CN114531701A - Collaborative optimization method for data transmission reliability and topological robustness of heterogeneous network in extra-high voltage direct current control protection system - Google Patents

Collaborative optimization method for data transmission reliability and topological robustness of heterogeneous network in extra-high voltage direct current control protection system Download PDF

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CN114531701A
CN114531701A CN202210178761.0A CN202210178761A CN114531701A CN 114531701 A CN114531701 A CN 114531701A CN 202210178761 A CN202210178761 A CN 202210178761A CN 114531701 A CN114531701 A CN 114531701A
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topology
receiving
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李帷韬
李俊辰
童倩倩
李奇越
孙伟
谢民
邵庆祝
俞斌
刘鑫
顾嘉钦
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Hefei University of Technology
State Grid Anhui Electric Power Co Ltd
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State Grid Anhui Electric Power Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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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 protection system, which comprises the following steps: 1, initializing a network structure; 2, based on two times of information interaction, obtaining local two-hop topology of the node u and a self adjacent node set
Figure DDA0003521442060000011
3, constructing a topology based on a local two-hop topology; 4, the transmitting node sends information data to the receiving node at the time t; 5 detecting SNR value and N of receiving node at t momenttA value; 6, calculating a reliability evaluation index of the receiving node at the time t; 7, carrying out optimization solution on the network control quantity to obtain the optimal control quantity P of the network; and 8, assigning P to P, 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 transmission of network dataThe transmission reliability and the network topology robustness are cooperatively optimized, so that the safety and the stability of the network can be improved, and the robustness and the reliability are better.

Description

Collaborative optimization method for data transmission reliability and topological robustness of heterogeneous network in extra-high voltage direct current control protection system
Technical Field
The invention relates to the field of distributed transmission control of a communication network, 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 independent technology, requires the development of relevant research by combining the basic principle of 'environment-friendly', combines the past data for independent research, and ensures that the technology can realize comprehensive innovation with the time connection. Since mature experiences cannot be used for reference in autonomous research, certain obstacles are brought to a large number of scientific research topics and design topic research, but the extra-high voltage core technology and key technology are mastered through innovative design, follow-up improvement is based on the principle of 'safe, reliable, economical and reasonable, first international first-class', extra-high voltage construction is continuously promoted, and finally the first extra-high voltage technical system in the world is established and is gradually recognized by various world circles.
With the development of mobile communication technology and the application of third generation all-digital video surveillance system, a variety of wired and wireless network access technologies are perfectly applied to fixed or mobile terminals, and these network types include: ethernet, 3G/4G, CDPD, WIFI, Bluetooth etc. present technique can realize possessing multiple different network access ports on the mobile terminal. At present, the most widely used 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 are congested due to the contention of parallel channels, so that the mobile terminal cannot fully utilize effective network resources and cannot transmit video data efficiently. 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 the video data cannot be continuously transmitted.
At present, heterogeneous network data transmission research is mainly focused on an application layer, a network layer and a transport layer. And the application layer adopts a plurality of TCP protocol paths to transmit data, and each TCP protocol corresponds to one sub-path. The application layer is used for distributing data to different sub paths, and the network layer can use the multi-path transmission function by adding corresponding libraries without modifying the protocol stack of the system. However, the implementation of the multipath transmission function in the transport layer requires increasing the complexity of writing the application program, and developers often need to use a new multipath transmission function based on the original standard function, which undoubtedly increases the difficulty and workload of writing the application program. If multi-path transmission is to be realized on an application layer, both a sending end and a receiving end are required to realize the multi-path transmission function, and the compatibility is low. In order to realize multi-path transmission, the best solution is to perform processing 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 and network topology robustness of a heterogeneous network in an extra-high voltage direct current protection system and the like, and provides a cooperative optimization method of the data transmission reliability and the topology robustness of the heterogeneous network in the extra-high voltage direct current protection system so as to realize the 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 relates to a cooperative optimization method for data transmission reliability and topological robustness 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 adjacent 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 the adjacent nodes thereof carry out information interaction twice respectively to obtain the local two-hop topology of the u-th node
Figure BDA0003521442040000021
Meanwhile, the u-th node acquires the information and the position information of all adjacent nodes thereof to obtain the self adjacent node set of the u-th node
Figure BDA0003521442040000022
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node calculates the self node set by using the formula (1)
Figure BDA0003521442040000023
Minimum transmitting power P required by any m-th node and n-th node for data transmissionm,n
Figure BDA0003521442040000024
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; dm,nIs the distance between the mth node and the nth node;
step 3.2, judging whether the m-th node and the n-th node have a connection relation or not, and if P is the connection relationm,nLess than the maximum transmitting power P of the u-th nodemaxIf so, the m-th node and the n-th node have a connection relation; otherwise, the m-th node and the n-th node do not have a connection relation;
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 nodeu
Step 4, generating topology S according to the localuSetting 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 an RF transceiver by using transmitting power P;
step 6, the RF radio frequency transceiver of the receiving node receives the information data at the time t sent by the transmitting node and detects the Received Signal Strength Indicator (RSSI) of the receiving node at the time ttAnd the noise floor value N of the environment where the receiving node is positionedt
Step 7, obtaining the wireless communication reliability evaluation index SNR of the receiving node at the time t according to the formula (2)t
SNRt=RSSIt-Nt (2)
Step 8, the transmitting node utilizes a Kalman filter to evaluate the received reliability index SNRtFiltering to obtain the optimal control quantity P of the network;
step 9, assigning P to the transmitting power P of the RF transceiver of the transmitting node, assigning t +1 to t, and returning to step 5 until SNRtAnd the data transmission reliability and the network topology robustness are cooperatively optimized, so that the heterogeneous network is obtained, wherein the delta represents the set reliability evaluation index threshold.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention constructs a network topology through two times of information interaction between the u-th node and all adjacent points; compared with the traditional method, the method does not need a central control node, and greatly improves the robustness of the network topology.
2. The invention evaluates the index SNR of the wireless communication reliability of the receiving node at the time ttAnd filtering to filter random noise of the data to obtain the optimal control quantity P of the network, thereby improving the reliability of data transmission of the heterogeneous network.
Drawings
Fig. 1 is a flowchart of cooperative optimization of data transmission reliability and network topology robustness of a heterogeneous network in the ultra-high voltage direct current protection system according to the present invention.
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 to perform information interaction twice between a node in an initial structure of a constructed heterogeneous network and all its neighboring nodes to obtain a locally generated topology, calculate a reliability evaluation index from information received by a receiving node of the locally generated topology, perform filtering processing on the reliability evaluation index to obtain an optimal control quantity P of the network, and thus adjust the transmission power of an RF radio frequency transceiver of a transmitting node to an optimal transmission power, specifically, perform the following steps:
step 1, constructing an initial structure of a heterogeneous network, and defining adjacent 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 the adjacent nodes carry out information interaction twice respectively, and during the first information interaction, the node u randomly selects an idle channel and uses the maximum power PmaxA HELLO-1 packet containing the ID number and location information of the node is broadcast. Each node u obtains its own neighbor node set
Figure BDA0003521442040000031
And the position information of the adjacent node, the neighbor discovery task is completed. During the second information interaction, each node u sends a message containing the acquired neighborsNode information and HELLO-2 packets of the node information and the position information, wherein each node u obtains local two-hop topology of the u-th node according to the HELLO-2 packets sent by the adjacent nodes
Figure BDA0003521442040000041
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node calculates the self node set by using the formula (1)
Figure BDA0003521442040000042
Minimum transmitting power P required by any m-th node and n-th node for data transmissionm,n
Figure BDA0003521442040000043
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; dm,nIs the distance between the mth node and the nth node;
step 3.2, judging whether the m-th node and the n-th node have a connection relation or not, and if P is the connection relationm,nLess than the maximum transmitting power P of the u-th nodemaxIf so, the m-th node and the n-th node have a connection relation; otherwise, the m-th node and the n-th node do not have a connection relation;
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 nodeu
Step 4, generating topology S according to localuSetting 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 by the transmitting power P;
step 6, the RF radio frequency transceiver of the receiving node receives the information data at the time t sent by the transmitting node and detects the received signal strength indicator value RSSI of the receiving node at the time ttAnd the noise floor value N of the environment of the receiving nodet
Step 7, obtaining the wireless communication reliability evaluation index SNR of the receiving node at the time t according to the formula (2)t
SNRt=RSSIt-Nt (2)
Step 8, the transmitting node utilizes a Kalman filter to evaluate the received reliability index SNRtFiltering to remove random noise of data and obtain the optimal control quantity P of the network;
step 9, assigning P to the transmitting power P of the RF transceiver of the transmitting node, assigning t +1 to t, and returning to step 5 until SNRtAnd the data transmission reliability and the network topology robustness are cooperatively optimized in the ultra-high voltage direct current protection system, wherein the delta represents the set reliability evaluation index threshold. In the present example, Δ is 100 dm.

Claims (1)

1. A collaborative optimization method for data transmission reliability and topological robustness 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 adjacent 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 the adjacent nodes thereof carry out information interaction twice respectively to obtain the local two-hop topology of the u-th node
Figure FDA0003521442030000011
Meanwhile, the u-th node acquires the information and the position information of all adjacent nodes thereof to obtain the self adjacent node set of the u-th node
Figure FDA0003521442030000012
Step 3, topology construction based on local two-hop topology;
step 3.1, the u-th node utilizationEquation (1) calculates the self node set
Figure FDA0003521442030000013
Minimum transmitting power P required by any m-th node and n-th node for data transmissionm,n
Figure FDA0003521442030000014
In the formula (1), beta is a receiving signal-to-noise ratio threshold value, and alpha is a path loss factor; dm,nIs the distance between the mth node and the nth node;
step 3.2, judging whether the m-th node and the n-th node have a connection relation or not, and if P is the connection relationm,nLess than the maximum transmitting power P of the u-th nodemaxIf so, the m-th node and the n-th node have a connection relation; otherwise, the m-th node and the n-th node do not have a connection relation;
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 nodeu
Step 4, generating topology S according to the localuSetting 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 an RF transceiver by using transmitting power P;
step 6, the RF radio frequency transceiver of the receiving node receives the information data at the time t sent by the transmitting node and detects the Received Signal Strength Indicator (RSSI) of the receiving node at the time ttAnd the noise floor value N of the environment where the receiving node is positionedt
Step 7, obtaining the wireless communication reliability evaluation index SNR of the receiving node at the time t according to the formula (2)t
SNRt=RSSIt-Nt (2)
Step 8, the transmitting node utilizes a Kalman filter to evaluate the received reliabilityStandard SNRtFiltering to obtain the optimal control quantity P of the network;
step 9, assigning P to the transmitting power P of the RF transceiver of the transmitting node, assigning t +1 to t, and returning to step 5 until SNRtAnd the data transmission reliability and the network topology robustness are cooperatively optimized, so that the heterogeneous network is obtained, wherein the delta represents the set reliability evaluation index threshold.
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