High-reliability heterogeneous network convergence control method based on environment perception
By dynamically adjusting network weights and quality scores based on environmental perception, and selecting the network communication method with the highest utility value, the risk of heterogeneous networks being destroyed in extreme environments is resolved, and highly reliable network communication is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINESE PEOPLES LIBERATION ARMY UNIT 32003
- Filing Date
- 2026-01-27
- Publication Date
- 2026-05-12
AI Technical Summary
Existing technologies have failed to effectively address the risk of paralysis of heterogeneous networks in extreme environments and cannot dynamically adapt to multimodal networks, resulting in unreliable network communication.
By acquiring meteorological and hydrological parameters through environmental perception, the severity of environmental conditions can be quantified, network weights and quality scores can be dynamically adjusted, and the network communication method with the highest utility value can be selected.
It achieves highly reliable heterogeneous network convergence control in extreme environments, ensuring network communication quality.
Smart Images
Figure CN122028007A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of network communication, and particularly relates to a high-reliability heterogeneous network fusion control method based on environment perception. BACKGROUND
[0002] With the continuous evolution of the communication network architecture, the network form is expanding from the traditional wired network and ground wireless access (such as Wi-Fi) to the heterogeneous system of fusion satellite Internet, shortwave communication, time division / frequency division multiple access (TDMA / FDMA) and other multi-modal technologies. In special geographical areas such as cross-sea areas, plateaus and polar regions, limited by complex terrain constraints, lack of infrastructure and extreme environmental disturbances, traditional wired / wireless networks face the risk of coverage failure. It is urgent to build an integrated space-ground-air networking architecture to ensure service availability and transmission robustness in special scenarios through innovative control mechanisms.
[0003] In such an environment, climate mutations and geographical uncertainties will lead to dynamic time-varying network topology (such as satellite links affected by ionospheric scintillation, shortwave channels drifting with sunlight intensity), and traditional networking solutions are difficult to maintain stable connections. Therefore, high-reliability control algorithms with environment perception capabilities must be designed.
[0004] The "fast networking method based on software-defined radio fusion of multiple communication devices" (application number 202411471793.5) proposes a fast networking method based on software-defined radio fusion of multiple communication devices. Its limitation is that it only addresses the networking control method under ideal conditions, without considering the risk of network collapse caused by extreme environmental disturbances such as typhoons, rain and fog, and electromagnetic interference. Moreover, this method lacks an intelligent network selection mechanism and cannot dynamically adapt to multi-modal networks (such as automatically disabling unmanned aerial vehicle links and enabling shortwave links in typhoon scenarios). SUMMARY
[0005] (I) Technical problems to be solved The technical problem to be solved by the present application is how to provide a high-reliability heterogeneous network fusion control method based on environment perception to solve the problem of not considering the risk of network collapse caused by extreme environmental disturbances in scenarios with high reliability requirements such as emergency rescue, extreme environmental operations, and military, and the inability to dynamically adapt to multi-modal networks.
[0006] (II) Technical solutions In order to solve the above technical problems, the present application proposes a high-reliability heterogeneous network fusion control method based on environment perception, which comprises the following steps: S1, real-time perception of environment state Through real-time perception of the environment state, meteorological and hydrological parameters are obtained, and the meteorological and hydrological parameters are quantified as an environment severity index E; S2, environment weight determination The environmental weight of each network in the heterogeneous network is determined based on the environmental severity index E. S3, Network Quality Score Determination Determine the set of currently available networks in the heterogeneous network, obtain the QoS vector corresponding to each network, and use the real-time obtained QoS vector to determine the network quality score; S4. Determine the current communication network. Based on the preceding environmental weights and network quality scores, the utility value of selecting a certain network communication method in the current environment is determined, and the network with the highest utility value is selected as the current communication network.
[0007] (III) Beneficial Effects This invention proposes a highly reliable heterogeneous network fusion control method based on environmental perception. It accurately quantifies the impact of severe weather on communication based on a dynamic weighting mechanism of environmental perception. It calculates the utility value under the current environment by weighting and network quality score, and dynamically selects the optimal network communication mode to adapt to the current environmental conditions based on the utility value. This method can provide users with a more accurate and sensitive highly reliable heterogeneous network fusion control method, ensuring the quality of network communication in extreme or special environments.
[0008] This invention provides a highly reliable heterogeneous network fusion control method based on environment awareness. Unlike existing technologies that select the communication network mode according to the network environment, this invention selects the optimal network communication mode suitable for the current situation based on the real-time conditions of the natural environment, providing dynamic and highly reliable service guarantee for heterogeneous network fusion control in extreme or special environments. Attached Figure Description
[0009] Figure 1 This is a flowchart of the highly reliable heterogeneous network fusion control method based on environmental perception according to the present invention. Detailed Implementation
[0010] To make the objectives, contents, and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples.
[0011] This invention relates to the field of network communication technology, and in particular to a highly reliable fusion control method for heterogeneous networks (such as 5G / Ethernet / satellite networks / shortwave) based on environmental awareness, which is applicable to scenarios with high reliability requirements such as emergency rescue, extreme environment operations, and military applications.
[0012] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A highly reliable heterogeneous network fusion control method based on environmental awareness is proposed. This method constructs a closed-loop control mechanism of "environmental state awareness -> network performance evaluation -> dynamic decision control." First, the severity of the environment is perceived and quantified in real time. Second, the decision weights of various network quality indicators are dynamically adjusted according to the severity of the environment. Then, the real-time service quality of available networks in the heterogeneous network is uniformly quantified and scored. Finally, by combining the utility function of environmental weights and network quality scores, the optimal network access or handover strategy is dynamically selected. This method significantly improves the communication reliability and adaptability of the heterogeneous network fusion system in extreme environments with severe meteorological and hydrological conditions by introducing environmental awareness to dynamically weight network selection decisions. The method includes the following steps: S1. Real-time environmental status perception By sensing the environmental conditions in real time, meteorological and hydrological parameters are obtained and quantified into an environmental severity index E. S2, Determination of Environmental Weights The environmental weight of each network in the heterogeneous network is determined based on the environmental severity index E. S3, Network Quality Score Determination Determine the set of currently available networks in the heterogeneous network, obtain the QoS vector corresponding to each network, and use the real-time obtained QoS vector to determine the network quality score; S4. Determine the current communication network. Based on the preceding environmental weights and network quality scores, the utility value of selecting a certain network communication method in the current environment is determined, and the network with the highest utility value is selected as the current communication network.
[0013] This invention monitors the severity of the current environmental conditions in real time. The system calculates environmental weights and network quality scores to determine the utility values of various networks in the current environment. It selects the network with the highest utility value as the communication network and determines whether a network switch is necessary. If a switch is required, it is executed; otherwise, the current network is maintained, and the environmental severity continues to be monitored in real time. .
[0014] Example 1: This invention provides a highly reliable heterogeneous network fusion control method based on environment awareness, the specific process of which is as follows: S1. Real-time environmental status perception By sensing the environmental conditions in real time, meteorological and hydrological parameters are acquired and quantified into an environmental severity index E. Here, it is assumed that the meteorological and hydrological factors considered are rainfall intensity R, wind speed W, and visibility. , This is the visibility attenuation coefficient, used to adjust the sensitivity of visibility to the index, thus determining the severity of the environment under the current conditions. The calculation formula is as follows.
[0015] in, For the maximum rainfall intensity, At maximum wind speed, This represents the maximum level of environmental severity. , , The weights for rainfall intensity, wind speed, and visibility are respectively. S2, Determination of Environmental Weights in, Given the severity of the current environmental conditions, Weight switching threshold (typical value) ), The rate of change of weights ( A value greater than 0 indicates that the weight increases when the environment deteriorates. <0 indicates that the weight decreases when the environment deteriorates. Let represent the environment weight of the i-th network. where i is the network type index, and each network i has an independent environment weight calculation function. This reflects its sensitivity to the severity of the environmental conditions, E.
[0016] S3. Determine the set of currently available networks in the heterogeneous network. Heterogeneous networks consist of various network types (satellite, cellular, Mesh, 5G, Ethernet, shortwave, etc.), and the set S represents all available networks, which is consistent with actual deployment scenarios.
[0017] Bandwidth (bw), latency (lat), and packet loss rate (loss) are selected as core metrics to determine the QoS vector for the i-th network. All metrics can be obtained in real time using standard network probing tools: Let be the bandwidth of the i-th network. Let be the latency of the i-th network. Let be the packet loss rate of the i-th network; The network quality score is determined using the real-time acquired QoS vector, and the calculation method is as follows: This involves linearly normalizing the network bandwidth to determine the maximum network bandwidth. Subsequently, it can accurately reflect throughput resource utilization; network latency is simulated by exponential decay to reflect the nonlinear sensitivity of real-time services, where τ is the average latency; packet loss rate is directly mapped to the impact of packet loss on services using linear compensation. The constraints are: α + β + γ = 1, α, β, γ > 0, ensuring the scoring range. The weights can be manually adjusted according to the actual network communication service requirements.
[0018] The severity of the environment, E, affects the communication reliability of different networks; therefore, environmental weighting is used to determine this. Network quality score Perform dynamic weighting.
[0019] S4. Finally, based on the environmental weights and network quality scores mentioned above, we can determine the utility value of choosing a certain network communication method in the current environment. The utility function is as follows: Indicates the candidate action Calculate the utility value, and the optimal network communication choice is the action with the highest utility value in the current environment, that is, the network with the highest utility value is selected as the current communication network.
[0020] The advantage of this invention is that it accurately quantifies the impact of severe weather on communication based on an environmental perception dynamic weighting mechanism, and calculates the utility value under the current environment by weighting and network quality scoring. This can provide users with a more accurate and sensitive, highly reliable heterogeneous network fusion control method, ensuring network communication quality in extreme or special environments.
[0021] This invention provides a highly reliable heterogeneous network fusion control method based on environmental awareness. It accurately quantifies the impact of severe weather on communication based on a dynamic weighting mechanism of environmental awareness, calculates the utility value under the current environment through weights and network quality scores, and dynamically selects the optimal network communication mode adapted to the current environmental conditions based on the utility value. This method can provide users with a more accurate and sensitive highly reliable heterogeneous network fusion control method, ensuring network communication quality in extreme or special environments.
[0022] This invention provides a highly reliable heterogeneous network fusion control method based on environment awareness. Unlike existing technologies that select the communication network mode based on the network environment, this invention selects the optimal network communication mode suitable for the current situation based on the real-time conditions of the natural environment and the network environment, providing dynamic and highly reliable service guarantee for heterogeneous network fusion control in extreme or special environments.
[0023] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.
Claims
1. A highly reliable heterogeneous network fusion control method based on environmental perception, characterized in that, The method includes the following steps: S1. Real-time environmental status perception By sensing the environmental conditions in real time, meteorological and hydrological parameters are obtained and quantified into an environmental severity index E. S2, Determination of Environmental Weights The environmental weight of each network in the heterogeneous network is determined based on the environmental severity index E. S3, Network Quality Score Determination Determine the set of currently available networks in the heterogeneous network, obtain the QoS vector corresponding to each network, and use the real-time obtained QoS vector to determine the network quality score; S4. Determine the current communication network. Based on the preceding environmental weights and network quality scores, the utility value of selecting a certain network communication method in the current environment is determined, and the network with the highest utility value is selected as the current communication network.
2. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 1, characterized in that, In S1, the meteorological and hydrological factors considered are rainfall intensity R, wind speed W, and visibility. , This is the visibility attenuation coefficient, used to adjust the sensitivity of visibility to the index, thus determining the severity of the environment under the current conditions. The calculation formula is as follows: in, For the maximum rainfall intensity, At maximum wind speed, This represents the maximum level of environmental severity. , , The weights are for rainfall intensity, wind speed, and visibility, respectively.
3. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 2, characterized in that, In S2, the network's environmental weights are: in, Given the severity of the current environmental conditions, The weight switching threshold, For the rate of change of weights, Let i be the environment weight of the i-th network, where i is the network type index. Each network i has an independent environment weight calculation function. This reflects its sensitivity to the severity of the environmental conditions, E.
4. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 3, characterized in that, 。 5. The highly reliable heterogeneous network fusion control method based on environment awareness as described in claim 3, characterized in that, In S3, the heterogeneous networks include: satellite networks, cellular networks, mesh networks, 5G networks, Ethernet networks, and shortwave networks.
6. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 3, characterized in that, In step S3, determining the set of currently available networks in the heterogeneous network includes: determining the set of currently available networks in the heterogeneous network. Heterogeneous networks consist of multiple network types, and the set S represents all available networks.
7. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 6, characterized in that, In step S3, obtaining the QoS vector corresponding to each network includes: Bandwidth (bw), latency (lat), and packet loss rate (loss) are selected as core metrics to determine the QoS vector for the i-th network. All metrics are obtained in real time through network probing tools: Let be the bandwidth of the i-th network. Let be the latency of the i-th network. Let be the packet loss rate of the i-th network.
8. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 7, characterized in that, In step S3, the network quality score is determined using the real-time acquired QoS vector, including: The network quality score is determined using the real-time acquired QoS vector, and the calculation method is as follows: This involves linearly normalizing the network bandwidth to determine the maximum network bandwidth. Subsequently, it can accurately reflect throughput resource utilization; network latency is simulated by exponential decay to reflect the nonlinear sensitivity of real-time services, where τ is the average latency; packet loss rate is directly mapped to the impact of packet loss on services using linear compensation; the constraints are: α+β+γ=1, α,β,γ>0, ensuring the scoring range. .
9. The highly reliable heterogeneous network fusion control method based on environment perception as described in claim 8, characterized in that, S4 includes: Based on environmental weights and network quality scores, the utility value of choosing a certain network communication method in the current environment is determined. The utility function is as follows: Indicates the candidate action Calculate the utility value; the optimal network communication choice is the action with the highest utility value in the current environment, that is, the network with the highest utility value is selected as the current communication network. 。 10. The highly reliable heterogeneous network fusion control method based on environment awareness as described in any one of claims 1-9, characterized in that, Real-time monitoring of the severity of the current environment The system calculates environmental weights and network quality scores to determine the utility values of various networks in the current environment. It selects the network with the highest utility value as the communication network and determines whether a network switch is necessary. If a switch is required, it is executed; otherwise, the current network is maintained, and the environmental severity continues to be monitored in real time. .