CN114143206A - Power line communication network topology control method and device - Google Patents
Power line communication network topology control method and device Download PDFInfo
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- CN114143206A CN114143206A CN202111471752.2A CN202111471752A CN114143206A CN 114143206 A CN114143206 A CN 114143206A CN 202111471752 A CN202111471752 A CN 202111471752A CN 114143206 A CN114143206 A CN 114143206A
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Abstract
The invention belongs to the technical field of network topology, and discloses a power line communication network topology control method and a device, which comprises a central node device, a plurality of first node devices, a plurality of sub-networks and a central node device, wherein the central node device finds that the first node devices are classified according to device types, the first node devices belonging to the same device type are brought into the corresponding sub-networks, and the sub-networks exchange data with the central node device; the central node device finds the second node device through the cyclic first scanning, judges whether the device types of different second node devices establish a sub-network or not, if so, allocates the second node device to the corresponding sub-network, and if not, establishes a new sub-network and brings the second node device into the new sub-network. Has the advantages that: a plurality of sub-networks are established through the central node equipment, the node equipment with the same equipment type belongs to the same sub-network, and data exchange is carried out in the same sub-network to avoid data interference among different equipment types.
Description
Technical Field
The invention relates to the technical field of network topology, in particular to a power line communication network topology control method and device.
Background
The acquisition of the network topology structure diagram is the basis of researching the computer network characteristics, and the network management, the network performance optimization, the network security prediction and prevention and other works can be better carried out on the basis of deeply knowing the network topology structure.
In the prior art, there are various network topology structure discovery methods, but a topology network established by these discovery methods may generate data interference when performing data exchange sharing, affect data exchange between different devices in the topology network, and need to be improved.
Disclosure of Invention
The purpose of the invention is: the method for establishing the topological network in the prior art is improved, and the data interference generated when different devices in the topological network perform data exchange and sharing is eliminated.
In order to achieve the above object, the present invention provides a topology control method for a power line communication network, including:
the central node device discovers a plurality of first node devices in a first range through first scanning, classifies the discovered first node devices according to device types, establishes a plurality of sub-networks according to the device types included by the first node devices and brings the first node devices belonging to the same device type into the corresponding sub-networks;
the central node device finds a plurality of second node devices within the first range through cyclic first scanning, judges whether the device types of different second node devices establish a sub-network or not, allocates the second node devices to the corresponding sub-networks if the sub-networks have been established, and establishes a new sub-network and brings the second node devices into the new sub-network if the device types of the second node devices do not establish the sub-networks.
Further, the topology control method further includes:
and after each first node device or second node device is accessed to the topology network, extracting the distinguishing feature code of each first node device or second node device, and updating the extracted distinguishing feature code into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or second node device according to the distinguishing feature code of the first node device or second node device.
Further, the classifying the discovered plurality of first node devices according to the device types specifically includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
Further, after the first node device is included in the corresponding sub-network, the topology control method further includes:
and updating the extracted plurality of first distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
Further, the determining whether the device types of the different second node devices have established the sub-network specifically includes:
the device type of each second node device is acquired, the acquired device type of the second node device is compared with the device type included in the first node device, if the device type of the second node device is included in the device type included in the first node device, the device type of the second node device already establishes a sub-network, and if the device type of the second node device is not included in the device type included in the first node device, the device type of the second node device needs to establish a new sub-network.
Further, the obtaining the device type of each second node device specifically includes:
and acquiring second node information of each second node device according to a pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node information, and comparing each extracted second distinguishing feature code with the distinguishing feature codes of different device types which are pre-stored in the Q learning network to determine the device type of each second node device.
Further, after the second node device is assigned to the corresponding sub-network, the topology control method further includes:
and updating the extracted plurality of second distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
The invention also discloses a topology control device of the power line communication network, which comprises a central node device, wherein the central node device comprises a first topology module and a second topology module;
the first topology module is configured to discover, through a first scan, a plurality of first node devices within a first range, classify the discovered plurality of first node devices according to device types, establish a plurality of sub-networks according to device types included in the plurality of first node devices, and include the first node devices belonging to the same device type in the corresponding sub-networks;
the second topology module is configured to discover, through the cyclic first scan, a plurality of second node devices within the first range, and determine whether the device types of different second node devices have already established a sub-network, allocate the second node devices to a corresponding sub-network if the sub-network has already been established, and establish a new sub-network and incorporate the second node devices into the new sub-network if the device types of the second node devices have not established a sub-network.
Further, the control device further includes: an optimization module;
the optimization module is used for extracting the distinguishing feature codes of each first node device or second node device after one first node device or second node device is connected to the topology network, and updating the extracted distinguishing feature codes into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or the second node device according to the distinguishing feature codes of the first node device or the second node device.
Further, the classifying the discovered plurality of first node devices according to the device types specifically includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
Compared with the prior art, the power line communication network topology control method and the device have the advantages that: the method comprises the steps of setting up center node equipment, establishing a plurality of sub-networks through the center node equipment, enabling the node equipment with the same equipment type to belong to the same sub-network, and carrying out data exchange in the same sub-network to avoid data interference among different equipment types.
Drawings
Fig. 1 is a schematic flow chart of a topology control method of a power line communication network according to the present invention;
fig. 2 is a schematic structural diagram of a topology control device of a power line communication network according to the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Example 1:
as shown in fig. 1, the present invention discloses a topology control method for a power line communication network, which is applied to establish a power line communication network and mainly comprises the following steps:
step S1, the central node device discovers a plurality of first node devices within a first range through first scanning, classifies the discovered first node devices according to device types, establishes a plurality of sub-networks according to device types included in the first node devices, and brings the first node devices belonging to the same device type into the corresponding sub-networks;
step S2, the central node device finds a plurality of second node devices within the first range through the loop first scan, and determines whether the device types of different second node devices have already established a sub-network, if so, allocates the second node devices to the corresponding sub-networks, and if not, establishes a new sub-network and incorporates the second node devices into the new sub-network.
In this embodiment, a new device is added to an existing power communication network as a central node device, or a node device is selected from an old network as a central node device.
There are numerous types of devices in a communication network, and if all the types of devices are in the same network, data exchange between the same device type will cause data interference with data exchange between other same device types, and improvements in the method of establishing a communication network are needed.
In step S1, the first node device is found to be a related art by scanning, and the first node device may be a printer, a camera, a mobile phone, a router, or the like having a data communication function. The first node device may be regarded as long as the data communication function is provided. The second node device in this embodiment includes the same device type as the first node device.
When the device types are classified, the node devices can be classified through the distinguishing feature codes of the node devices, and the distinguishing feature codes of different device types are stored, so that the node devices can be classified quickly.
After the classification of the first node device, the device type included in the first node device may be obtained. For example, ten first node devices are found, and after classification, three device types are obtained: the mobile phone comprises a mobile phone body, a camera and a printer, wherein the mobile phone body is three, the camera is three, and the printer is four. Since only three device types are available, only three sub-networks are established, the first sub-network incorporating three handsets, the second sub-network incorporating three cameras, and the third sub-network incorporating four printers. When node devices of the same device type exchange data, the data exchange is performed only in the sub-network.
In step S2, since the node devices in the power communication network are continuously connected or disconnected, after the initialization is started, other node devices are also connected, and therefore, it is necessary to continuously perform the first scan to continuously discover a new node device and to refer the newly discovered node device to a second node device.
Since several sub-networks have already been preliminarily established, when the second node device is newly found, the device type of the second node device, and whether or not the device type and the sub-network are established are directly judged. If two handsets and a router are newly discovered, the two handsets are directly included in the first sub-network, and a fourth sub-network is established again, and the router is included in the fourth sub-network.
In this embodiment, a central node device is set up, a plurality of sub-networks are established by the central node device, node devices of the same device type belong to the same sub-network, and data exchange is performed in the same sub-network to avoid data interference between different device types.
In the prior art, it takes much time to identify the device type of the node device, and if the device type of the node device cannot be determined quickly, the node device cannot be allocated to the corresponding sub-network quickly and a new sub-network cannot be established.
In this embodiment, the topology control method further includes:
and after each first node device or second node device is accessed to the topology network, extracting the distinguishing feature code of each first node device or second node device, and updating the extracted distinguishing feature code into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or second node device according to the distinguishing feature code of the first node device or second node device.
The distinguishing feature codes of the node equipment are continuously discovered and recorded through the Q learning network, all the distinguishing feature codes of each equipment type can be discovered through continuous learning, when new node equipment is discovered again, the distinguishing feature codes of the newly discovered equipment are directly inquired to belong to the equipment type, the equipment type can be rapidly determined, and then the distinguishing feature codes are rapidly distributed to the corresponding sub-networks.
In this embodiment, different node devices may perform data exchange with the central node device, and when the node devices of different sub-networks need to perform data exchange, the data exchange is performed through the central node device.
Example 2:
a more detailed description is given of the technical solution on the basis of embodiment 1, and in this embodiment, the first node device and the second node device are defined in the same way as in embodiment 1.
Step S1, the central node device discovers, through the first scan, a plurality of first node devices within the first range, classifies the discovered plurality of first node devices according to device types, establishes a plurality of sub-networks according to device types included in the plurality of first node devices, and includes the first node devices belonging to the same device type in the corresponding sub-networks.
Step S2, the central node device finds a plurality of second node devices within the first range through the loop first scan, and determines whether the device types of different second node devices have already established a sub-network, if so, allocates the second node devices to the corresponding sub-networks, and if not, establishes a new sub-network and incorporates the second node devices into the new sub-network.
In step S1, the classifying the discovered first node devices according to device types includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
Since the learning samples in the Q learning network are insufficient initially, it takes a long time to determine the device type of the first node device, but if the learning samples of the Q learning network are increased continuously, the speed of identifying the device type of the node device is increased gradually.
In this embodiment, after the first node device is incorporated into the corresponding sub-network, the topology control method further includes:
and updating the extracted plurality of first distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
In this embodiment, the pre-trained Q learning network learns the distinctive feature codes obtained by the node devices discovered each time, and continuously updates itself. And optimizing the Q learning network after new distinguishing feature codes are added.
In step S2, in this embodiment, the determining whether the device type of the different second node device has already established the sub-network specifically includes:
the device type of each second node device is acquired, the acquired device type of the second node device is compared with the device type included in the first node device, if the device type of the second node device is included in the device type included in the first node device, the device type of the second node device already establishes a sub-network, and if the device type of the second node device is not included in the device type included in the first node device, the device type of the second node device needs to establish a new sub-network.
In this embodiment, the obtaining the device type of each second node device specifically includes:
and acquiring second node information of each second node device according to a pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node information, and comparing each extracted second distinguishing feature code with the distinguishing feature codes of different device types which are pre-stored in the Q learning network to determine the device type of each second node device.
In this embodiment, after the second node device is assigned to the corresponding sub-network, the topology control method further includes:
and updating the extracted plurality of second distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
In this embodiment, after a new sub-network is established and the second node device is included in the new sub-network, the distinctive feature code of the second node device in the new sub-network is also extracted and added to the distinctive feature code library of the different device.
Example 3:
referring to fig. 2, the present invention also discloses a topology control apparatus for a power line communication network, which includes a central node device, where the central node device includes a first topology module 101 and a second topology module 102.
The first topology module 101 is configured to discover, through a first scan, a plurality of first node devices within a first range, classify the discovered plurality of first node devices according to device types, establish a plurality of sub-networks according to device types included in the plurality of first node devices, and include the first node devices belonging to the same device type in the corresponding sub-networks; the first node equipment in the sub-network exchanges data with the central node equipment;
the second topology module 102 is configured to discover, through cyclic first scanning, a plurality of second node devices within a first range, and determine whether the device types of different second node devices have already established a sub-network, if the sub-network has already been established, allocate the second node devices to a corresponding sub-network, and if the device type of the second node device has not established a sub-network, establish a new sub-network and incorporate the second node devices into the new sub-network; the second node device in the sub-network or the new sub-network exchanges data with the central node device.
In this embodiment, the control device further includes: an optimization module;
the optimization module is used for extracting the distinguishing feature codes of each first node device or second node device after one first node device or second node device is connected to the topology network, and updating the extracted distinguishing feature codes into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or the second node device according to the distinguishing feature codes of the first node device or the second node device.
In this embodiment, the classifying the discovered first node devices according to the device types specifically includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
Example 3 is written on the basis of example 1 and example 2, and the technical definitions and explanations in example 1 and example 2 are also applicable to example 3, so that the repeated definitions and explanations are not repeated in example 3.
To sum up, the embodiments of the present invention provide a method and an apparatus for controlling topology of power line communication network, which have the following advantages: the method comprises the steps of setting up center node equipment, establishing a plurality of sub-networks through the center node equipment, enabling the node equipment with the same equipment type to belong to the same sub-network, and carrying out data exchange in the same sub-network to avoid data interference among different equipment types.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and substitutions can be made without departing from the technical principle of the present invention, and these modifications and substitutions should also be regarded as the protection scope of the present invention.
Claims (10)
1. A topology control method for a power line communication network, comprising:
the central node device discovers a plurality of first node devices in a first range through first scanning, classifies the discovered first node devices according to device types, establishes a plurality of sub-networks according to the device types included by the first node devices and brings the first node devices belonging to the same device type into the corresponding sub-networks;
the central node device finds a plurality of second node devices within the first range through cyclic first scanning, judges whether the device types of different second node devices establish a sub-network or not, allocates the second node devices to the corresponding sub-networks if the sub-networks have been established, and establishes a new sub-network and brings the second node devices into the new sub-network if the device types of the second node devices do not establish the sub-networks.
2. The topology control method for power line communication network according to claim 1, wherein the topology control method further comprises:
and after each first node device or second node device is accessed to the topology network, extracting the distinguishing feature code of each first node device or second node device, and updating the extracted distinguishing feature code into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or second node device according to the distinguishing feature code of the first node device or second node device.
3. The topology control method for the power line communication network according to claim 1, wherein the classifying the discovered first node devices according to device types includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
4. The topology control method for power line communication network according to claim 3, wherein after incorporating the first node device into the corresponding sub-network, the topology control method further comprises:
and updating the extracted plurality of first distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
5. The method according to claim 1, wherein the determining whether the device type of the different second node device has established a sub-network is specifically:
the device type of each second node device is acquired, the acquired device type of the second node device is compared with the device type included in the first node device, if the device type of the second node device is included in the device type included in the first node device, the device type of the second node device already establishes a sub-network, and if the device type of the second node device is not included in the device type included in the first node device, the device type of the second node device needs to establish a new sub-network.
6. The method for controlling topology of power line communication network according to claim 5, wherein the obtaining the device type of each second node device specifically comprises:
and acquiring second node information of each second node device according to a pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node information, and comparing each extracted second distinguishing feature code with the distinguishing feature codes of different device types which are pre-stored in the Q learning network to determine the device type of each second node device.
7. The topology control method of power line communication network according to claim 6, wherein after assigning the second node device to the corresponding sub-network, the topology control method further comprises:
and updating the extracted plurality of second distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network.
8. A topology control device of a power line communication network is characterized by comprising a central node device, wherein the central node device comprises a first topology module and a second topology module;
the first topology module is configured to discover, through a first scan, a plurality of first node devices within a first range, classify the discovered plurality of first node devices according to device types, establish a plurality of sub-networks according to device types included in the plurality of first node devices, and include the first node devices belonging to the same device type in the corresponding sub-networks;
the second topology module is configured to discover, through the cyclic first scan, a plurality of second node devices within the first range, and determine whether the device types of different second node devices have already established a sub-network, allocate the second node devices to a corresponding sub-network if the sub-network has already been established, and establish a new sub-network and incorporate the second node devices into the new sub-network if the device types of the second node devices have not established a sub-network.
9. The topology control device of power line communication network according to claim 8, wherein said control device further comprises: an optimization module;
the optimization module is used for extracting the distinguishing feature codes of each first node device or second node device after one first node device or second node device is connected to the topology network, and updating the extracted distinguishing feature codes into a pre-trained Q learning network of the central node device, wherein the pre-trained Q learning network is used for determining the device type of the first node device or the second node device according to the distinguishing feature codes of the first node device or the second node device.
10. The topology control device for power line communication network according to claim 8, wherein the classifying the discovered first node devices according to device types includes:
the method comprises the steps of obtaining first node information of each first node device according to a pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node information, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are pre-stored in the Q learning network, and determining the device type of each first node device.
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