CN114143206B - 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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- CN114143206B CN114143206B CN202111471752.2A CN202111471752A CN114143206B CN 114143206 B CN114143206 B CN 114143206B CN 202111471752 A CN202111471752 A CN 202111471752A CN 114143206 B CN114143206 B CN 114143206B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H04B3/54—Systems for transmission via power distribution lines
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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, wherein the method comprises the steps that a central node device discovers that a plurality of first node devices are classified according to a device type and brings first node devices belonging to the same device type into a corresponding sub-network, and the sub-network and the central node device exchange data; the central node equipment discovers the second node equipment through circulating the first scanning, judges whether the equipment types of different second node equipment have established sub-networks, distributes the second node equipment to the corresponding sub-networks if the equipment types of the different second node equipment have been established, establishes a new sub-network if the sub-networks are not established, and brings the second node equipment into the new sub-network. The beneficial effects are 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 present invention relates to the field of network topology technologies, and in particular, to a method and an apparatus for controlling a power line communication network topology.
Background
The acquisition of the network topology structure diagram is the basis of researching the characteristics of a computer network, and network management, network performance optimization, network security prediction, prevention and other works can be better performed on the basis of deep knowledge of the network topology structure.
In the prior art, a plurality of network topology structure discovery methods exist, but the topology network established by the discovery methods can generate data interference when data exchange sharing is performed, so that the data exchange among different devices in the topology network is affected, and improvement is needed.
Disclosure of Invention
The purpose of the invention is that: the method for establishing the topological network in the prior art is improved, and data interference generated when different devices in the topological network exchange and share data is eliminated.
In order to achieve the above object, the present invention provides a topology control method for a power line communication network, comprising:
the central node equipment discovers a plurality of first node equipment in a first range through first scanning, classifies the discovered plurality of first node equipment according to equipment types, establishes a plurality of sub-networks according to the equipment types included by the plurality of first node equipment, and brings first node equipment belonging to the same equipment type into corresponding sub-networks;
the central node device discovers a plurality of second node devices in a first range through circulating the first scanning, judges whether the device types of different second node devices have established sub-networks, distributes the second node devices to corresponding sub-networks if the sub-networks have been established, establishes a new sub-network if the device types of the second node devices have not established the sub-networks, and brings the second node devices into the new sub-network.
Further, the topology control method further includes:
each time one first node device or second node device is accessed to the topology network, extracting the distinguishing characteristic code of each first node device or second node device, and updating the extracted distinguishing characteristic 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 the second node device according to the distinguishing characteristic code of the first node device or the second node device.
Further, the classifying the discovered plurality of first node devices according to the device type specifically includes:
and acquiring first node information of each first node device according to the pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types pre-stored in the Q learning network, and determining the device type of each first node device.
Further, 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 device types in the Q learning network.
Further, the determining whether the device types of the different second node devices have already established a sub-network specifically includes:
and acquiring the equipment type of each second node equipment, comparing the acquired equipment type of the second node equipment with the equipment type included in the first node equipment, if the equipment type of the second node equipment is included in the equipment type included in the first node equipment, establishing a sub-network by the equipment type of the second node equipment, and if the equipment type of the second node equipment is not included in the equipment type included in the first node equipment, establishing a new sub-network by the equipment type of the second node equipment.
Further, the acquiring the device type of each second node device specifically includes:
and acquiring second node information of each second node device according to the pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node device, respectively comparing each extracted second distinguishing feature code with distinguishing feature codes of different device types pre-stored in the Q learning network, and determining the device type of each second node device.
Further, after the second node device is allocated 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 device 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 a plurality of first node devices in a first range through first scanning, classify the discovered plurality of first node devices according to device types, establish a plurality of subnetworks according to device types included in the plurality of first node devices, and incorporate first node devices belonging to the same device type into corresponding subnetworks;
the second topology module is configured to discover a plurality of second node devices in a first range by cycling the first scan, determine whether device types of different second node devices have established a sub-network, allocate the second node devices to corresponding sub-networks if the sub-network has 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 do not establish the 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 each second node device after each first node device or each second node device is accessed 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 type specifically includes:
and acquiring first node information of each first node device according to the pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types 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 device provided by the embodiment of the invention have the beneficial effects that: setting up a central node device, setting up a plurality of sub-networks through the central node device, wherein the node devices with the same device type belong to the same sub-network, and carrying out data exchange in the same sub-network so as to avoid data interference among different device 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 describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
Example 1:
as shown in fig. 1, the invention discloses a topology control method of a power line communication network, which is applied to the establishment of the power line communication network and mainly comprises the following steps:
step S1, a central node device discovers a plurality of first node devices in a first range through first scanning, classifies the discovered plurality of first node devices according to device types, establishes a plurality of sub-networks according to the device types included in the plurality of first node devices, and brings first node devices belonging to the same device type into corresponding sub-networks;
step S2, the center node device discovers a plurality of second node devices in a first range through circulating the first scanning, judges whether the device types of different second node devices have established sub-networks, distributes the second node devices to corresponding sub-networks if the sub-networks have been established, establishes a new sub-network if the device types of the second node devices have not established the sub-networks, and brings the second node devices into the new sub-networks.
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.
The devices in a communication network are of a plurality of types, and if all the device types are in the same network, data exchange between the same device types can cause data interference to data exchange between other same device types, and improvements in the method of establishing the communication network are needed.
In step S1, the first node device is found to be in the prior art through 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. As long as the data communication function is provided, it can be regarded as the first node device. 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 as to quickly classify the node devices.
After classifying 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 three mobile phones, three cameras and four printers. Because only three device types are available, only three sub-networks are established, the first sub-network incorporates three handsets, the second sub-network incorporates three cameras, and the third sub-network incorporates four printers. When the node devices of the same device type exchange data, the data exchange is only performed 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 connected, so that the first scan needs to be continuously performed to continuously discover new node devices, and the newly discovered node devices are denoted by second node devices.
Since a plurality of sub-networks have been initially established, when the second node device is newly discovered, it is directly judged whether the device type of the second node device, and whether the device type has established a sub-network. If two mobile phones and one router are newly found, the two mobile phones are directly incorporated into the first sub-network, a fourth sub-network is built again, and the router is incorporated into the fourth sub-network.
In this embodiment, a central node device is set up, a plurality of sub-networks are set up through 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 quickly determined, the node device cannot be quickly allocated to the corresponding sub-network, and then a new sub-network is established.
In this embodiment, the topology control method further includes:
each time one first node device or second node device is accessed to the topology network, extracting the distinguishing characteristic code of each first node device or second node device, and updating the extracted distinguishing characteristic 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 the second node device according to the distinguishing characteristic code of the first node device or the second node device.
Through Q learning network continuously discovers and records the distinguishing feature codes of node equipment, through continuous learning, all the distinguishing feature codes of each equipment type can be discovered, 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 corresponding sub-networks.
In this embodiment, different node devices may exchange data with the central node device, and when the node devices of different sub-networks need to exchange data, the data exchange is performed by the central node device.
Example 2:
the technical solution will be described in more detail on the basis of embodiment 1, in this embodiment, the first node device and the second node device are defined identically to those in embodiment 1.
Step S1, a central node device discovers a plurality of first node devices in a first range through first scanning, classifies the discovered plurality of first node devices according to device types, establishes a plurality of sub-networks according to the device types included in the plurality of first node devices, and brings the first node devices belonging to the same device type into corresponding sub-networks.
Step S2, the center node device discovers a plurality of second node devices in a first range through circulating the first scanning, judges whether the device types of different second node devices have established sub-networks, distributes the second node devices to corresponding sub-networks if the sub-networks have been established, establishes a new sub-network if the device types of the second node devices have not established the sub-networks, and brings the second node devices into the new sub-networks.
In step S1, the discovered plurality of first node devices are classified according to device types, specifically:
and acquiring first node information of each first node device according to the pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types 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, more time is required to determine the device type of the first node device, but if the learning samples of the Q learning network are continuously increased, the speed of identifying the device type of the node device is gradually increased.
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 device types in the Q learning network.
In this embodiment, the pre-trained Q learning network learns the distinguishing feature codes obtained by the node devices discovered each time, and continuously updates itself. And after a new distinguishing characteristic code is added, the Q learning network is optimized.
In step S2, in this embodiment, the determining whether the device types of the different second node devices have already established a sub-network specifically includes:
and acquiring the equipment type of each second node equipment, comparing the acquired equipment type of the second node equipment with the equipment type included in the first node equipment, if the equipment type of the second node equipment is included in the equipment type included in the first node equipment, establishing a sub-network by the equipment type of the second node equipment, and if the equipment type of the second node equipment is not included in the equipment type included in the first node equipment, establishing a new sub-network by the equipment type of the second node equipment.
In this embodiment, the acquiring the device type of each second node device specifically includes:
and acquiring second node information of each second node device according to the pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node device, respectively comparing each extracted second distinguishing feature code with distinguishing feature codes of different device types pre-stored in the Q learning network, and determining the device type of each second node device.
In this embodiment, after the second node device is allocated 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 device types in the Q learning network.
In this embodiment, after a new sub-network is established and the second node device is incorporated into the new sub-network, the distinguishing feature codes of the second node device in the new sub-network are also extracted and added to the distinguishing feature code library of the different devices.
Example 3:
referring to fig. 2, 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 101 and a second topology module 102.
The first topology module 101 is configured to discover a plurality of first node devices in a first range through a first scan, classify the discovered plurality of first node devices according to device types, establish a plurality of subnetworks according to device types included in the plurality of first node devices, and incorporate first node devices belonging to the same device type into corresponding subnetworks; the first node equipment and the central node equipment in the sub-network exchange data;
the second topology module 102 is configured to discover a plurality of second node devices within a first range by cycling the first scan, determine whether device types of different second node devices have established a sub-network, allocate the second node devices to corresponding sub-networks if the sub-network has 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 the sub-network; and the second node equipment and the central node equipment in the sub-network or the new sub-network exchange data.
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 each second node device after each first node device or each second node device is accessed 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, according to the device type, the discovered plurality of first node devices specifically includes:
and acquiring first node information of each first node device according to the pre-trained Q learning network, respectively extracting first distinguishing feature codes of each first node device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types pre-stored in the Q learning network, and determining the device type of each first node device.
Example 3 was written on the basis of example 1, example 2, the technical definitions and explanations in example 1 and example 2 apply equally to example 3, so that the repeated definitions and explanations are not repeated in example 3.
In summary, the embodiment of the invention provides a topology control method and device for a power line communication network, which have the beneficial effects that compared with the prior art: setting up a central node device, setting up a plurality of sub-networks through the central node device, wherein the node devices with the same device type belong to the same sub-network, and carrying out data exchange in the same sub-network so as to avoid data interference among different device types.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that modifications and substitutions can be made by those skilled in the art without departing from the technical principles of the present invention, and these modifications and substitutions should also be considered as being within the scope of the present invention.
Claims (5)
1. A power line communication network topology control method, comprising:
the central node device discovers a plurality of first node devices in a first range through first scanning, classifies the discovered plurality of first node devices according to device types, and specifically comprises the following steps:
acquiring 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 device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are always pre-stored in the Q learning network, and determining the device type of each first node device;
establishing a plurality of sub-networks according to the equipment types included in the plurality of first node equipment, incorporating the first node equipment belonging to the same equipment type into the corresponding sub-network, and updating the extracted plurality of first distinguishing feature codes into distinguishing feature code libraries of different equipment types in the Q learning network;
the central node equipment discovers a plurality of second node equipment in a first range through circulating first scanning, judges whether equipment types of different second node equipment have established sub-networks, distributes the second node equipment to corresponding sub-networks if the sub-networks have been established, establishes a new sub-network if the equipment types of the second node equipment do not establish the sub-networks, and brings the second node equipment into the new sub-network;
each time one first node device or second node device is accessed to the topology network, extracting the distinguishing characteristic code of each first node device or second node device, and updating the extracted distinguishing characteristic 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 the second node device according to the distinguishing characteristic code of the first node device or the second node device.
2. The topology control method of claim 1, wherein the determining whether the device type of the different second node device has established a sub-network is specifically:
and acquiring the equipment type of each second node equipment, comparing the acquired equipment type of the second node equipment with the equipment type included in the first node equipment, if the equipment type of the second node equipment is included in the equipment type included in the first node equipment, establishing a sub-network by the equipment type of the second node equipment, and if the equipment type of the second node equipment is not included in the equipment type included in the first node equipment, establishing a new sub-network by the equipment type of the second node equipment.
3. The method for controlling the topology of the power line communication network according to claim 2, 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 the pre-trained Q learning network, respectively extracting second distinguishing feature codes of each second node device, respectively comparing each extracted second distinguishing feature code with distinguishing feature codes of different device types pre-stored in the Q learning network, and determining the device type of each second node device.
4. A topology control method of a power line communication network according to claim 3, characterized in that 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 device types in the Q learning network.
5. The topology control device of the power line communication network is characterized by comprising a central node device, wherein the central node device comprises an optimization module, a first topology module and a second topology module;
the first topology module is configured to discover a plurality of first node devices in a first range through a first scan, and classify the discovered plurality of first node devices according to device types, specifically:
acquiring 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 device, respectively comparing each extracted first distinguishing feature code with distinguishing feature codes of different device types which are always pre-stored in the Q learning network, and determining the device type of each first node device;
establishing a plurality of sub-networks according to the equipment types included in the first node equipment, and incorporating the first node equipment belonging to the same equipment type into the corresponding sub-network; updating the extracted first distinguishing feature codes to a distinguishing feature code library of different equipment types in the Q learning network;
the second topology module is configured to discover a plurality of second node devices in a first range by cycling the first scan, determine whether device types of different second node devices have established a sub-network, allocate the second node devices to corresponding sub-networks if the sub-network has been established, establish a new sub-network if the device types of the second node devices have not established the sub-network, and incorporate the second node devices into the new sub-network;
the optimization module is used for extracting the distinguishing feature codes of each first node device or each second node device after each first node device or each second node device is accessed 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.
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