systems. The present invention takes into account actual network rate constraints, power constraints, energy return, etc. constraints, adopts multi-homing technology for underwater wireless sensor networks, and, in the case of an energy borrowing and returning mechanism, aims at maximizing the throughput of the communication system to establish an optimization model for network resource allocation; the proposed improved stochastic gradient descent algorithm randomly selects a sample to calculate the gradient in each iteration process to perform iterative update of the weight vector. And a momentum factor is used to ensure the optimality of the step size, and then a resource allocation method for underwater wireless sensor networks based on stochastic gradient descent is proposed. Convergence analysis and simulation results show that the network resource allocation method based on the improved stochastic gradient has good convergence, can effectively control the communication rate between underwater sensors, and reduces the energy consumption of underwater wireless sensor networks.

This invention relates to a node clustering routing method and device for underwater wireless sensor networks. The underwater wireless sensor network includes a sink node, a base station, and multiple dynamic underwater nodes. The routing method is applied to the sink node and includes: establishing a connection with the base station; for each underwater node, forming multiple clusters through clustering; for each cluster, determining the corresponding cluster head node using a hybrid optimization algorithm combining fruit fly and firefly algorithms, and then establishing a connection with the corresponding cluster head node; determining the target cluster where the target underwater node is located, determining the optimal path from the cluster head node of the target cluster to the target underwater node using an adaptive step-size firefly algorithm, and then establishing a connection with the target underwater node based on the optimal path, thus establishing a route from the base station to the target underwater node. Compared with existing technologies, this invention has advantages such as strong search capability and fast convergence speed.

The present invention provides an underwater wireless sensor network topology repair method suitable for dynamic water flow scenarios; the repair method comprises two stages: repair path establishment and repair node arrangement; first: a repair path generation method based on path clipping, according to the location distribution characteristics of all underwater sub-networks that are not interconnected, constructs a repair path connecting all sub-networks and a surface aggregation node; second: an adaptive underwater repair node arrangement method based on greedy mobility, so that the number of deployed repair nodes is reduced on the premise that the links between nodes meet the transmission success rate requirements; after the above two steps, the topology of the underwater wireless sensor network can be repaired; the method can perform topological connectivity repair for the underwater wireless sensor network according to the underwater communication channel and the water flow movement characteristics, and can improve the transmission reliability while reducing the number of deployed repair nodes.