CN115134768A - Wireless communication optimization method and system based on application layer signaling - Google Patents
Wireless communication optimization method and system based on application layer signaling Download PDFInfo
- Publication number
- CN115134768A CN115134768A CN202210646386.8A CN202210646386A CN115134768A CN 115134768 A CN115134768 A CN 115134768A CN 202210646386 A CN202210646386 A CN 202210646386A CN 115134768 A CN115134768 A CN 115134768A
- Authority
- CN
- China
- Prior art keywords
- distribution network
- packet
- network terminal
- heartbeat
- wireless communication
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/20—Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/22—Parsing or analysis of headers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
Abstract
The invention provides a wireless communication optimization method and a wireless communication optimization system based on application layer signaling, which relate to the technical field of power wireless communication and are used for collecting IP data packets between a distribution network master station and a distribution network terminal; identifying the distribution network terminal according to the IP address of the IP data packet; extracting heartbeat packets and response packets communicated between a distribution network main station and a distribution network terminal; analyzing the heartbeat packet data, confirming the response relation of the heartbeat packet, and pairing; calculating the packet loss rate of the distribution network terminal; calculating the transmission time delay between the distribution network main station and the distribution network terminal; carrying out normalization processing on the packet loss rates and the transmission time delays of all the distribution network terminals in the system, and sequencing after processing; scoring all distribution network terminals; and ranking the scores, selecting 10% of the scores ranked in the front for optimization, and realizing optimization of a wireless communication channel by utilizing 5G communication. And the communication performance of the distribution network terminal is optimized through data analysis, so that the efficiency of network optimization is greatly improved.
Description
Technical Field
The invention relates to the technical field of power wireless communication, in particular to a wireless communication optimization method and system based on application layer signaling.
Background
Along with the construction of a novel power system, the access quantity of facilities such as distributed power supplies, energy storage and the like is greatly increased. The fluctuation of new energy provides higher requirements for the number and accuracy of control nodes such as distribution network lines, distribution transformers, switching stations, ring main units and switches, and the number of the three-remote control service access is greatly increased.
For a terminal communication access network with multiple points and wide range, the optical fiber access cost is high, the construction period is long, and the safety of a 4G public network mode has hidden troubles. Compared with 4G, the 5G greatly improves the safety, and the 5G has open capability of providing power to the outside, so that the 5G network can bear the power grid service more safely and efficiently. However, the traditional 5G optimization of transmission reliability and time delay is only performed on an air interface, and network optimization based on power service quality cannot be realized. That is, the optimization of the wireless communication system cannot be realized for the indexes of the transmission delay, the packet loss rate and the like of the distribution automation control signaling, and the normal communication of the distribution automation control signaling is influenced.
Disclosure of Invention
The invention provides a wireless communication optimization method based on application layer signaling, which realizes the optimization of a wireless communication system by using indexes such as transmission delay, packet loss rate and the like of distribution automation control signaling and intuitively improves the quality of service.
The wireless communication optimization method based on the application layer signaling comprises the following steps:
s101, collecting IP data packets between a distribution network master station and a distribution network terminal, and storing the IP data packets;
s102, identifying the distribution network terminal according to the IP address of the IP data packet, and extracting all the IP data packets of the distribution network terminal;
s103, extracting heartbeat packets and response packets communicated between the distribution network main station and the distribution network terminal, and storing the heartbeat packets and the response packets;
s104, analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing;
s105, calculating the packet loss rate of the distribution network terminal;
s106, calculating transmission time delay between the distribution network main station and the distribution network terminal;
s107, performing normalization processing on the packet loss rates and the transmission delays of all the distribution network terminals in the system, and sequencing after the normalization processing;
s108, scoring is carried out on all distribution network terminals;
s109, ranking the scores, and selecting 10% of the scores ranked in the front for optimization.
It should be further noted that step three further includes: analyzing an IP data packet of the distribution network terminal, analyzing application layer protocol data, and searching a heartbeat signaling request packet through a characteristic number string;
searching a heartbeat signaling and a response packet through the characteristic character string;
and extracting the heartbeat packet and the response packet and storing the heartbeat packet and the response packet.
It should be further noted that step five further includes:
the distribution network master station sends heartbeat request packets to the distribution network terminals, and the quantity of the heartbeat request packets is N 1 The number of the request packets without the response packets is M 1 And then the first terminal packet loss rate R 1 =M 1 /N 1 And so on to analogize packet loss rate R of ith distribution network terminal i =M i /N i 。
It should be further noted that, the calculation method of the transmission delay in the step six is as follows: setting the sending time of a first heartbeat packet of a first distribution network terminal as
Tt 1,1 The first response packet of the first distribution network terminal is Rt 1,1 Then, the transmission delay of the distribution network terminal is:
τ 1 =Rt 1,1 -Tt 1,1 ;
the transmission delay of the heartbeat packet is tau 1,k =Rt 1,k -Tt 1,k ;
The average transmission delay of the distribution network terminal is as follows:
the average transmission delay of the ith distribution network terminal is as follows:
it should be further noted that step seven further includes:
normalization processing is carried out on the packet loss rate and the transmission delay of all distribution network terminals in the system, and the packet loss rate R is processed * i And transmission delay tau * i Sorting is carried out;
it should be further noted that step eight further includes:
scoring all distribution network terminals in the system, wherein the distribution network terminal is set to be: l is i =ατ * i +βR * i
Alpha and beta are evaluation weights.
It should be further noted that the distribution network terminal is connected in series at the communication inlet of the distribution network master station or connected in a bypass mirror image manner.
The invention also provides a wireless communication optimization system based on application layer signaling, which comprises: the system comprises a plurality of distribution network terminals, a distribution network master station, a 5G base station and a wireless communication optimization client;
the distribution network terminals are respectively in communication connection with the distribution network main station through the 5G base station;
each distribution network terminal and each distribution network master station are provided with a wireless communication optimization client;
the wireless communication optimization client is used for collecting IP data packets between the distribution network master station and the distribution network terminal and storing the IP data packets;
identifying the distribution network terminal according to the IP address of the IP data packet, and extracting all IP data packets of the distribution network terminal; extracting heartbeat packets and response packets communicated between the distribution network master station and the distribution network terminals, and storing the heartbeat packets and the response packets;
analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing;
calculating the packet loss rate of the distribution network terminal and the transmission time delay between the distribution network master station and the distribution network terminal;
normalization processing is carried out on the packet loss rates and the transmission time delays of all the distribution network terminals in the system, and sequencing is carried out after processing; grading all the distribution network terminals after sorting; and ranking the scores, and selecting 10% of the scores ranked in the front for optimization.
Further, mirroring is carried out on communication data between the distribution network master station and the 5G base station, and the communication data are accessed to the wireless communication optimization client;
the method comprises the steps of collecting communication data between a 5G base station and a distribution network main station within a preset time length, analyzing an IP address of the communication data to obtain an IP address of a distribution network terminal receiving the communication data, and using the IP address as a distribution network terminal index.
It should be further noted that the wireless communication optimization client is further configured to determine whether heartbeat packets and response packets communicated between the distribution network master station and the distribution network terminal are matched, whether each heartbeat packet has a corresponding response packet, if a heartbeat packet does not have a response, record that packet loss is one time, and divide the total packet loss number by the total heartbeat packet sending number to obtain the packet loss rate of the distribution network terminal.
According to the technical scheme, the invention has the following advantages:
the invention provides a wireless communication optimization system and a wireless communication optimization method based on application layer signaling, which are used for ranking scores and selecting 10% of the scores ranked in the front for optimization. Therefore, the distribution network terminal which scores 10% before is optimized through the operator capacity open platform, the highest-order modulation mode is reduced, the code rate is reduced, the lowest guaranteed rate is improved, and the scheduling priority is improved.
And after the first 10% with the highest score is selected, the invention dispatches the work order, checks the installation position and the antenna deployment of the 10% distribution network terminal, and timely adjusts the distribution network terminal if the distribution network terminal has a problem. If the antenna is not installed, the parameters of the distribution network terminal are adjusted through the operator capability open platform, the guarantee rate of the distribution network terminal is improved, the modulation coding mode is reduced, and the priority is reduced. When the distribution network terminals are optimized, the transmission time delay and the packet loss rate of heartbeat packets of all distribution network terminals in the whole network are recorded and averaged, and after optimization for a period of time, the communication performance data of the whole network are compared, so that the optimization effect is embodied.
The wireless communication optimization method based on the application layer signaling provided by the invention starts from an application layer power distribution system protocol, determines the distribution network terminal with poor communication quality by analyzing the packet loss rate and the time delay of the periodic heartbeat packet communication, and realizes the optimization of a wireless communication channel by utilizing the 5G capability open function for the distribution network terminal with poor transmission performance. According to the method, communication performance optimization is carried out on the distribution network terminal through data analysis from the application layer using effect, and the efficiency of network optimization is greatly improved.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the description will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a system for optimizing wireless communication based on application layer signaling;
fig. 2 is a flowchart of a method for optimizing wireless communication based on application layer signaling.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention provides a wireless communication optimization system based on application layer signaling, as shown in fig. 1, the system comprises: the system comprises a plurality of distribution network terminals 3, distribution network master stations 1, 5G base stations 2 and wireless communication optimization clients;
the system architecture may include a plurality of distribution network terminals 3, 5G base stations 2 and a distribution network master station 1. The 5G base station 2 is configured with a 5G communication network, which is a medium to provide a communication link between the distribution network terminal 3 and the distribution network master station 1. There are 5G communication networks that may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
It should be understood that the number of distribution network terminals 3 as in fig. 1 is merely illustrative, and there may be any number of distribution network terminals 3 according to implementation needs. The distribution network main station 1 may be a server cluster composed of a plurality of servers, and the like.
The user can use the distribution network terminal 3 to communicate with the distribution network main station 1 through the 5G base station 2, and data transmission is carried out, so as to receive or send messages and the like. The distribution network terminal 3 may be various electronic devices with a display screen, or may be an electrical device in a distribution network, or a power supply device, or a power generation device, etc.
It should be noted that the distribution network terminal 3 includes a central processing unit, and can execute various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) or a program loaded from a storage section into a Random Access Memory (RAM). In the RAM, various programs and data necessary for system operation are also stored. The CPU, ROM, and RAM are connected to each other via a bus. An input/output (I/O) interface is also connected to the bus. An input portion that may also include a keyboard, mouse, etc.; an output section such as a liquid crystal display or the like and a speaker; a storage section including a hard disk and the like; and include, for example, LAN (Local Area Network) cards, modems, and the like.
Each distribution network terminal 3 and each distribution network main station 1 are provided with a wireless communication optimization client.
The wireless communication optimization client is used for collecting IP data packets between the distribution network main station 1 and the distribution network terminal 3 and storing the IP data packets;
here, the communication data between the distribution network main station 1 and the 5G base station 2 are mirrored, and the communication data are accessed to the wireless communication optimization client; the method comprises the steps of collecting communication data between a 5G base station 2 and a distribution network main station 1 within a preset time length, analyzing an IP address of the communication data to obtain an IP address of a distribution network terminal 3 for receiving the communication data, and using the IP address as an index of the distribution network terminal 3. The preset time period may be 24 hours, or may be measured in days, hours, etc.
Identifying the distribution network terminal 3 according to the IP address of the IP data packet, and extracting all the IP data packets of the distribution network terminal 3; extracting heartbeat packets and response packets communicated between the distribution network master station 1 and the distribution network terminals 3, and storing the heartbeat packets and the response packets;
analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing;
for the system provided by the invention, the resolution of the TCP packet corresponding to the IP address is screened out, and the corresponding protocol message is screened out; selecting a message for heartbeat detection, wherein a main mark is a U frame signal for testing, and performing key analysis on a bidirectional data packet for initiating and responding the message;
judging whether heartbeat packets and response packets communicated between the distribution network master station 1 and the distribution network terminal 3 are matched or not, judging whether each heartbeat packet has a corresponding response packet or not, if the heartbeat packet does not have a response, recording packet loss once, and dividing the total packet loss number by the total heartbeat packet sending number to obtain the packet loss rate of the distribution network terminal 3.
Calculating the transmission time delay between the distribution network main station 1 and the distribution network terminal 3 of the packet loss rate of the distribution network terminal 3;
illustratively, a message which successfully receives a heartbeat response is analyzed, the sending and response time of a heartbeat packet is analyzed, the bidirectional time delay of a communication channel is obtained, and all time delays of 24 hours a day are averaged to obtain the average time delay of the terminal;
normalization processing is carried out on the packet loss rates and the transmission time delays of all the distribution network terminals 3 in the system, and sequencing is carried out after the normalization processing; after sorting, scoring all the distribution network terminals 3; and ranking the scores, and selecting 10% of the scores ranked in the front for optimization.
For the system provided by the invention, the packet loss rate and the average time delay of the distribution network terminal 3 are normalized, and the normalized data are weighted and averaged (the weighted value is configurable) to be used as the communication performance score of the distribution network terminal 3, so that the communication performance with low score is better.
And sequencing all the communication performance scores of the distribution network terminals 3 under the distribution network master station 1 within 24 hours, and selecting the top 10% with the highest score as the distribution network terminal 3 to be optimized.
And after the first 10% with the highest score is selected, dispatching a work order, checking the installation positions and the antenna deployment of the 10% distribution network terminals 3, and adjusting in time if a problem exists. If the antenna is not installed, the parameters of the distribution network terminal 3 are adjusted through the operator capability open platform, the guarantee rate of the distribution network terminal 3 is improved, the modulation coding mode is reduced, and the priority is reduced. When the distribution network terminal 3 is optimized, the transmission delay and the packet loss rate of heartbeat packets of all the distribution network terminals 3 in the whole network are recorded and averaged, and after optimization for a period of time, the communication performance data of the whole network are compared, so that the optimization effect is embodied.
Based on the above wireless communication optimization system based on application layer signaling, as shown in fig. 2, the present invention further provides a wireless communication optimization method based on application layer signaling.
The wireless communication optimization method based on the application layer signaling can be executed by a plurality of distribution network terminals, distribution network main stations, 5G base stations and wireless communication optimization clients in the system.
Further, as a refinement and an extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process in this embodiment, the method includes:
and connecting the communication inlet of the distribution network main station in series or connecting the communication inlet of the distribution network main station to a distribution network terminal in a bypass mirror image mode.
All communication data between the distribution network master station and the distribution network terminals are collected, and 24-hour data are stored;
identifying the distribution network terminal according to the IP address of the IP data packet, and extracting all IP data packets of the distribution network terminal;
and analyzing the IP data packet, and analyzing the distribution network terminal IP data packet of a certain IP address. Analyzing the data stipulated by the application layer 104, and performing data analysis through a characteristic number string: 680443000000 finding heartbeat signaling request packet; by means of the characteristic string: 680483000000 find heartbeat signaling reply packets. And extracting the heartbeat packet and the response packet and storing the heartbeat packet and the response packet separately.
Analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing; data that did not complete pairing is also recorded and the loss of heartbeat response packets is noted. Finishing the preliminary processing of the signaling data of the IP address terminal after finishing the processing;
according to the method, data processing of all distribution network terminals under the distribution network master station is completed.
Calculating the packet loss rate of the distribution network terminal, and sending heartbeat request packets to the distribution network terminal by the distribution network master station, wherein the sending number is N 1 The number of the request packets without the response packets is M 1 And then the first terminal packet loss rate R 1 =M 1 /N 1 And so on to analogize packet loss rate R of ith distribution network terminal i =M i /N i 。
The calculation mode of the transmission delay is as follows: analyzing the paired heartbeat packets, and setting the sending time of the first heartbeat packet of the first distribution network terminal as Tt 1,1 The first response packet of the first distribution network terminal is Rt 1,1 Then, the transmission delay of the distribution network terminal is:
τ 1 =Rt 1,1 -Tt 1,1 . The transmission delay of the heartbeat packet is tau 1,k =Rt 1,k -Tt 1,k ;
The average transmission delay of the distribution network terminal is as follows:
the average transmission delay of the ith distribution network terminal is as follows:
wherein Rt 1,1 ,Tt 1,1 ,τ 1,1 The first response packet of the first distribution network terminal corresponding to the first time point, the sending time of the first heartbeat packet and the transmission delay of the heartbeat packet can be understood.
Rt 1,2 ,Tt 1,2 ,τ 1,2 The first response packet of the first distribution network terminal corresponding to the first time point, the transmission time of the first heartbeat packet and the transmission delay of the heartbeat packet can be understood as the first response packet of the first distribution network terminal corresponding to the first time point.
By analogy, Rt 1,k ,Tt 1,k ,τ 1,k The distribution network terminal can be understood as a kth response packet of a first distribution network terminal corresponding to the kth time point, the sending time of a kth heartbeat packet and the transmission delay of the heartbeat packet.
Normalization processing is carried out on the packet loss rate and the transmission delay of all distribution network terminals in the system, and the packet loss rate R is processed * i And a transmission delay tau * i Sorting is carried out;
scoring all distribution network terminals, and setting the terminal score as
L i =ατ * i +βR * i
Alpha and beta are evaluation weights, and the evaluation weights can be configured by the system. The influence of time delay and packet loss rate on the terminal score can be conveniently modulated according to service requirements.
To L i And sorting, and selecting 10% of data in front of the sorting for optimization. By means of the operator capacity open platform, the distribution network terminals which score 10% are optimized, the highest-order modulation mode is reduced, the code rate is reduced, the lowest guaranteed rate is improved, and the scheduling priority is improved.
And after the first 10% with the highest score is selected, dispatching a work order, checking the installation positions and the antenna deployment of the 10% distribution network terminals, and adjusting in time if a problem exists. If the antenna is not installed, the parameters of the distribution network terminal are adjusted through the operator capability open platform, the guarantee rate of the distribution network terminal is improved, the modulation coding mode is reduced, and the priority is reduced. When the distribution network terminals are optimized, the transmission time delay and the packet loss rate of heartbeat packets of all distribution network terminals in the whole network are recorded and averaged, and after optimization for a period of time, the communication performance data of the whole network are compared, so that the optimization effect is embodied.
The wireless communication optimization method based on the application layer signaling provided by the invention starts from an application layer power distribution system protocol, determines the distribution network terminal with poor communication quality by analyzing the packet loss rate and the time delay of the periodic heartbeat packet communication, and realizes the optimization of a wireless communication channel by utilizing the 5G capability open function aiming at the distribution network terminal with poor transmission performance. According to the method, communication performance optimization is carried out on the distribution network terminal through data analysis from the application layer using effect, and the efficiency of network optimization is greatly improved.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for optimizing wireless communication based on application layer signaling, the method comprising:
s101, collecting IP data packets between a distribution network master station and a distribution network terminal, and storing the IP data packets;
s102, identifying the distribution network terminal according to the IP address of the IP data packet, and extracting all the IP data packets of the distribution network terminal;
s103, extracting heartbeat packets and response packets communicated between the distribution network main station and the distribution network terminals, and storing the heartbeat packets and the response packets;
s104, analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing;
s105, calculating the packet loss rate of the distribution network terminal;
s106, calculating transmission time delay between the distribution network main station and the distribution network terminal;
s107, carrying out normalization processing on the packet loss rates and the transmission time delays of all the distribution network terminals in the system, and sequencing after processing;
s108, scoring is carried out on all distribution network terminals;
s109, ranking the scores, and selecting 10% of the scores ranked in the front for optimization.
2. The method of claim 1, wherein the step of optimizing the wireless communication based on the application layer signaling comprises,
the third step also comprises: analyzing an IP data packet of the distribution network terminal, analyzing application layer protocol data, and searching a heartbeat signaling request packet through a characteristic number string;
searching a heartbeat signaling and a response packet through the characteristic character string;
and extracting the heartbeat packet and the response packet and storing the heartbeat packet and the response packet.
3. The method of claim 1, wherein the step of optimizing the wireless communication based on the application layer signaling comprises,
the fifth step also comprises:
the distribution network master station sends heartbeat request packets to the distribution network terminals, and the quantity of the heartbeat request packets is N 1 The number of the request packets only and the non-received response packets is M 1 And then the first terminal packet loss rate R 1 =M 1 /N 1 And so on to analogize packet loss rate R of ith distribution network terminal i =M i /N i 。
4. The method of claim 1, wherein the step of optimizing the wireless communication based on the application layer signaling comprises,
the calculation mode of the transmission time delay in the sixth step is as follows: setting the sending time of the first heartbeat packet of the first distribution network terminal as Tt 1,1 The first response packet of the first distribution network terminal is Rt 1,1 Then, the transmission delay of the distribution network terminal is:
τ 1 =Rt 1,1 -Tt 1,1 ;
the transmission delay of the heartbeat packet is tau 1,k =Rt 1,k -Tt 1,k ;
The average transmission delay of the distribution network terminal is as follows:
the average transmission delay of the ith distribution network terminal is as follows:
5. the method of claim 1, wherein the method comprises, in response to the received data, optimizing the wireless communication based on the application layer signaling,
the seventh step also comprises:
normalization processing is carried out on the packet loss rate and the transmission delay of all distribution network terminals in the system, and the packet loss rate R is processed * i And transmission delay tau * i Sorting is carried out;
6. the method for optimizing wireless communication based on application layer signaling according to claim 1, wherein step eight further comprises:
scoring all distribution network terminals in the system, wherein the distribution network terminal is set to be:
L i =ατ * i +βR * i
alpha and beta are evaluation weights.
7. The method of claim 1, wherein the step of optimizing the wireless communication based on the application layer signaling comprises,
and connecting the communication inlet of the distribution network main station in series or connecting the communication inlet of the distribution network main station to a distribution network terminal in a bypass mirror image mode.
8. A wireless communication optimization system based on application layer signaling, characterized in that the system adopts the wireless communication optimization method based on application layer signaling as claimed in any one of claims 1 to 7;
the system comprises: the system comprises a plurality of distribution network terminals, a distribution network master station, a 5G base station and a wireless communication optimization client;
the distribution network terminals are respectively in communication connection with the distribution network main station through the 5G base station;
each distribution network terminal and each distribution network master station are provided with a wireless communication optimization client;
the wireless communication optimization client is used for collecting IP data packets between the distribution network master station and the distribution network terminal and storing the IP data packets;
identifying the distribution network terminal according to the IP address of the IP data packet, and extracting all IP data packets of the distribution network terminal; extracting heartbeat packets and response packets communicated between a distribution network main station and a distribution network terminal, and storing the heartbeat packets and the response packets;
analyzing heartbeat packet data, sequencing according to the source address and the destination address of the IP data packet and the time relation of data packet sending, confirming the response relation of the heartbeat packet, and pairing;
calculating the packet loss rate of the distribution network terminal and the transmission time delay between the distribution network master station and the distribution network terminal;
normalization processing is carried out on the packet loss rates and the transmission time delays of all the distribution network terminals in the system, and sequencing is carried out after processing; grading all the distribution network terminals after sorting; and ranking the scores, and selecting 10% of the scores ranked in the front for optimization.
9. The application layer signaling based wireless communication optimization system of claim 8,
mirroring communication data between the distribution network master station and the 5G base station, and accessing the communication data to the wireless communication optimization client;
the method comprises the steps of collecting communication data between a 5G base station and a distribution network master station within a preset time length, analyzing an IP address of the communication data to obtain an IP address of a distribution network terminal receiving the communication data, and using the IP address as a distribution network terminal index.
10. The system for optimizing wireless communication based on application layer signaling as claimed in claim 8,
the wireless communication optimization client is further used for judging whether heartbeat packets and response packets communicated between the distribution network main station and the distribution network terminal are matched or not, whether each heartbeat packet has a corresponding response packet or not is judged, if the heartbeat packets are not responded, packet loss is recorded once, and the total packet loss number is divided by the total heartbeat packet sending number to obtain the packet loss rate of the distribution network terminal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210646386.8A CN115134768A (en) | 2022-06-09 | 2022-06-09 | Wireless communication optimization method and system based on application layer signaling |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210646386.8A CN115134768A (en) | 2022-06-09 | 2022-06-09 | Wireless communication optimization method and system based on application layer signaling |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115134768A true CN115134768A (en) | 2022-09-30 |
Family
ID=83378175
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210646386.8A Pending CN115134768A (en) | 2022-06-09 | 2022-06-09 | Wireless communication optimization method and system based on application layer signaling |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115134768A (en) |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102098135A (en) * | 2011-03-04 | 2011-06-15 | 北京邮电大学 | System and method for traffic flow distribution under heterogeneous network fusion |
US20130124911A1 (en) * | 2011-11-15 | 2013-05-16 | International Business Machines Corporation | Communication system with diagnostic capabilities |
EP2736195A2 (en) * | 2012-11-26 | 2014-05-28 | Sercomm Corporation | Network quality monitoring system and method with zero traffic consumption |
CN107911259A (en) * | 2017-10-20 | 2018-04-13 | 广东电网有限责任公司清远供电局 | A kind of distribution power automation terminal communications status diagnostic method |
WO2018094654A1 (en) * | 2016-11-24 | 2018-05-31 | 深圳前海达闼云端智能科技有限公司 | Vpn transmission tunnel scheduling method and device, and vpn client-end server |
CN108924005A (en) * | 2018-06-29 | 2018-11-30 | 优刻得科技股份有限公司 | Network detecting method, network detection device, medium and equipment |
CN109785606A (en) * | 2019-02-02 | 2019-05-21 | 中能瑞通(北京)科技有限公司 | A kind of power information acquisition system acquisition quality analysis method and device |
US20200107253A1 (en) * | 2018-09-27 | 2020-04-02 | T-Mobile Usa, Inc. | User Plane System Selection Based on Latency |
CN111149340A (en) * | 2017-09-28 | 2020-05-12 | 高通股份有限公司 | User Equipment (UE) assisted local caching |
CN113285851A (en) * | 2021-04-23 | 2021-08-20 | 国网上海能源互联网研究院有限公司 | Method and system suitable for testing network connection performance of power distribution safety equipment |
CN114158102A (en) * | 2021-10-25 | 2022-03-08 | 国网天津市电力公司电力科学研究院 | Feeder automation real-time control oriented wireless heterogeneous communication network switching method |
-
2022
- 2022-06-09 CN CN202210646386.8A patent/CN115134768A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102098135A (en) * | 2011-03-04 | 2011-06-15 | 北京邮电大学 | System and method for traffic flow distribution under heterogeneous network fusion |
US20130124911A1 (en) * | 2011-11-15 | 2013-05-16 | International Business Machines Corporation | Communication system with diagnostic capabilities |
EP2736195A2 (en) * | 2012-11-26 | 2014-05-28 | Sercomm Corporation | Network quality monitoring system and method with zero traffic consumption |
WO2018094654A1 (en) * | 2016-11-24 | 2018-05-31 | 深圳前海达闼云端智能科技有限公司 | Vpn transmission tunnel scheduling method and device, and vpn client-end server |
CN111149340A (en) * | 2017-09-28 | 2020-05-12 | 高通股份有限公司 | User Equipment (UE) assisted local caching |
CN107911259A (en) * | 2017-10-20 | 2018-04-13 | 广东电网有限责任公司清远供电局 | A kind of distribution power automation terminal communications status diagnostic method |
CN108924005A (en) * | 2018-06-29 | 2018-11-30 | 优刻得科技股份有限公司 | Network detecting method, network detection device, medium and equipment |
US20200107253A1 (en) * | 2018-09-27 | 2020-04-02 | T-Mobile Usa, Inc. | User Plane System Selection Based on Latency |
CN109785606A (en) * | 2019-02-02 | 2019-05-21 | 中能瑞通(北京)科技有限公司 | A kind of power information acquisition system acquisition quality analysis method and device |
CN113285851A (en) * | 2021-04-23 | 2021-08-20 | 国网上海能源互联网研究院有限公司 | Method and system suitable for testing network connection performance of power distribution safety equipment |
CN114158102A (en) * | 2021-10-25 | 2022-03-08 | 国网天津市电力公司电力科学研究院 | Feeder automation real-time control oriented wireless heterogeneous communication network switching method |
Non-Patent Citations (2)
Title |
---|
卢兵;刘军雨;于卓智;: "LTE230系统在配用电信息采集系统中的应用", 农村电气化, no. 03 * |
贺军;: "改进遗传算法的电力通信网络路由优化研究", 单片机与嵌入式系统应用, no. 01 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN1099793C (en) | Out-of-band control for preforming loopback lest for asynchronous transfer mode (ATM) networks | |
RU2010116210A (en) | SYSTEMS AND METHODS FOR ENSURING WIRELESS DEVICES ON THE BASIS OF MANY PROFILE PROFILES OF NETWORK SERVICES SERVICES AND RESOLUTION OF CONFLICTS OF DATA SESSION | |
CN104601370A (en) | Information processing method and cloud server | |
CN106454947A (en) | AP access load balancing method | |
CN109039699B (en) | QoS-constrained service fault recovery method for power OTN communication network | |
CN112149967A (en) | Power communication network vulnerability assessment method and system based on complex system theory | |
CN114567681A (en) | High-efficiency data transmission method for block chain network | |
CN101199162B (en) | Method, system and device for controlling communication network | |
CN113691406B (en) | Network quality optimization method and device, storage medium and electronic equipment | |
CN114091610A (en) | Intelligent decision method and device | |
CN115134768A (en) | Wireless communication optimization method and system based on application layer signaling | |
CN112398701A (en) | Intelligent voice recognition system based on internet application | |
CN105376155B (en) | A kind of Intelligent routing system and method based on distributed type assemblies framework | |
CN115981192A (en) | Industrial network based cooperative control and prejudgment method | |
CN115277504A (en) | Network traffic monitoring method, device and system | |
CN113891336A (en) | Communication network frequency-reducing network-quitting method and device, computer equipment and storage medium | |
CN113132378A (en) | Block chain link point equipment and block chain network system | |
WO2020257984A1 (en) | Link establishment method for short-wave communication, communication system, and storage medium | |
CN116233032B (en) | Broadband narrowband fusion networking system and method | |
CN114205213A (en) | Fault pushing method and device, storage medium and electronic equipment | |
CN113159993B (en) | Knowledge base construction method and system based on power system | |
CN112907232B (en) | Method, device, equipment and storage medium for guaranteeing end-to-end transmission reliability of power grid service | |
CN116192755B (en) | Congestion processing method and system based on virtual switch establishment | |
CN116846698A (en) | Data sharing method and system based on multicast communication form | |
CN107592224B (en) | Low-voltage power line carrier communication reliable networking method considering device communication performance |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |