CN117939482A - Wireless network topology establishment method, network and optimal path calculation method - Google Patents
Wireless network topology establishment method, network and optimal path calculation method Download PDFInfo
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Abstract
The invention relates to the technical field of communication, in particular to a wireless network topology establishment method, a network and an optimal path calculation method, wherein the wireless network provided by the invention is a wireless network, has multiple beneficial effects of flexible communication mode, elastic topology structure, high-efficiency data transmission, real-time monitoring and diagnosis functions, effective network deployment method and the like, can meet the communication requirement in a complex environment, and improves the reliability and usability of the network; the wireless network topology establishment method effectively deploys the wireless network to realize data communication between any two nodes; the path optimization method for the wireless network can be used for determining the optimal path more accurately by comprehensively considering factors such as signal strength, data transmission timeliness, communication environment parameters and the like, and improving the performance and reliability of the network.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method for establishing a wireless network topology, a network, and a method for calculating an optimal path.
Background
With the high-speed development of the economy of China, the research of the computer network communication technology of China also makes a great breakthrough, and the computer network technology is applied to various industries at present and brings great benefits to the industries. The internet of things technology is based on various information sensing technologies, and is used for collecting information of objects needing to be monitored, connected and interacted, so that a huge network is finally formed, and network connection among objects, people and between objects and people is realized, thereby greatly facilitating project management and control. The technology is an extension to the internet technology and the communication network technology, and is a product combining a plurality of technologies with application, including BIM technology, information technology, artificial intelligence, image recognition, big data analysis technology, GIS technology, unmanned aerial vehicle live-action modeling technology and the like. The internet of things technology has the characteristics of realizing comprehensive perception, information transmission and intelligent processing. The comprehensive perception is to collect relevant information of the object by utilizing various information sensors and identification tools; the information transmission is to transmit and share the information through the Internet and a communication network; the intelligent processing is to automatically analyze and process the information, and finally realize intelligent control and decision. Along with the influence of the development of intelligent building technology and digital information technology on the behavior habit of people, the development of the Internet of things technology in the building industry faces new technical challenges, and various requirements of data communication instantaneity, image and data identification accuracy, protocol compatibility of equipment, informatization deep interaction of Internet of things equipment, data safety and the like need to be further solved and researched, so that the intelligent, intelligent and green development of building enterprises is realized.
The tunnel construction site is a closed electromagnetic environment, the wireless signal transmission and the open area have large difference, and in the advancing process of the tunnel construction, a wireless network established based on optical fibers cannot cover an operation area in real time, so that MEMS data near a working surface cannot be uploaded to a central server in real time.
Disclosure of Invention
Therefore, the invention provides a wireless network topology establishment method, a network and an optimal path calculation method, which are used for solving the problem of unstable wireless network communication during tunnel construction in the prior art.
To achieve the above object, in a first aspect, the present invention provides a wireless network, including:
a wired device for communicating between corresponding network nodes through wired connection;
A wireless device for communicating between corresponding network nodes through a wireless connection;
the topology network forms a topology structure of the wireless network through the wired connection and the wireless connection so as to enable any node in the network to be connected and communicated with other nodes in the network;
the network monitor is used for monitoring the link state of the wireless network in real time and diagnosing the problem of the link with abnormal data transmission state.
Further, the wireless network deploys the wireless network according to a wireless network topology establishment method to enable any two nodes in the wireless network to conduct data communication, and the wireless network topology establishment method comprises the steps of determining positions of all nodes in the wireless network and determining connection modes among all nodes in the wireless network.
In a second aspect, the present invention provides a topology establishment method of a wireless network, including:
acquiring a wired communication difficulty coefficient of each position in a target range of a target tunnel for establishing a wireless network;
determining the position of each node in the wireless network according to the target range;
and determining the connection mode among all nodes in the wireless network according to the wired communication difficulty coefficient.
Further, the step of determining the location of each node in the wireless network comprises:
determining the range of a connected network and establishing a tunnel range of a wireless network;
Determining the number and the corresponding positions of the first type network nodes according to the tunnel range of the established wireless network;
determining the number of the network nodes passing through the second class and the corresponding positions according to the distance between any two adjacent network nodes of the first class;
wherein, each first type network node is at the same horizontal height, and the relative distances between any two adjacent first type network nodes in the horizontal direction are equal.
Further, the step of determining a connection manner between nodes in the wireless network includes:
determining a wired communication difficulty coefficient among nodes in the wireless network;
Determining a connection mode between the corresponding nodes according to the wire communication difficulty coefficient, wherein,
If the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is larger than or equal to the preset absolute value, judging that the corresponding nodes are connected wirelessly;
if the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is smaller than the preset absolute value, judging that the corresponding nodes are connected by wires.
In a third aspect, the present invention further provides a method for calculating an optimal path of a wireless network established by using the topology establishment method, including:
Acquiring node positions of a source node and a target node;
generating a plurality of signal transmission paths based on a topology network;
respectively calculating signal strength loss parameters and data transmission aging loss parameters of each signal transmission path;
Respectively determining a weighted signal strength loss parameter and a weighted data transmission aging loss parameter;
And determining an optimal path according to the weighted signal strength loss parameter and the weighted data transmission aging loss.
Further, the calculating process of the signal strength loss parameter comprises the following steps:
acquiring communication environment parameters of network communication signals along a tunnel of a wireless network;
For a single signal transmission path, determining corresponding communication environment parameters between two nodes in wireless connection in the path respectively;
determining a signal strength loss parameter of a communication signal according to the communication environment parameters between two nodes;
wherein the communication environment parameters include signal strength and electromagnetic strength.
Further, the calculation process of the data transmission aging loss parameter comprises the following steps:
Determining the current transmission task processing time length of each wireless connected node in a single signal transmission path;
and determining the data transmission aging loss parameters of the communication signals according to the standard deviation of the current transmission task processing time length of each node.
Further, according to the importance of the timeliness and the accuracy of the communication data to be transmitted, respectively determining a first weighting coefficient and a second weighting coefficient of the data transmission timeliness loss parameter and the signal intensity loss parameter so as to form a weighted data transmission timeliness loss parameter and a weighted signal intensity loss parameter;
Wherein the sum of the first weighting coefficient and the second weighting coefficient is 1.
Further, an optimal path is determined according to the weighted data transmission aging loss parameter and the weighted signal strength loss parameter.
Compared with the prior art, the wireless network has the advantages of flexible communication mode, elastic topological structure, high-efficiency data transmission, real-time monitoring and diagnosis functions, effective network deployment method and the like, can meet the communication requirements in complex environments, and improves the reliability and usability of the network. The flexible communication mode is realized through the wired equipment and the wireless equipment, stable and reliable data transmission can be realized through wired connection, and the communication requirements of strong mobility and flexible layout can be realized through wireless connection; the topology structure of the wireless network is formed through wired connection and wireless connection, so that any node in the network can be connected and communicated with other nodes, and the topology structure has strong self-organizing capability and can adapt to complex and changeable environments; the routing protocol can determine the transmission path of MEMS data in the wired equipment and the wireless equipment, thereby realizing high-efficiency data transmission, dynamically adjusting the transmission path according to the actual network state and meeting the data transmission requirements among different nodes; the network monitor can monitor the link state of the wireless network in real time, diagnose the link problem of abnormal data transmission state, discover and process abnormal conditions in the network in time, and ensure the stability and reliability of data transmission.
Further, the wireless network topology establishment method provided by the invention can effectively deploy the wireless network by determining the positions and the connection modes of all the nodes, thereby realizing data communication between any two nodes. The method comprises the steps of obtaining a target range of a target tunnel, determining the position of each node in a wireless network according to the range, determining the layout of the nodes according to actual requirements, and improving the coverage range and the reliability of the network; determining the number and the positions of the first type network nodes according to the range of the connected network and the tunnel range of the established wireless network, and then determining the number and the positions of the second type network nodes according to the distance between adjacent nodes so as to effectively control the number and the distribution of the network nodes and improve the expandability and the adaptability of the network; determining a corresponding connection mode according to the wired communication difficulty coefficient between the nodes, flexibly selecting the connection mode according to the actual condition between the nodes, and optimizing the stability and performance of the network; the wireless network can be effectively deployed by determining the node position and the connection mode; the method simplifies the flow of network deployment, reduces the cost and time of manual intervention, and improves the efficiency of network deployment.
Furthermore, the optimal path calculation method applied to the wireless network can more accurately determine the optimal path by comprehensively considering factors such as signal strength, data transmission timeliness, communication environment parameters and the like, and improves the performance and reliability of the network. Wherein, the opportunity of searching the optimal path is improved by generating a plurality of signal transmission paths, and the flexibility and the adaptability of the network are increased; by respectively calculating the signal strength loss parameter and the data transmission aging loss parameter, the signal transmission quality and the data transmission aging in the network are fully considered, and more comprehensive information is provided for optimal path selection; the weighting values of the signal strength loss and the data transmission aging loss are comprehensively considered, so that an optimal path is more accurately determined, and the relation between the signal quality and the data transmission aging is balanced; by considering the communication environment parameters and the processing time of the node transmission task, the signal strength loss and the data transmission aging loss are more accurately estimated, and the accuracy of path selection is improved; the weighting coefficient is determined by considering the timeliness and the accuracy of data transmission, and the weights of different parameters in optimal path selection are adjusted according to actual requirements, so that the flexibility and the practicability of path selection are improved.
Drawings
Fig. 1 is a flowchart of a wireless network topology establishment method according to an embodiment of the present invention;
fig. 2 is a step diagram of determining the location of each node in a wireless network according to an embodiment of the present invention;
Fig. 3 is a step diagram of determining a connection mode of each node in a wireless network according to an embodiment of the present invention;
Fig. 4 is a flowchart of a method for calculating an optimal path of a wireless network according to an embodiment of the present invention.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
The wireless network provided by the invention is a wireless Mesh network.
The topology network mentioned in the present invention describes the physical or logical connection between the nodes in the network, as well as the paths and rules of data transmission.
The network node is a specific device or system in a network topology structure and is used for sending, receiving, forwarding or processing data communication; the network nodes can be network equipment such as computers, servers, routers, switches and the like, each node plays a specific role in the network, data communication and resource sharing are realized through connection among the nodes, the interconnection among the network nodes forms a topological structure of the whole network, and different nodes bear different tasks and responsibilities according to different functions and positions of the nodes.
The wireless Mesh network in the invention is a network topology structure, wherein each node is directly connected with other nodes in the network, so that a dense Mesh structure is formed. In a Mesh network, data can be transmitted between nodes through multiple paths, so that the reliability and fault tolerance of the network are improved. The nodes in the Mesh network can be routers, wireless access points, sensors and other devices, and the nodes can communicate with each other through wired or wireless connection to form an self-organizing network structure. The Mesh network can adopt different routing algorithms to determine the data transmission path, so that the data can be flexibly transmitted in the network, and the connectivity of the whole network is not affected even if some nodes fail.
An embodiment of the present invention provides a wireless network, including:
a wired device for communicating between corresponding network nodes through wired connection;
A wireless device for communicating between corresponding network nodes through a wireless connection;
the topology network forms a topology structure of the wireless network through the wired connection and the wireless connection so as to enable any node in the network to be connected and communicated with other nodes in the network;
the network monitor is used for monitoring the link state of the wireless network in real time and diagnosing the problem of the link with abnormal data transmission state.
It can be appreciated that the wireless network provided by the present invention further includes a routing protocol, which is disposed in the wired device and the wireless device, for determining a transmission path of MEMS data in the wireless network to transmit the MEMS data from a source node to a target node;
In practice, the invention provides a wireless network comprising redundant links to complete data retransmission by establishing data communication between non-adjacent nodes when a link formed by any two adjacent network nodes fails or any node fails. It can be understood that the redundant link of the present invention is configured by setting redundant network devices (redundant routers and redundant switches) in the wireless network, and when the network monitor monitors that a link with an abnormal state exists in the wireless network, the redundant network devices are moved to the failed network node to automatically take over the network communication tasks to ensure the normal operation of the network.
Specifically, the wireless network deploys the wireless network according to a wireless network topology establishment method to enable any two nodes in the wireless network to perform data communication, wherein the wireless network topology establishment method comprises the steps of determining positions of all nodes in the wireless network and determining connection modes among all nodes in the wireless network.
Fig. 1 is a flowchart of a topology establishment method of a wireless network according to an embodiment of the invention. The embodiment of the invention also provides a topology establishment method of the wireless network, which comprises the following steps:
Step S1, obtaining a wired communication difficulty coefficient of each position in a target range of a target tunnel for establishing a wireless network;
Step S2, determining the position of each node in the wireless network according to the target range;
And step S3, determining the connection mode among all nodes in the wireless network according to the wired communication difficulty coefficient.
In implementation, the wire communication difficulty coefficient is determined according to the topography, vibration and stress changes of the corresponding tunnel.
The calculation formula of the wired communication difficulty coefficient D is as follows: d=a×t+b×v+c×s, where T is a change in difficulty of wired communication caused by landform factor assignment, and the value range of T is 0 to 10; v is a vibration factor assignment, wherein the vibration factor comprises actual vibration frequency and actual amplitude of each position in the tunnel, and the value range of V is 0-10; s is a stress change factor assignment, wherein the stress change factor comprises a stress state of a rock and soil layer and a groundwater pressure, and the value range of S is 0-10; a. b and c respectively represent weight coefficients of all the factors and are used for adjusting the influence degree of all the factors on the wired communication difficulty coefficient.
It can be appreciated that a larger value of T represents a complex topography condition that increases the difficulty of wired communication; the larger the value of V is, the higher the vibration frequency and the larger the amplitude are, the stability of wired communication is affected, the influence of vibration on equipment and circuits is required to be considered, and the difficulty of deploying and maintaining a wired network is increased; the larger the value of S is, the larger the stress state change of the rock and soil layer is, so that the wired communication equipment is affected by larger stress, and the risk of equipment damage is increased.
Before implementation, the wired device is subjected to vibration test to determine the maximum vibration frequency and amplitude corresponding to the case where the wired communication stability of the preset distance is greater than 95% and the transmission time is less than or equal to 1s, and the maximum vibration frequency and the maximum vibration amplitude are recorded as the standard vibration frequency and the standard vibration amplitude, and then the vibration factor v= [ (actual vibration frequency-standard vibration frequency)/(standard vibration frequency) + (actual vibration amplitude-standard vibration)/(standard vibration +5].
When the terrain condition is a tunnel, electromagnetic interference generally exists in the tunnel to influence the difficulty of wired communication, so that electromagnetic testing of wired equipment is required in a laboratory before implementation to determine the stability and transmission time of wired communication at a preset distance corresponding to a series of electromagnetic intensity, a first function image and a second function image (the two function images are required to be smoothly processed in an origin drawing) taking the electromagnetic intensity as a horizontal axis and the stability and the transmission time as a vertical axis respectively are established, and the tunnel terrain condition T= [ (95% -current communication stability)/(95% + (current transmission time-1) +5), namely the shorter the current communication stability is, the shorter the corresponding T is, the smaller the current transmission time is; wherein the current communication stability is obtained in the first function image and the current transmission time is obtained in the second function image.
In the implementation, the stress state of the rock-soil layer directly influences the stability of the geologic body, the stress of the rock-soil layer is analyzed by utilizing numerical simulation software, the deformation and stress distribution of the rock-soil layer under the action of external load are simulated to evaluate the influence degree of the stress of the rock-soil layer on wired communication equipment, the maximum allowable stress is determined and is recorded as standard stress, then the stress of the rock-soil layer in a target tunnel is determined, and then the stress change factor S= (the stress of the rock-soil layer in the target tunnel-standard stress)/(standard stress+5).
A=t/(t+v+s), b=v/(t+v+s), c=s/(t+v+s).
According to the invention, the connection mode among the nodes in the wireless network is determined according to the wired communication difficulty coefficient, so that the efficient and stable operation of the wireless network can be realized, and the risks of network interruption and data loss are reduced, thereby improving the network transmission rate and the data transmission quality.
Fig. 2 is a step diagram of determining the location of each node in a wireless network according to an embodiment of the present invention. In step S2, the step of determining the location of each node in the wireless network includes:
Step S21, determining the range of the connected network and establishing the tunnel range of the wireless network;
Step S22, determining the number of nodes passing through the first type network and the corresponding positions according to the tunnel range of the established wireless network;
Step S23, determining the number and corresponding positions of the network nodes passing through the second class according to the distance between any two adjacent network node positions of the first class;
wherein, each first type network node is at the same horizontal height, and the relative distances between any two adjacent first type network nodes in the horizontal direction are equal.
It can be understood that the relative distance between any two adjacent first-class network nodes is within a preset range, the preset range is 20-30 m, wherein the preset distance=25m; thus, the tunnel length +.30+1.ltoreq.the number of first class network nodes.ltoreq.the tunnel length +.20+1; the first type network node is located at the beginning construction position of the tunnel, a first type network node is arranged at a preset range, and the last first type network node is arranged at the end of tunnel construction.
It will be appreciated that a range of distances of 20 to 30 meters is a reasonable choice to balance network coverage, signal quality and cost, considering the particular circumstances and communication requirements of the tunnel. The distance range of 20-30 meters can effectively cover a communication area in a tunnel, stable transmission of network signals is ensured, the possibility of signal interference can be reduced due to moderate distance between adjacent first-class nodes, the network communication quality and stability are improved, the data transmission rate is optimized, and the network performance and efficiency are improved; network nodes are distributed within the range of 20-30 meters, so that network resources can be better utilized, and resource waste caused by excessive overlapping or gaps is avoided.
When the distance between any two adjacent first-class network nodes is less than or equal to 20m and less than or equal to 25m, 3 second-class network nodes are arranged between the two adjacent first-class network nodes; when the distance between any two adjacent first-class network nodes is less than or equal to 30m and is more than 25m, 4 second-class network nodes are arranged between the two adjacent first-class network nodes; wherein the first type network node is a fixed node (using a fixed network interface), the second type network node is a mobile network node (a router may be used), and when the setting is started, the second type network nodes in two adjacent first type network nodes are uniformly distributed.
It can be understood that the method for determining the position of each node in the wireless network provided by the invention determines the range of the connected network and establishes the tunnel range of the wireless network through steps S21 and S22, thereby being beneficial to optimizing the network coverage, and reasonably arranging network nodes in the tunnel to ensure the signal coverage of the whole area; the number and the positions of the second type network nodes are determined according to the step S23, so that reasonable distribution of network resources can be realized, excessive density or excessive sparseness of the nodes can be avoided, and network performance and stability can be improved; the first type network nodes are arranged at the same horizontal height, and the adjacent nodes are kept equidistant in the horizontal direction, so that the signal transmission delay is reduced, and the data transmission efficiency is improved; according to the method steps provided by the invention, a reasonable network topology structure can be constructed, the risks of signal interference and data loss are reduced, the stability and reliability of the network are enhanced, the subsequent network management and maintenance work is facilitated, the operation and maintenance efficiency is improved, the problems are found and solved in time, and the normal operation of the network is ensured.
As shown in fig. 3, the present invention is a step diagram for determining the connection mode of each node in a wireless network. In step S3, the step of determining a connection manner between nodes in the wireless network includes:
Step S31, determining a wire communication difficulty coefficient among nodes in the wireless network;
step S32, determining the connection mode between the corresponding nodes according to the wire communication difficulty coefficient, wherein,
If the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is larger than or equal to the preset absolute value, judging that the corresponding nodes are connected wirelessly;
if the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is smaller than the preset absolute value, judging that the corresponding nodes are connected by wires.
In implementation, the preset value of the wire communication difficulty is set to be 15, wherein the smaller the difference value between the calculated wire communication difficulty coefficients D and 15 is, the smaller the wire communication difficulty is.
In the implementation, setting the preset absolute value to 3, and if the absolute value of the difference value between the wired communication difficulty coefficients D and 15 between two nodes is smaller than 3, adopting wired connection; if the absolute value of the difference value of the wired communication difficulty coefficients D and 15 between the two nodes is more than or equal to 3, wireless connection is adopted.
Fig. 4 is a flowchart of a method for calculating a best path of a wireless network according to an embodiment of the invention. The embodiment of the invention also provides an optimal path calculation method applied to the wireless network topology establishment method, which comprises the following steps:
Step 100, obtaining node positions of a source node and a target node;
Step 200, generating a plurality of signal transmission paths based on a topology network; it can be understood that the generated signal transmission paths are all used for transmitting the signals of the source node to the target node;
step 300, respectively calculating signal strength loss parameters and data transmission aging loss parameters of each signal transmission path;
Step 400, respectively determining a weighted signal strength loss parameter and a weighted data transmission aging loss parameter;
and 500, determining an optimal path according to the weighted signal strength loss parameter and the weighted data transmission aging loss.
Specifically, the calculation process of the signal strength loss parameter includes:
acquiring communication environment parameters of network communication signals along a tunnel of a wireless network;
For a single signal transmission path, determining corresponding communication environment parameters between two nodes in wireless connection in the path respectively;
determining a signal strength loss parameter of a communication signal according to the communication environment parameters between two nodes;
wherein the communication environment parameters include signal strength and electromagnetic strength.
In practice, the signal strength loss parameter=signal strength reduction× (T-5), signal strength reduction= |difference in signal strength between two nodes.
Specifically, the calculation process of the data transmission aging loss parameter includes:
Determining the current transmission task processing time length of each wireless connected node in a single signal transmission path;
and determining the data transmission aging loss parameters of the communication signals according to the standard deviation of the current transmission task processing time length of each node.
In one embodiment, a signal transmission path includes 2 wirelessly connected nodes besides a source node and a target node, that is, the signal transmission path is a source node-node 1-node 2-target node, and then the data transmission aging loss parameter of the signal transmission path=the transmission task processing duration of the source node-node 1+the transmission task processing duration of the node 1-node 2+the transmission task processing duration of the node 2-target node.
Specifically, according to the importance of the timeliness and the accuracy of the communication data to be transmitted, respectively determining a first weighting coefficient and a second weighting coefficient of the data transmission timeliness loss parameter and the signal intensity loss parameter so as to form a weighted data transmission timeliness loss parameter and a weighted signal intensity loss parameter;
Wherein the sum of the first weighting coefficient and the second weighting coefficient is 1.
It will be appreciated that if the transmitted communication data has the same requirements for timeliness and accuracy, then the first weighting factor=the second weighting factor=0.5;
If the transmitted communication data have different requirements on timeliness and accuracy, determining a weighting coefficient according to the importance of the timeliness and the accuracy, namely, the first weighting coefficient is equal to the importance of the timeliness, and the second weighting coefficient is equal to the importance of the accuracy; for example, accuracy is required to be greater than timeliness and the importance of the accuracy is 60%, the second weighting coefficient is equal to the importance of the accuracy=0.6, and the first weighting coefficient=0.4.
Specifically, an optimal path is determined according to the weighted data transmission aging loss parameter S and the weighted signal strength loss parameter Q.
It will be appreciated that the calculation is based on the weighted data transmission age loss parameter and the weighted signal strength loss parameterLet sq=/>The data transmission path with the smallest SQ is the optimal path.
Wherein,Wherein i is the ith path, si is the weighted data transmission aging loss parameter of the ith path, and n is n paths in total; /(I)Where i is the ith path, qi is a weighted signal strength loss parameter for the ith path, and n is a total of n paths.
The optimal path calculation method applied to the wireless network can more accurately determine the optimal path by comprehensively considering factors such as signal strength, data transmission timeliness, communication environment parameters and the like, and improves the performance and reliability of the network.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A wireless network, comprising:
a wired device for communicating between corresponding network nodes through wired connection;
A wireless device for communicating between corresponding network nodes through a wireless connection;
the topology network forms a topology structure of the wireless network through the wired connection and the wireless connection so as to enable any node in the network to be connected and communicated with other nodes in the network;
the network monitor is used for monitoring the link state of the wireless network in real time and diagnosing the problem of the link with abnormal data transmission state.
2. The wireless network of claim 1, wherein the wireless network deploys the wireless network to enable data communication between any two nodes in the wireless network according to a wireless network topology establishment method, the wireless network topology establishment method comprising determining locations of nodes in the wireless network and determining connection manners between nodes in the wireless network.
3. A topology establishment method applied to the wireless network of claim 1 or 2, comprising:
acquiring a wired communication difficulty coefficient of each position in a target range of a target tunnel for establishing a wireless network;
determining the position of each node in the wireless network according to the target range;
and determining the connection mode among all nodes in the wireless network according to the wired communication difficulty coefficient.
4. A topology establishment method as recited in claim 3, wherein the step of determining the location of each node in the wireless network comprises:
determining the range of a connected network and establishing a tunnel range of a wireless network;
Determining the number and the corresponding positions of the first type network nodes according to the tunnel range of the established wireless network;
Determining the number and corresponding positions of the second type network nodes according to the position distance between any two adjacent first type network nodes;
wherein, each first type network node is at the same horizontal height, and the relative distances between any two adjacent first type network nodes in the horizontal direction are equal.
5. A topology establishment method as recited in claim 3, wherein the step of determining the manner of connection between the nodes in the wireless network comprises:
determining a wired communication difficulty coefficient among nodes in the wireless network;
Determining a connection mode between the corresponding nodes according to the wire communication difficulty coefficient, wherein,
If the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is larger than or equal to the preset absolute value, judging that the corresponding nodes are connected wirelessly;
if the absolute value of the difference value between the wired communication difficulty coefficient and the wired communication difficulty preset value is smaller than the preset absolute value, judging that the corresponding nodes are connected by wires.
6. An optimal path calculation method applied to a wireless network established by the topology establishment method of any of claims 3 to 5, comprising:
Acquiring node positions of a source node and a target node;
generating a plurality of signal transmission paths based on a topology network;
respectively calculating signal strength loss parameters and data transmission aging loss parameters of each signal transmission path;
Respectively determining a weighted signal strength loss parameter and a weighted data transmission aging loss parameter;
And determining an optimal path according to the weighted signal strength loss parameter and the weighted data transmission aging loss.
7. The optimal path computation method of claim 6, wherein the signal strength loss parameter computation process comprises:
acquiring communication environment parameters of network communication signals along a tunnel of a wireless network;
For a single signal transmission path, determining corresponding communication environment parameters between two nodes in wireless connection in the path respectively;
determining a signal strength loss parameter of a communication signal according to the communication environment parameters between two nodes;
wherein the communication environment parameters include signal strength and electromagnetic strength.
8. The optimal path computation method of claim 7, wherein the data transmission aging loss parameter calculation process comprises:
Determining the current transmission task processing time length of each wireless connected node in a single signal transmission path;
and determining the data transmission aging loss parameters of the communication signals according to the standard deviation of the current transmission task processing time length of each node.
9. The optimal path computation method of claim 8, wherein the first weighting coefficient and the second weighting coefficient of the data transmission aging loss parameter and the signal strength loss parameter are respectively determined according to the importance of the respective time and accuracy of the communication data to be transmitted, so as to form a weighted data transmission aging loss parameter and a weighted signal strength loss parameter;
Wherein the sum of the first weighting coefficient and the second weighting coefficient is 1.
10. The method of claim 9, wherein the optimal path is determined based on the weighted data transmission aging loss parameter and the weighted signal strength loss parameter.
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Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004023142A (en) * | 2002-06-12 | 2004-01-22 | Toshiba Corp | Wireless communication system |
| CN101018266A (en) * | 2006-06-16 | 2007-08-15 | 电子科技大学 | A wireless and wired integrated sensor network system |
| CN203164728U (en) * | 2013-03-29 | 2013-08-28 | 国家电网公司 | Cable tunnel remote automation monitoring system |
| CN104205188A (en) * | 2012-11-28 | 2014-12-10 | 费斯托技术教育和培训有限责任两合公司 | Automation device, method for virtual functional linking of external components and computer program product |
| US20150163844A1 (en) * | 2013-12-06 | 2015-06-11 | Airbus Operations (Sas) | Communication system in an aircraft comprising a redundant network |
| US20160316377A1 (en) * | 2013-12-20 | 2016-10-27 | Thales Canada Inc. | Method and system for estimating a topology of a network and its use in a mobile ad hoc radio network |
| CN106203526A (en) * | 2016-07-19 | 2016-12-07 | 中国人民解放军海军航空工程学院 | Target behavior pattern online classification method based on multidimensional characteristic |
| US20170303138A1 (en) * | 2016-04-15 | 2017-10-19 | Greenlee Textron Inc. | Systems And Methods For Determining And Optimizing Performance of Wireless Networks Having Multiple Access Points |
| US20180123957A1 (en) * | 2016-11-02 | 2018-05-03 | Industrial Technology Research Institute | Routing method and wireless node for wireless mesh network |
| CN110191029A (en) * | 2019-04-25 | 2019-08-30 | 深圳市国电科技通信有限公司 | It is a kind of based on wired and wireless mixing alternative working mode method |
| CN110631682A (en) * | 2019-09-26 | 2019-12-31 | 华北水利水电大学 | Strain safety monitoring method for cable tunnel bearing body |
| CN112333092A (en) * | 2020-10-22 | 2021-02-05 | 华能阜新风力发电有限责任公司 | Method and system for routing addressing of multi-hop ad hoc network |
| CN113514143A (en) * | 2021-08-10 | 2021-10-19 | 广州友智电气技术有限公司 | GIL cable tunnel online monitoring system and method |
| CN114125752A (en) * | 2021-11-04 | 2022-03-01 | 国网江苏省电力有限公司电力科学研究院 | Intelligent clustering method for power transmission pipe gallery sensor network |
| CN114205283A (en) * | 2021-12-16 | 2022-03-18 | 赫里奥(苏州)科技有限公司 | Internet of things heterogeneous network topology establishment method, network and optimal path calculation method |
| CN114529088A (en) * | 2022-02-21 | 2022-05-24 | 山东大学 | Driving path planning method and system based on accident risk cost |
| US20220248236A1 (en) * | 2019-09-19 | 2022-08-04 | Zte Corporation | Method and apparatus for adjusting wireless access terminal, access terminal and detection device |
| CN115499891A (en) * | 2022-09-21 | 2022-12-20 | 中国电子科技集团公司第三十四研究所 | Wireless channel equipment sensing and topology synchronization method under large-scale networking environment |
| CN115567949A (en) * | 2022-11-10 | 2023-01-03 | 深圳创维数字技术有限公司 | Wireless network topology optimization method and device, electronic equipment and medium |
| CN115643587A (en) * | 2022-12-05 | 2023-01-24 | 中国铁道科学研究院集团有限公司通信信号研究所 | Multi-mode railway tunnel emergency communication system using satellite communication |
| CN115696411A (en) * | 2022-10-31 | 2023-02-03 | 内蒙古智能煤炭有限责任公司 | Coal mining machine 5G optical fiber dual-redundancy link group network remote operation system |
| CN116669065A (en) * | 2022-02-28 | 2023-08-29 | 瞻博网络公司 | Successful connection metrics for monitoring and controlling wireless or wired networks |
| CN117729567A (en) * | 2024-02-07 | 2024-03-19 | 深圳市物联微电子有限公司 | Optimization method and system for wireless ad hoc network |
-
2024
- 2024-03-20 CN CN202410318156.8A patent/CN117939482B/en active Active
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004023142A (en) * | 2002-06-12 | 2004-01-22 | Toshiba Corp | Wireless communication system |
| CN101018266A (en) * | 2006-06-16 | 2007-08-15 | 电子科技大学 | A wireless and wired integrated sensor network system |
| CN104205188A (en) * | 2012-11-28 | 2014-12-10 | 费斯托技术教育和培训有限责任两合公司 | Automation device, method for virtual functional linking of external components and computer program product |
| CN203164728U (en) * | 2013-03-29 | 2013-08-28 | 国家电网公司 | Cable tunnel remote automation monitoring system |
| US20150163844A1 (en) * | 2013-12-06 | 2015-06-11 | Airbus Operations (Sas) | Communication system in an aircraft comprising a redundant network |
| US20160316377A1 (en) * | 2013-12-20 | 2016-10-27 | Thales Canada Inc. | Method and system for estimating a topology of a network and its use in a mobile ad hoc radio network |
| US20170303138A1 (en) * | 2016-04-15 | 2017-10-19 | Greenlee Textron Inc. | Systems And Methods For Determining And Optimizing Performance of Wireless Networks Having Multiple Access Points |
| CN106203526A (en) * | 2016-07-19 | 2016-12-07 | 中国人民解放军海军航空工程学院 | Target behavior pattern online classification method based on multidimensional characteristic |
| US20180123957A1 (en) * | 2016-11-02 | 2018-05-03 | Industrial Technology Research Institute | Routing method and wireless node for wireless mesh network |
| CN110191029A (en) * | 2019-04-25 | 2019-08-30 | 深圳市国电科技通信有限公司 | It is a kind of based on wired and wireless mixing alternative working mode method |
| US20220248236A1 (en) * | 2019-09-19 | 2022-08-04 | Zte Corporation | Method and apparatus for adjusting wireless access terminal, access terminal and detection device |
| CN110631682A (en) * | 2019-09-26 | 2019-12-31 | 华北水利水电大学 | Strain safety monitoring method for cable tunnel bearing body |
| CN112333092A (en) * | 2020-10-22 | 2021-02-05 | 华能阜新风力发电有限责任公司 | Method and system for routing addressing of multi-hop ad hoc network |
| CN113514143A (en) * | 2021-08-10 | 2021-10-19 | 广州友智电气技术有限公司 | GIL cable tunnel online monitoring system and method |
| CN114125752A (en) * | 2021-11-04 | 2022-03-01 | 国网江苏省电力有限公司电力科学研究院 | Intelligent clustering method for power transmission pipe gallery sensor network |
| CN114205283A (en) * | 2021-12-16 | 2022-03-18 | 赫里奥(苏州)科技有限公司 | Internet of things heterogeneous network topology establishment method, network and optimal path calculation method |
| CN114529088A (en) * | 2022-02-21 | 2022-05-24 | 山东大学 | Driving path planning method and system based on accident risk cost |
| CN116669065A (en) * | 2022-02-28 | 2023-08-29 | 瞻博网络公司 | Successful connection metrics for monitoring and controlling wireless or wired networks |
| CN115499891A (en) * | 2022-09-21 | 2022-12-20 | 中国电子科技集团公司第三十四研究所 | Wireless channel equipment sensing and topology synchronization method under large-scale networking environment |
| CN115696411A (en) * | 2022-10-31 | 2023-02-03 | 内蒙古智能煤炭有限责任公司 | Coal mining machine 5G optical fiber dual-redundancy link group network remote operation system |
| CN115567949A (en) * | 2022-11-10 | 2023-01-03 | 深圳创维数字技术有限公司 | Wireless network topology optimization method and device, electronic equipment and medium |
| CN115643587A (en) * | 2022-12-05 | 2023-01-24 | 中国铁道科学研究院集团有限公司通信信号研究所 | Multi-mode railway tunnel emergency communication system using satellite communication |
| CN117729567A (en) * | 2024-02-07 | 2024-03-19 | 深圳市物联微电子有限公司 | Optimization method and system for wireless ad hoc network |
Non-Patent Citations (3)
| Title |
|---|
| 卞佳音等: "电力电缆隧道光纤传感器变形监测系统研究", 《工程勘察》, 1 September 2017 (2017-09-01), pages 54 - 55 * |
| 王玮等: "光纤传感技术及其在智能化电缆隧道的应用", 《供用电》, 5 March 2018 (2018-03-05), pages 25 * |
| 罗静等: "浅析运营期间电力隧道自动化监测技术", 《测绘与空间地理信息》, 25 August 2016 (2016-08-25), pages 204 * |
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