High-robustness wireless network communication method and device of anti-interference and anti-counterfeiting base station
By designing a system for identifying fake base stations and constructing redundant links, the anti-interference and robustness issues of multi-hop wireless networks in scenarios such as fire fighting and chemical industries are solved, resulting in a highly robust communication network suitable for critical fields such as fire fighting and chemical industries.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG INFORMATION IND SERVICE
- Filing Date
- 2026-02-04
- Publication Date
- 2026-05-08
AI Technical Summary
Multi-hop wireless networks have weak anti-interference capabilities, lack fake base station identification mechanisms, and are not robust enough in critical scenarios such as fire fighting and chemical industry, leading to communication interruptions or security risks.
The design incorporates a fake base station identification, redundant link construction, and interference avoidance approach. This includes trust system construction, multi-dimensional verification of fake base stations, connectivity graph generation and robustness detection, configuration of redundant links, and the use of dynamic anti-interference communication modules to switch channels and adjust node power, thereby constructing a highly robust communication network.
It achieves accurate identification of fake base stations and effective avoidance of external interference, improves network robustness, ensures communication continuity and security, and is suitable for key fields such as fire protection and chemical industry.
Smart Images

Figure CN122002291A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of wireless communication technology, specifically relating to a highly robust wireless network communication method and device with anti-interference and anti-fake base station capabilities. It is applicable to multi-hop wireless networks, and is especially suitable for scenarios with extremely high requirements for communication security and stability, such as fire fighting, chemical industry, and emergency rescue. Background Technology
[0002] Multi-hop wireless networks, as a decentralized, peer-to-peer communication network, allow nodes to join or leave at any time, exhibiting strong resilience and are widely used in various critical fields. However, existing multi-hop wireless networks still suffer from three major problems: First, they have weak anti-interference capabilities, being susceptible to external electromagnetic interference and co-channel signal interference during communication, leading to data transmission interruptions or errors; second, they lack effective fake base station identification mechanisms, allowing malicious fake base stations to easily access the network to steal data or mislead communication, posing security risks; and third, they lack robustness, as when any routing node in the network goes offline, its associated leaf nodes may lose connection to the network, resulting in a broken communication link.
[0003] In critical scenarios such as fire fighting and chemical industry, communication interruptions or interference may lead to serious safety accidents. Therefore, there is an urgent need for a wireless network communication solution that combines anti-interference, anti-fake base station functions, and high robustness to overcome the shortcomings of existing technologies. Summary of the Invention
[0004] To address the aforementioned problems, this invention provides a highly robust wireless network communication method and apparatus for anti-interference and anti-fake base station protection. Through an integrated design of "fake base station identification - redundant link construction - interference avoidance," it achieves multiple objectives of anti-interference, anti-fake base station protection, and high robustness.
[0005] To achieve the above objectives, the technical solution adopted by the present invention is as follows: The highly robust wireless network communication method for anti-interference and anti-spoofing base stations provided by this invention comprises the following specific steps: 1. Network node initialization and trust system construction When the network starts, all legitimate nodes are registered, and information such as the node's unique identifier ID, encryption certificate (issued by an authoritative organization), MAC address, RF module parameters, transmit power range, and communication frequency band is collected to establish a node trust database and set a trust threshold (e.g., 85 points out of 100). The trust database is updated in real time and supports the addition of new nodes and the deregistration of invalid nodes.
[0006] 2. Fake base station identification and filtering When a node requests network access, the fake base station identification module performs multi-dimensional verification: - Identity verification: Verify whether the encryption certificate of the access node is valid and whether the unique identifier ID exists in the trust database. If the matching degree is less than 90%, deduct 20 points. - Hardware feature verification: Compare the MAC address and RF module parameters of the access node with the trust database. 15 points will be deducted for each inconsistency. - Communication behavior verification: Check whether the communication frequency band and signal modulation method of the access node comply with the network preset specifications. If they do not comply, 30 points will be deducted.
[0007] If the total score of the three verifications is lower than the trust threshold (85 points), it is judged as a fake base station and its access to the network is denied; if the total score meets the threshold, it is allowed to access and the node status in the trust database is updated.
[0008] 3. Connectivity Graph Generation and Robustness Detection Access nodes obtain the network adjacency table via the neighbor discovery protocol. The adjacency table records the adjacency relationships of all nodes. Based on the adjacency table and the GIS model, a first connected graph is generated (nodes are marked with circles, and adjacent nodes are marked with edges). Any two adjacent routing nodes in the adjacency table are selected as target nodes, and the connection between them is broken, generating a second connected graph. The Kosaraju algorithm or Tarjan algorithm is used to determine whether the second connected graph is a strongly connected graph (i.e., the graph contains at least one loop that includes all nodes). If it is a strongly connected graph, it means that the link has natural redundancy, and the target node is selected again. If it is not a strongly connected graph, it means that the link has no redundancy, and redundant connections need to be configured.
[0009] 4. Redundant link configuration For non-strongly connected second-connected graphs, two redundant connection configuration methods are provided, which can be flexibly selected according to the network scenario: - Power adjustment method: Select any one of the target nodes as the first node and increase its transmission power (not exceeding the node's maximum transmission power limit); obtain any adjacent node of the second node as the third node and increase the transmission power of the third node so that the signal strength between the first node and the third node meets the communication requirements, forming a redundant link; - Route activation method: Obtain any leaf node of the first node (a node that only has a communication connection with the first node) as the fourth node, send a route activation command to the fourth node to put it into route working mode, adjust the communication parameters of the fourth node to form a stable communication connection with the second node, and build a redundant link. After configuring both methods, a third connected graph is generated to ensure that data can be transmitted through the redundant link when the target node is disconnected.
[0010] 5. Dynamic anti-interference communication The anti-interference communication module uses energy detection to sense the signal-to-noise ratio and interference signal strength of the current communication channel in real time: when the interference strength does not exceed the preset threshold (signal-to-noise ratio ≥ 15dB), the current channel communication is maintained; when the interference strength exceeds the preset threshold, it immediately switches to a pre-selected backup channel (ensuring no interference and sufficient bandwidth through spectrum hole detection), and at the same time updates the channel parameters of the redundant link to ensure that the redundant link switches synchronously with the main link and maintains communication continuity.
[0011] The highly robust wireless network communication device for anti-interference and anti-spoofing base stations provided by the present invention, corresponding to the above method, includes the following functional modules: 1. Trust System Construction Module: It adopts encrypted storage to store node identity information, hardware characteristics and communication parameters, and supports adding, modifying and deregistering node information to ensure the security and real-time performance of the trust database.
[0012] 2. Fake base station identification module: includes an identity verification unit, a hardware feature verification unit, and a communication behavior verification unit, which respectively perform identity information matching, hardware parameter comparison, and communication behavior detection, and determine fake base stations and refuse access through a total score evaluation mechanism.
[0013] 3. Connectivity Graph Processing Module: Responsible for obtaining the adjacency list and generating the connectivity graph. It uses a preset algorithm to determine strong connectivity, providing a basis for configuring redundant links.
[0014] 4. Redundant Link Configuration Module: This module includes a power adjustment unit and a route activation unit, which construct redundant communication links by adjusting the node transmit power and activating the routing function of leaf nodes, respectively.
[0015] 5. Anti-interference communication module: Real-time monitoring of channel interference status, execution of channel switching and link parameter updates to ensure the stability of communication channels.
[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: It combines anti-fake base station and anti-interference functions: it accurately identifies fake base stations through multi-dimensional verification, and the dynamic spectrum sensing and channel switching mechanism effectively avoids external interference and ensures communication security. Significantly improved robustness: Through redundant link configuration, it is ensured that data can be transmitted through redundant links when any adjacent routing node goes offline, avoiding communication interruption; High flexibility: Redundant link configuration offers two methods, which can be flexibly selected according to network node distribution, power limitations and other scenarios to adapt to different application needs; High practicality: The overall solution requires no complex hardware modifications and can be implemented on existing multi-hop wireless network terminals, making it suitable for communication needs in critical fields such as fire protection and chemical industry. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a schematic diagram of the overall process of the method of the present invention; Figure 2 This is a schematic diagram of the fake base station identification process of the present invention; Figure 3 This is a schematic diagram illustrating the principle of redundant link configuration (power adjustment method) of the present invention; Figure 4 This is a schematic diagram illustrating the principle of redundant link configuration (routing activation method) of the present invention; Figure 5 This is a schematic diagram of the module structure of the device of the present invention; Figure 6 This is a schematic diagram of the hardware structure of the terminal device of the present invention. Detailed Implementation
[0019] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.
[0020] Numerous specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways than those described herein, and therefore the invention is not limited to the specific embodiments disclosed in the following specification.
[0021] Example 1: Configuring Redundant Links Using Power Adjustment Method Suppose there are nodes A, B, C, and D in a multi-hop wireless network, where A and B are adjacent routing nodes (target nodes), and B and C are neighboring nodes. Initially, A and C have no communication connection.
[0022] 1. The trust system construction module has stored the legitimate information of A, B, C, and D, and the trust threshold is set to 85 points; 2. New access node E requests access. After verification by the fake base station identification module: the encryption certificate is valid (match rate 95%), the MAC address is consistent, the communication frequency band complies with the specifications, and the total score is ≥85 out of 95. Access is allowed. 3. The connected graph processing module obtains the adjacency list to generate the first connected graph, disconnects the connection between A and B to generate the second connected graph, and uses the Tarjan algorithm to determine whether the second connected graph is a non-strongly connected graph; 4. The redundant link configuration module adopts a power adjustment method: increase the transmission power of A (from 10dBm to 15dBm), select the neighboring node C of B as the third node, increase the transmission power of C (from 10dBm to 14dBm), so that A and C form a communication connection and generate a third connected graph; 5. The anti-interference communication module monitors the current channel in real time. When interference signals are detected that cause the signal-to-noise ratio to drop to 12dB (below the threshold of 15dB), it immediately switches to the backup channel, updates the channel parameters of the AB main link and the AC redundant link, and maintains stable communication.
[0023] Example 2: Configuring Redundant Links Using Route Activation Method Using the network nodes from Example 1, A and B are the target nodes, and D is a leaf node of A (connected only to A).
[0024] 1. Disconnecting A and B generates a second connected graph, which is determined to be a non-strongly connected graph by Kosaraju's algorithm; 2. The redundant link configuration module adopts the route activation method: obtain the leaf node D of A as the fourth node, send a route activation command to D, and D enters the route working mode; 3. Adjust the communication parameters of D (increase the transmit power to 13dBm) to establish a stable communication connection between D and B, construct the ADB redundant link, and generate the third connectivity graph; 4. When node A goes offline unexpectedly, node D, acting as a routing node, will transmit the data originally belonging to node A through the DB link to ensure uninterrupted network communication.
[0025] The method and apparatus of this invention can be implemented through a terminal device, which includes hardware such as a processor, memory, and radio frequency module. When the processor executes the computer program in the memory, it completes all the steps of the above method. This invention, through its integrated design, effectively solves problems such as fake base station intrusion, interference interruption, and insufficient robustness in multi-hop wireless networks, and has significant practical application value.
[0026] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments for application in other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.
Claims
1. A highly robust wireless network communication method with anti-interference and anti-spoofing base station capabilities, characterized in that, include: 1) Network node initialization and trust system construction: Obtain the identity information, hardware characteristics and communication parameters of all nodes in the multi-hop wireless network, establish a node trust database, and define trust thresholds; 2) Fake base station identification and filtering: Multi-dimensional verification is performed on network access nodes. If the verification result is lower than the trust threshold, it is determined to be a fake base station and its access to the network is denied. 3) Connectivity Graph Generation and Robustness Detection: Obtain the network adjacency table and generate the first connected graph. Select any two adjacent routing nodes as target nodes, disconnect the connection between them to generate the second connected graph, and use a preset algorithm to determine whether the second connected graph is a strongly connected graph. 4) Redundant link configuration: If the second connected graph is not strongly connected, redundant connections are configured for the target node by adjusting the node transmit power or activating the leaf node route, and a third connected graph is generated. 5) Dynamic anti-interference communication: Real-time sensing of the interference intensity of the communication channel. If the interference intensity exceeds the preset threshold, switch to the backup channel and update the redundant link parameters to maintain communication continuity.
2. The highly robust wireless network communication method for anti-interference and anti-spoofing base stations according to claim 1, characterized in that, The node identity information mentioned in step 1 includes a unique node identifier (ID) and an encryption certificate. The hardware features include a MAC address and radio frequency module parameters. The communication parameters include a transmit power range and a communication frequency band.
3. The highly robust wireless network communication method for anti-interference and anti-spoofing base stations according to claim 1, characterized in that, The multi-dimensional verification mentioned in step 2 includes: 1) Identity verification: Verify the validity of the access node's encryption certificate and the matching degree between the unique identifier ID and the trust database; 2) Hardware feature verification: Compare the MAC address and RF module parameters of the access node with the trust database for consistency; 3) Communication behavior verification: Detect whether the communication frequency band and signal modulation method of the access node conform to the network preset specifications.
4. The highly robust wireless network communication method for anti-interference and anti-spoofing base stations according to claim 1, characterized in that, The preset algorithm mentioned in step 3 includes at least one of the Kosaraju algorithm and the Tarjan algorithm; the criterion for determining a strongly connected graph is that there is at least one cycle in the directed graph, and the cycle contains all nodes in the graph.
5. The highly robust wireless network communication method for anti-interference and anti-spoofing base stations according to claim 1, characterized in that, Step 4, configuring redundant connections for the target node, includes: 1) Power adjustment method: Increase the transmission power of the first node in the target node, obtain any adjacent node of the second node as the third node, increase the transmission power of the third node, and enable the first node and the third node to form a communication connection. 2) Routing activation method: Obtain any leaf node of the first node as the fourth node, control the fourth node to enter the routing working mode, and enable the fourth node to form a communication connection with the second node.
6. The highly robust wireless network communication method for anti-interference and anti-spoofing base stations according to claim 1, characterized in that, The dynamic spectrum sensing in step 5 uses the energy detection method to monitor the signal-to-noise ratio and interference signal strength of the current communication channel in real time; the backup channel is pre-screened through spectrum hole detection to ensure that the channel quality meets the communication requirements.
7. A highly robust wireless network communication device for anti-interference and anti-spoofing base stations, characterized in that, include: 1) Trust system construction module: used to store node identity information, hardware characteristics and communication parameters, and to establish and update the node trust database; 2) Fake base station identification module: used to perform multi-dimensional verification on access nodes, identify fake base stations and refuse their access; 3) Connectivity Graph Processing Module: Used to obtain the network adjacency list, generate the first connected graph and the second connected graph, and determine whether the second connected graph is a strongly connected graph using a preset algorithm; 4) Redundant link configuration module: used to configure redundant connections and generate a third connected graph when the second connected graph is not strongly connected; 5) Anti-interference communication module: used to sense the channel interference intensity in real time, switch to the backup channel and update the redundant link parameters.
8. The highly robust wireless network communication device for anti-interference and anti-spoofing base stations according to claim 7, characterized in that, The fake base station identification module includes an identity verification unit, a hardware feature verification unit, and a communication behavior verification unit, which respectively perform identity information matching, hardware parameter comparison, and communication behavior detection.
9. The highly robust wireless network communication device for anti-interference and anti-spoofing base stations according to claim 7, characterized in that, The redundant link configuration module includes a power adjustment unit and a route activation unit; the power adjustment unit is used to increase the transmission power of the target node and the third node; the route activation unit is used to control the leaf nodes to enter the route working mode.
10. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1-6.