12 results about "Ad hoc network routing" patented technology

The invention discloses a satellite-ground fusion hybrid ad hoc network routing protocol and fault self-healing method, device and equipment and a storage medium, and the method comprises the steps: building a satellite-ground fusion network model based on the global routing information of a target region, and when a task request is received, sending the task request to a satellite-ground fusion network; generating a target routing strategy based on the task priority of the task request and the satellite-ground fusion network model, calling each node of the communication link based on the target routing strategy to carry out communication response on the task request, monitoring the communication response process of the communication link, and when the communication link has a fault, sending the fault to the satellite-ground fusion network model; according to the method, fault self-healing analysis is carried out through the target fault self-healing analysis model, a fault self-healing link is generated, and each node in the fault self-healing link is called to carry out communication response on the task request, so that communication fault self-healing in the communication response process is realized, the link stability and the fault-tolerant capability of the self-networking network in the unmanned area are effectively improved, and the self-healing efficiency of the self-networking network in the unmanned area is improved. The multi-target balance in the communication response process is realized, and the fault self-healing speed during the communication response fault is improved.

The application relates to a kind of distributed unmanned aerial vehicle ad hoc network routing methods based on deep reinforcement learning, comprising;According to Markov decision process, the deep reinforcement learning architecture of unmanned aerial vehicle communication network is built;Running Dijkstra algorithm sends original data packet from source node to destination node and generates original training data according to the routing process of original data packet to pre-train the deep reinforcement learning architecture;The coordinates of the destination node D of target data packet are input, the next hop node B of current node A is obtained using the pre-trained deep reinforcement learning architecture, and target training data is generated, and the deep reinforcement learning architecture is retrained according to the original training data and target training data;Next hop node B is used as starting node, until the next hop node is the destination node, the routing of target data packet is completed, and the application can enhance the robustness of network and improve the life of unmanned aerial vehicle communication network.

The invention provides an ad hoc network based on a power wireless private network, a monitoring method and a maintenance method, and belongs to the technical field of operation and maintenance of the power wireless private network, and the method comprises the following steps: realizing efficient sharing of channel resources of the ad hoc network through channel resource optimization, data frame effective bearing and channel dynamic management; based on time synchronization of the cellular ad hoc network, multi-hop networking and route dynamic updating of the cellular ad hoc network are realized; the local networking scene selection equipment is in a low-power-consumption and miniaturized mode, and the remote blind compensation scene selection equipment is in a mode that the transmitting power can be rapidly and dynamically adjusted; network dynamic monitoring based on heterogeneous network multilayer modeling, heterogeneous network coverage simulation and node position optimization, and node health degree and topology anomaly analysis and early warning; and based on network topology maintenance of network data intelligent acquisition, rapid database retrieval, ad hoc network edge performance improvement, ad hoc network equipment hierarchical management and ad hoc network routing tracking, a flexible ad hoc network of a power wireless private network is constructed, and flexible resource configuration and dynamic network monitoring are realized.

The invention discloses a distributed data link ad hoc network routing construction method based on DRL and cross-layer optimization, and the method comprises the steps: abstracting a to-be-established end-to-end data stream into a partially observable Markov hop-by-hop decision process when a data stream communication request from a source node to a destination node is received; wherein in each hop, the current node only carries out joint decision-making of routing and transmitting power based on local observation information. In the decision of each hop, irregular topology and interference relation between adjacent nodes are flexibly described by using a graph; designing a GNN-based model architecture as a strategy of an agent node, and processing input / output fluctuation dimensions by using a graph relationship; in the optimization process, the information exchange between the nodes strictly follows the actual limitation of the sensing ability, and accords with the distributed configuration of the data link self-organizing network; the learned strategy can quickly establish a high-quality routing path between a source node and a target node, and shows strong generalization ability for random network topology.

The invention discloses a high-dynamic ad hoc network routing method based on dynamic topology inference. The method comprises the following steps: step 1, providing traffic data of an unmanned aerial vehicle communication terminal for topology inference under the condition of low extra overhead by passively monitoring node service traffic characteristics of the unmanned aerial vehicle communication terminal; 2, implementing a connectivity analysis strategy and a connectivity judgment strategy, and judging the relevance between nodes of the communication terminal of the unmanned aerial vehicle; on the basis of the relevance of the flow data and according to deducing the physical topology of the whole network, topology information is obtained; step 3, based on the topological information, constructing a hybrid routing decision mechanism combining prior inference and on-demand discovery; on the premise of ensuring the route accessibility in a high-dynamic network environment, the control overhead of route discovery is reduced, channel congestion is relieved, and the network transmission efficiency under a limited bandwidth is improved. According to the method, the control packet overhead in a route discovery process is remarkably reduced while the route accessibility in a high dynamic environment is ensured, and the transmission efficiency of a network under limited bandwidth resources is improved.

This application relates to the field of shortwave ad hoc network routing optimization technology, and in particular to a multipath routing method for shortwave ad hoc networks based on node disjointness and adaptive traffic splitting. The method includes: each node exchanging messages according to a preset period to obtain one-hop neighbor information and two-hop neighbor information; constructing a comprehensive link cost model based on the current node's one-hop symmetric neighbors; modeling the shortwave ad hoc network as an original topology graph; performing a shortest path search on the original topology graph based on the comprehensive link cost to obtain primary and backup paths based on node disjointness constraints; and allocating service traffic according to the comprehensive link cost of the primary and backup paths. The method designed in this application can improve the service continuity, throughput performance, latency performance, and network robustness of shortwave ad hoc networks under conditions of sudden link degradation and rapid topology changes, while ensuring controllable routing computation complexity.

The application discloses a kind of star-ground fusion hybrid ad hoc network routing protocol and fault self-recovery method, device, equipment and storage medium, the method includes: based on the global routing information of target area to construct star-ground fusion network model, when receiving task request, based on the task priority of task request and star-ground fusion network model generates target routing strategy, based on target routing strategy, each node of communication link is called to carry out communication response to task request, and the communication response process of communication link is monitored, when there is fault in communication link, fault self-recovery analysis is carried out through target fault self-recovery analysis model, generates fault self-recovery link, and each node in fault self-recovery link is called to carry out communication response to task request, to realize the communication fault self-recovery in communication response process, to effectively improve the link stability and fault tolerance of unmanned area ad hoc network, realize the multi-objective balance in communication response process, improve the fault self-recovery speed when communication response failure.

The invention relates to the technical field of routing simulation, in particular to an ad hoc network multipath routing simulation method for cross-platform parameter interaction. By constructing a weight simulation platform and a routing simulation platform, weight calculation and a routing algorithm can be independently developed on different platforms, and data synchronization is realized through socket-based communication, so that the problem of test limitation caused by platform closure in ad hoc network routing algorithm development is solved; according to the method, a multi-path routing algorithm with different weight parameters can be cooperatively developed and tested by different platforms, congestion diffusion and stability mutation are captured in advance by utilizing a space-time differential operator through space-time differential characteristics and a Monte Carlo Dropout graph convolution prediction mechanism, and network oscillation caused by prediction errors is avoided by dynamically fusing observation values and prediction values; the technical problems that at present, it is difficult to directly associate a weight routing algorithm and a multipath routing algorithm independently developed by different platforms to achieve decentralized development, so that time is saved, and cost is reduced are solved.

The invention relates to a fuzzy multi-attribute decision-making-based vehicle ad hoc network routing method and system, and the method comprises the steps: a vehicle-level decision-making process: carrying out the fuzzy quantization of a first evaluation factor on a road section where a source vehicle is located, obtaining a candidate relay vehicle fuzzy score value, sequentially calculating a variance value, a first weight value, and a comprehensive fuzzy utility value of a candidate relay vehicle, and selecting the vehicle with the highest comprehensive fuzzy utility value as a target vehicle. And an intersection-level decision-making process: obtaining a second evaluation factor on the candidate path by a roadside unit of the current intersection, carrying out normalization calculation to obtain a normalization proportion value of the candidate path, dynamically allocating a second weight value, calculating a comprehensive score of each candidate path, and selecting the path with the highest comprehensive score as a target path. By adopting the technical scheme provided by the invention, the effects of comprehensive decision, strong robustness, high efficiency and reliability are achieved.

The application discloses a self-organizing network routing component consistency test method, system, device and storage medium, and belongs to the technical field of consistency test technology. The self-organizing network routing component consistency test method comprises the following steps: determining a consistency test procedure of a to-be-tested self-organizing network routing component, and determining a current test item according to the consistency test procedure; performing a test operation corresponding to the current test item on a first radio platform and a second radio platform to obtain a test result of the current test item; if the test result of the current test item is test failure, it is determined that the to-be-tested self-organizing network routing component fails the consistency test; and if the test results of all test items in the consistency test procedure are test success, it is determined that the to-be-tested self-organizing network routing component passes the consistency test. The application can perform consistency test on the self-organizing network routing component, and detect whether the self-organizing network routing component meets the functional requirements of the BATMAN-adv protocol.

The invention provides an unmanned aerial vehicle ad hoc network routing method and system based on congestion sensing, and belongs to the technical field of unmanned aerial vehicle communication. The method comprises the following steps: calculating the cost value of a link between nodes; a candidate path is constructed by using a virtual agent, a state transition probability is calculated according to pheromone concentration and a transition probability influence factor containing a speed factor during construction, a next hop node is selected, and the speed factor is in negative correlation with an absolute value of a node moving speed; and according to the total cost of the path, updating pheromones and carrying out loop iteration, and finally outputting an optimal route. According to the method, the speed sensing mechanism is introduced into the routing decision, so that the probability that the high-speed mobile node is selected can be adaptively reduced, the link breakage risk caused by rapid movement of the node is effectively avoided, and the transmission quality and the link stability are both considered while the output optimal routing is ensured.

This invention relates to routing control technology in wireless communication, specifically providing a routing method and system for UAV ad hoc networks based on energy balance under QoS assurance. When a source node needs to send data packets, it sends a routing request and waits for the estimated maximum propagation hop count. After the estimated time, based on the routing responses received during the waiting period, a path table for the destination node is established. A fitness function is constructed using four constraint parameters: link hold-up time, remaining energy, congestion level, and hop count. The fitness value of each path is then quickly and accurately obtained, and the path with the highest fitness value is selected as the optimal path for data transmission. This invention solves the problems of low throughput, premature death of some nodes due to high energy consumption, and poor packet delivery rate in existing UAV ad hoc network routing algorithms, ensuring continuous, effective, and timely data transmission for UAVs.