CN114531701B - Cooperative optimization method for heterogeneous network in extra-high voltage direct current control protection system - Google Patents
Cooperative optimization method for heterogeneous network in extra-high voltage direct current control protection system Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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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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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/60—Arrangements for transfer of electric power between AC networks or generators via a high voltage DC link [HVCD]
Abstract
The invention discloses a collaborative optimization method for data transmission reliability and topological robustness of a heterogeneous network in an extra-high voltage direct current control and protection system, which comprises the following steps: 1, initializing a network structure; 2 obtaining a local two-hop topology of the node u and a self adjacent node set based on two information interactions3 topology construction based on local two-hop topology; 4, the transmitting node transmits information data to the receiving node at the time t; 5 detecting SNR value and N of receiving node at t time t A value; calculating a reliability evaluation index of the receiving node at the time t; carrying out optimization solution on the network control quantity to obtain the optimal network control quantity P; and 8, assigning P to P, and assigning T+1 to T, and returning to the step 5 until the SNR is more than or equal to delta. The invention can realize the collaborative optimization of the reliability of network data transmission and the robustness of network topology, thereby improving the safety and stability of the network and having better robustness and reliability.
Description
Technical Field
The invention relates to the field of distributed transmission control of communication networks, in particular to a collaborative optimization method for data transmission reliability and network topology robustness of a heterogeneous network in an extra-high voltage direct current protection system.
Background
The extra-high voltage is not only engineering construction, but also an independent technology, related research is required to be developed by combining the basic principle of environmental friendliness in development, and the independent research is performed by combining the prior data, so that the technology can be completely innovated with the time-oriented approach. The method has the advantages that mature experience cannot be used for reference in autonomous research, a certain obstacle is brought to a great number of scientific research subjects and design subject researches, but the ultra-high voltage core technology and key technology are mastered through innovative design, the follow-up perfection is based on the principle of safety, reliability, economy and rationality, the ultra-high voltage construction is continuously advanced, the first ultra-high voltage technology system in the world is finally established, and the method is gradually accepted by all world.
With the development of mobile communication technology and the application of third generation all-digital video monitoring systems, various wired and wireless network access technologies are perfectly applied to fixed or mobile terminals, and the network types include: ethernet, 3G/4G, CDPD, WIFI, bluetooth, etc., the present technology may enable a mobile terminal to have a variety of different network access ports. At present, the most widely applied traditional TCP communication protocol uses a single transmission channel on a terminal to transmit data, which results in that part of available network resources are idle, and other network resources in use generate transmission congestion due to the competition relationship of parallel channels, so that the mobile terminal cannot fully utilize the effective network resources and cannot transmit video data with high efficiency. On the other hand, when the mobile terminal uses the network switching function, the traditional TCP communication protocol cannot maintain the existing TCP connection state, so that the connection is forcedly interrupted, and video data cannot be continuously transmitted.
Currently, heterogeneous network data transmission research is mainly focused on an application layer, a network layer and a transmission layer. The application layer adopts a plurality of TCP protocol paths for data transmission, and each TCP protocol corresponds to one sub-path. The task of the application layer is to distribute the data to different sub-paths, the network layer does not need to modify the protocol stack of the system, and the multi-path transmission function can be used by adding corresponding libraries. However, implementing the multipath transmission function at the transmission layer requires increasing complexity of application programming, and developers often need to use new multipath transmission functions based on the original standard functions, which clearly increases difficulty and workload of application programming. If the multi-path transmission is to be realized on the application layer, both the transmitting end and the receiving end are required to realize the multi-path transmission function, and the compatibility is low. In order to achieve multipath transmission, the best solution is to process at the transport layer.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to solve the problems of data transmission reliability, network topology robustness and the like of a heterogeneous network in an extra-high voltage direct current control and protection system, and provides a cooperative optimization method of the heterogeneous network in the extra-high voltage direct current control and protection system, so as to realize optimization of the heterogeneous network and improve the data transmission reliability and the network topology robustness of the heterogeneous network.
The invention adopts the following technical scheme for solving the technical problems:
the invention discloses a cooperative optimization method of a heterogeneous network in an extra-high voltage direct current protection system, which is characterized by comprising the following steps of:
step 1, constructing an initial structure of a heterogeneous network, and defining neighbor nodes of a u-th node as all nodes capable of receiving information sent by the u-th node;
step 2, the u-th node in the initial structure and all adjacent nodes thereof respectively perform two times of information interaction,obtaining a local two-hop topology of the u-th nodeSimultaneously, the u node acquires information and position information of all adjacent nodes of the u node to obtain a self adjacent node set of the u node>
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node calculates a self neighbor node set by using the method (1)Minimum transmitting power P required by any mth node and nth node for data transmission m,n ：
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; d, d m,n Is the distance between the mth node and the nth node;
step 3.2, judging whether the mth node and the nth node have a connection relationship, if P m,n Maximum transmit power P less than the u-th node max The connection relation between the mth node and the nth node is shown; otherwise, the connection relation between the mth node and the nth node is not existed;
step 3.3, the u-th node obtains a local generation topology S through the local two-hop topology of all the adjacent nodes of the u-th node u ；
Step 4, generating topology S according to the local area u Setting a transmitting node and a receiving node;
step 5, the transmitting node transmits any information data to the receiving node at the time t through the RF transceiver at the transmitting power P;
step 6, the receiving nodeThe RF transceiver of (1) receives the information data from the transmitting node at the time t and detects the RSSI of the receiving node at the time t t And a noise floor value N of the environment in which the receiving node is located t ；
Step 7, obtaining a wireless communication reliability evaluation index SNR of the receiving node at the time t according to the step (2) t ：
SNR t ＝RSSI t -N t (2)
Step 8, the transmitting node uses a Kalman filter to evaluate the received reliability index SNR t Filtering to obtain optimal control quantity P of the network;
step 9, assigning P to the transmit power P of the RF transceiver of the transmitting node, assigning t+1 to t, and returning to step 5 until SNR t And (3) not less than delta, so as to obtain the heterogeneous network with the cooperative optimization of the data transmission reliability and the network topology robustness, wherein delta represents the set reliability evaluation index threshold.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention constructs network topology through two times of information interaction between the u node and all adjacent points; compared with the traditional method, the method does not need a central control node, and the robustness of the network topology is greatly improved.
2. The invention provides a wireless communication reliability evaluation index SNR of a receiving node at t moment t And filtering processing is carried out to filter random noise of data, so that the optimal control quantity P of the network is obtained, and the reliability of heterogeneous network data transmission is improved.
Drawings
Fig. 1 is a flowchart of collaborative optimization of data transmission reliability and network topology robustness of a heterogeneous network in an extra-high voltage direct current control and protection system.
Detailed Description
In this embodiment, referring to fig. 1, a collaborative optimization method for data transmission reliability and network topology robustness of a heterogeneous network in an extra-high voltage direct current protection system is implemented by performing two times of information interaction between a node in an initial structure of a constructed heterogeneous network and all neighboring nodes thereof to obtain a local generation topology, calculating a reliability evaluation index according to information received by a receiving node of the local generation topology, and performing filtering processing on the reliability evaluation index to obtain an optimal control amount P of the network, thereby adjusting the transmitting power of an RF transceiver of a transmitting node to an optimal transmitting power, and specifically, the method is implemented as follows:
step 1, constructing an initial structure of a heterogeneous network, and defining neighbor nodes of a u-th node as all nodes capable of receiving information sent by the u-th node;
step 2, the (u) th node in the initial structure performs two times of information interaction with all adjacent nodes respectively, and during the first information interaction, the node u randomly selects an idle channel and uses the maximum power P max A HELLO-1 packet containing the ID number and location information of the node is broadcast. Each node u obtains a set of neighboring nodesAnd the position information of the adjacent node, and the neighbor discovery task is completed. During the second information interaction, each node u sends HELLO-2 packets containing the acquired neighbor node information and the position information thereof, and each node u obtains the local two-hop topology of the u-th node according to the HELLO-2 packets sent by the neighbor nodes of the node u>
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node calculates the self adjacent node set by using the method (1)Minimum transmitting power P required by any mth node and nth node for data transmission m,n ：
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; d, d m,n Is the distance between the mth node and the nth node;
step 3.2, judging whether the mth node and the nth node have a connection relationship, if P m,n Maximum transmit power P less than the u-th node max The connection relation between the mth node and the nth node is shown; otherwise, the connection relation between the mth node and the nth node is not existed;
step 3.3, the u node obtains a local generation topology S through the local two-hop topology of all adjacent nodes of the u node u ；
Step 4, generating topology S according to the local u Setting a transmitting node and a receiving node;
step 5, the transmitting node transmits any information data to the receiving node at the time t through the RF radio frequency transceiver at the transmitting power P;
step 6, the RF transceiver of the receiving node receives the information data at the time t sent by the transmitting node, and detects the RSSI of the receiving node at the time t t And a noise floor value N of the environment in which the receiving node is located t ；
Step 7, obtaining the wireless communication reliability evaluation index SNR of the receiving node at the time t according to the step 2 t ：
SNR t ＝RSSI t -N t (2)
Step 8, the transmitting node utilizes a Kalman filter to evaluate the SNR of the index of reliability to be received t Filtering to remove random noise of data and obtain optimal control quantity P of the network;
step 9, assigning P to the transmit power P of the RF transceiver of the transmitting node, assigning t+1 to t, and returning to step 5 until the SNR is reached t And (3) not less than delta, so that the heterogeneous network with the cooperative optimization of data transmission reliability and network topology robustness in the extra-high voltage direct current control and protection system is obtained, wherein delta represents the set reliability evaluation index threshold value. This embodimentDelta=100 dm.
Claims (1)
1. A cooperative optimization method of a heterogeneous network in an extra-high voltage direct current protection system is characterized by comprising the following steps:
step 1, constructing an initial structure of a heterogeneous network, and defining neighbor nodes of a u-th node as all nodes capable of receiving information sent by the u-th node;
step 2, the (u) th node in the initial structure performs two times of information interaction with all adjacent nodes respectively, and during the first information interaction, the node u randomly selects an idle channel and uses the maximum power P max Broadcasting a HELLO-1 packet containing the ID number and location information of the node; each node u obtains a set of neighboring nodesAnd the position information of the adjacent node, finish the neighbor to find the task; during the second information interaction, each node u sends HELLO-2 packets containing the acquired neighbor node information and the position information thereof, and each node u obtains the local two-hop topology of the u-th node according to the HELLO-2 packets sent by the neighbor nodes of the node u>Simultaneously, the u node acquires information and position information of all adjacent nodes of the u node to obtain a self adjacent node set of the u node>
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node calculates a self neighbor node set by using the method (1)Minimum transmitting power P required by any mth node and nth node for data transmission m,n ：
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; d, d m,n Is the distance between the mth node and the nth node;
step 3.2, judging whether the mth node and the nth node have a connection relationship, if P m,n Maximum transmit power P less than the u-th node max The connection relation between the mth node and the nth node is shown; otherwise, the connection relation between the mth node and the nth node is not existed;
step 3.3, the u-th node obtains a local generation topology S through the local two-hop topology of all the adjacent nodes of the u-th node u ；
Step 4, generating topology S according to the local area u Setting a transmitting node and a receiving node;
step 5, the transmitting node transmits any information data to the receiving node at the time t through the RF transceiver at the transmitting power P;
step 6, the RF transceiver of the receiving node receives the information data at the time t sent by the transmitting node, and detects the RSSI of the receiving node at the time t t And a noise floor value N of the environment in which the receiving node is located t ；
Step 7, obtaining a wireless communication reliability evaluation index SNR of the receiving node at the time t according to the step (2) t ：
SNR t ＝RSSI t -N t (2)
Step 8, the transmitting node uses a Kalman filter to evaluate the received reliability index SNR t Filtering to obtain optimal control quantity P of the network;
step 9, assigning P to the transmit power P of the RF transceiver of the transmitting node, assigning t+1 to t, and returning to step 5 until SNR t Not less than delta, thereby obtaining the reliability of data transmission and robustness of network topologyA heterogeneous network with synergistic optimization of the rod properties, wherein Δ represents the set reliability evaluation index threshold.
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