CN114513764A - Multi-node data storage and interaction method - Google Patents

Multi-node data storage and interaction method Download PDF

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CN114513764A
CN114513764A CN202210247097.0A CN202210247097A CN114513764A CN 114513764 A CN114513764 A CN 114513764A CN 202210247097 A CN202210247097 A CN 202210247097A CN 114513764 A CN114513764 A CN 114513764A
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王晓曦
李徽
周冀豪
戴如永
付刚
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Chengdu Cscc Electronic Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2365—Ensuring data consistency and integrity
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a multi-node data storage and interaction method, which belongs to the technical field of communication and comprises the following steps: acquiring frequency spectrum data through different nodes, and performing signal-noise separation on the frequency spectrum data to obtain an acquired signal; respectively establishing a set of local signal libraries in different nodes, and classifying the acquired signals; respectively comparing signal libraries of different nodes to obtain data to be transmitted, comparing the redundancies of the different nodes, and transmitting the data to be transmitted from the node with the low redundancy level to the node with the high redundancy level: and after the data transmission is successful, respectively updating the signal libraries of different nodes. According to the invention, collected signals are classified to carry out differential quantity collection, only interested sensitive signals are collected, and multi-hop transmission is carried out between nodes by using a hill climbing search algorithm, so that the problems of insufficient node storage capacity and narrow transmission bandwidth are solved.

Description

Multi-node data storage and interaction method
Technical Field
The invention relates to the technical field of communication, in particular to a multi-node data storage and interaction method.
Background
In an environment with insufficient coverage of mobile communication signals in a remote area, a monitoring network composed of fixed nodes and mobile nodes is used, and part of monitoring data or environment acquisition data needs to be transmitted back to a command center, as shown in fig. 1, in the existing method, a satellite internet and a 4G network are used as backups for each other to transmit back data, but radio monitoring data is wide in acquisition frequency band and large in spectrum data amount. The satellite communication bandwidth is insufficient, full-band real-time data transmission cannot be realized, and the storage capacity of the mobile data acquisition node is limited, so that data acquisition and storage become important bottlenecks, and the electromagnetic environment situation perception capability of China in remote areas is severely restricted.
The common method for solving the problems is as follows: 1. the data storage capacity of the acquisition nodes is improved, meanwhile, the processing capacity of the edge nodes is enhanced, and the signal processing result is stored in the monitoring station without storing original data; 2. data compression algorithms are introduced, and monitoring data are compressed by using the data compression algorithms, which are mainly divided into two types, namely lossless compression and lossy compression, wherein the lossless compression algorithm can completely recover data, but the compression ratio is very limited, and the lossy compression can also distort sensitive signals while compressing noise data.
Disclosure of Invention
The invention aims to overcome the problems of data acquisition and storage of signal blind areas in remote areas in the prior art, and provides a multi-node data storage and interaction method.
The purpose of the invention is realized by the following technical scheme:
a data acquisition and transmission method based on multi-hop cooperation is provided, and the method comprises the following steps:
acquiring frequency spectrum data through different nodes, and performing signal-noise separation on the frequency spectrum data to obtain an acquired signal;
respectively establishing a set of local signal libraries in different nodes, and classifying the acquired signals;
respectively comparing the signal libraries of different nodes to obtain data to be transmitted, and comparing the redundancies of different nodes to transmit the data to be transmitted from the node with low redundancy level to the node with high redundancy level;
and after the data transmission is successful, respectively updating the signal libraries of different nodes.
As an option, the different nodes include a monitoring center node, a fixed anchor node, a dedicated mobile node, and a general mobile node.
As an option, the calculation formula of the redundancy rate is as follows:
Fi＝Pis/Pi+Pj，
wherein, PisRepresenting the residual space of node i, PiRepresenting the total memory space, P, of node ijRepresenting the total memory space of node j.
As an option, the classifying the acquired signals includes:
and comparing the collected signals with a local signal library, if the characteristics of the collected signals are not abnormal, classifying the collected signals as white list signals, if the collected signals are illegal sensitive signals, classifying the collected signals as black list signals, and if the collected signals are unknown signals, classifying the collected signals as grey list signals.
As an option, the comparing the signal libraries of different nodes respectively to obtain the data to be transmitted includes:
and for two nodes participating in exchange, integrating white list signals, blacklist signals and gray list signals of the two nodes, and extracting the blacklist signals and the gray list signals needing to be transmitted.
As an option, the respectively updating signal bases of different nodes includes:
and respectively adding the integrated white list signal, black list signal and gray list signal into a signal library of each node.
As an option, the respectively updating the signal libraries of different nodes further includes:
collecting data of the fixed anchor node, the special mobile node and the universal mobile node to a monitoring center node;
if the blacklist signal or the grey list signal is verified or tracked for a long time and is proved to be a legal signal, the blacklist signal or the grey list signal is converted into a white list signal;
if the grey list signal contains signals with the same frequency characteristics in a plurality of nodes, the signals are converted into the black list signal.
The present invention also provides a multi-node data storage and interaction system, the system comprising:
a plurality of nodes;
the acquisition module is used for acquiring frequency spectrum data at different nodes and carrying out signal-noise separation on the frequency spectrum data to obtain an acquired signal;
local signal libraries arranged in different nodes;
the comparison module is used for comparing the signal libraries of different nodes to obtain data to be transmitted and comparing the redundancy rates of the different nodes;
a data transmission module for transmitting data to be transmitted from a node with a low redundancy level to a node with a high redundancy level;
and the data updating module is used for respectively updating the signal libraries of different nodes after the data transmission is successful.
As an option, the data transmission module includes a wireless sensor disposed between nodes.
As an option, the system further comprises a broadcasting module for broadcasting the updated data to the nodes.
It should be further noted that the technical features corresponding to the above options can be combined with each other or replaced to form a new technical solution without conflict.
Compared with the prior art, the invention has the beneficial effects that:
(1) the invention carries out classification identification on the collected signals, reduces the data collection amount compared with signal libraries of different nodes, enables the collected signals to automatically flow to the nodes with large storage space and smaller storage pressure through cooperation among the nodes, solves the problems of insufficient node storage capacity and data transmission blockage of a communication blind area, and collects the monitoring data of important signals to the maximum extent.
(2) For two nodes participating in exchange, white list signals, blacklist signals and gray list signals of the two nodes are integrated, the blacklist signals and the gray list signals needing to be transmitted are extracted, sensitive and critical information can be acquired, accurate acquisition is achieved, and acquisition amount is reduced.
(3) By establishing a local database and updating the database, the original data and the real-time updated data of the signals can be recorded, and the integrity of the data is ensured.
(4) Important signal characteristics are fed back to all nodes in a broadcasting mode, and network congestion cannot be caused due to the fact that the data volume of signal characteristic information is extremely small.
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FIG. 1 is a schematic representation of the prior art of the present invention;
FIG. 2 is a flow chart illustrating a multi-node data storage and interaction method according to the present invention;
FIG. 3 is a schematic diagram of data transmission between nodes according to the present invention;
FIG. 4 is a schematic diagram of an embodiment of the method of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The invention mainly classifies and identifies the acquired signals, reduces the data acquisition amount compared with signal libraries of different nodes, enables the acquired signals to automatically flow to the nodes with large storage space and smaller storage pressure through cooperation among the nodes, solves the problems of insufficient node storage capacity and data transmission blockage of a communication blind area, acquires the monitoring data of important signals to the maximum extent, and achieves the purposes of convenient acquisition and transmission.
Example 1
In an exemplary embodiment, there is provided a multi-node data storage and interaction method, as shown in FIG. 2, comprising:
acquiring frequency spectrum data through different nodes, and performing signal-noise separation on the frequency spectrum data to obtain an acquired signal;
respectively establishing a set of local signal libraries in different nodes, and classifying the acquired signals;
respectively comparing the signal libraries of different nodes to obtain data to be transmitted, and comparing the redundancies of different nodes to transmit the data to be transmitted from the node with low redundancy level to the node with high redundancy level;
and after the data transmission is successful, respectively updating the signal libraries of different nodes.
Further, the different nodes include a monitoring center node, a fixed anchor node, a dedicated mobile node and a general mobile node.
Specifically, the remote area signal blind area monitoring network is composed of four types of nodes: a monitoring center node, a fixed anchor node, a special mobile node and a general mobile node. The four types of nodes have different storage capacities, wherein the data storage capacity and the transmission bandwidth of the monitoring center node are very strong, and the monitoring center node can realize real-time transmission of a large amount of data and is used as a center for data fusion processing and transmission; the fixed anchor node has strong transmission capability and certain data storage capability; the special mobile node has a larger active area and stronger data storage capacity and transmission capacity; the number of general mobile nodes is the largest, but the storage capacity and the transmission capacity are both very limited.
Further, specifically, the fixed nodes and the mobile monitoring nodes start scanning spectrum data, data higher than 3dB of background noise is recorded as collected signals according to background noise data, each node classifies and processes globally sensitive collected signals according to stored signals to realize accurate collection, redundancy of different nodes is compared according to data storage capacity and transmission capacity of different nodes, the nodes with high redundancy are high in storage capacity, sensitive data to be transmitted are transmitted from the nodes with low redundancy level to the nodes with high redundancy level, data flow to the nodes with lower storage pressure is realized, more accurate data collection is realized, the problem of blocking of data transmission is solved, and monitoring data of important signals are collected to the maximum extent.
Example 2
Based on embodiment 1, a specific implementation is given, specifically, as shown in fig. 4, first, data acquisition is performed, a signal library and data classification are constructed, and the classification of the acquired signals includes:
comparing the collected signals with a local signal library, if the characteristics of the collected signals are not abnormal, classifying the collected signals as white list signals, namely legal signals, if the collected signals are illegal sensitive signals, classifying the collected signals as black list signals, and if the collected signals are unknown signals, classifying the collected signals as grey list signals. A set of local signal repositories is then maintained at each node.
Furthermore, the signals acquired and found each time are compared with a local signal library, and if the signals are white list signals, the signals are ignored and are not stored; if the signal is a blacklist signal, recording all original signal data, including frequency spectrum, audio frequency, direction and the like, and adding the original signal data into the blacklist signal of the local signal library; for newly found signals, adding unknown signals which are not in a white list signal and a black list signal, recording the characteristics of the signals if the signals are transient clutter, recording the signals in a database if the signals are broadband radar signals or unknown communication signals, and simultaneously completely recording the original data (frequency spectrum, audio frequency and IQ data) of the signals to ensure the integrity of the characteristics.
Further, judging the redundancy of the nodes, wherein the redundancy calculation formula is as follows:
Fi＝Pis/Pi+Pj，
wherein, PisTo representNode i residual space, PiRepresenting the total memory space, P, of node ijRepresenting the total memory space of node j.
If the distance between the two nodes is within a certain area (about 10Kmm), the wireless sensor can be used for data transmission at the moment, and the buffered data is transmitted to the node with high redundancy rate with low redundancy rate. If the node Fi > Fj indicates that data is transmitted from the node j to the node i, the redundancy of the monitoring center node is the largest, the redundancy of the mobile general node is the smallest, and the general mobile node and the fixed anchor node are compared according to actual conditions.
Comparing signal libraries between nodes, said comparing signal libraries of different nodes separately, to derive data to be transmitted, comprising:
and for two nodes participating in exchange, integrating white list signals, blacklist signals and gray list signals of the two nodes, and extracting the blacklist signals and the gray list signals needing to be transmitted.
Specifically, the signals S in the white list are compared firstw＝Swi∪SwjFor gray list signal S in node i and node jgiCSwj. If the "grey list" of node i is in the white list of node j, the data is deleted. And determining a white list library.
Then comparing the signals in the gray lists of the two nodes according to Sg＝Sgi∪SgjAnd determining a gray list signal library of the two nodes. The amount of original data transfer is determined,
Figure BDA0003545475180000071
finally, the signals in the blacklists of the two nodes are compared, Dtb＝Dbj. Determining a blacklist signal library Sb＝Sbi∪Sbj。
Determining the flow direction of the node according to the determined redundancy function, taking the node j as an example for transmitting data to the node i, and the data is transmitted as DtgAnd Dtb。
Further, the respectively updating the signal libraries of the different nodes includes:
respectively adding the integrated white list signal, black list signal and gray list signal into a signal library of each node, specifically, after the data transmission is successful, according to Sw，Sg，SbAnd respectively updating the white list, the gray list and the black list of the two node signal libraries. By extracting blacklist signals and grey list signals which need to be transmitted, sensitive and critical information can be collected, accurate collection is achieved, and collection amount is reduced.
Further, the updating the signal libraries of different nodes respectively further includes:
as shown in fig. 3, data of the fixed anchor node, the dedicated mobile node, and the universal mobile node are collected to the monitoring center node, data collected by all the nodes are finally collected to the monitoring center node, and the monitoring center node performs unified fusion processing, where the fusion data includes a white list, a black list, and a gray list based on the signal database.
If the blacklist signal or the grey list signal is verified or tracked for a long time and is proved to be a legal signal, the blacklist signal or the grey list signal is converted into a white list signal;
if the grey list signal contains signals with the same frequency characteristics in a plurality of nodes, such as continuous radar signals, communication signals capable of being demodulated and the like, the signals are converted into the black list signal.
And continuously updating the blacklist signal and the white list signal of the monitoring center node according to the node summarized data. And finally broadcasting the updated signal library to all nodes. The white list signal library is updated once per hour, and the black list signal library is updated in real time after being changed, wherein the updating mode adopts monitoring center broadcasting.
The monitoring center node broadcasts the signal characteristics (including frequency, bandwidth, field intensity and modulation mode) to all nodes, and network congestion cannot be caused due to the fact that the data volume of the signal characteristic information is extremely small.
Further, as shown in fig. 4, when the next node transmitted by one node is not the monitoring center node, the database is continuously updated, and data transmission is continued.
Example 3
In an exemplary embodiment, the present invention also provides a multi-node data storage and interaction system, the system comprising:
a plurality of nodes;
the acquisition module is used for acquiring frequency spectrum data at different nodes and carrying out signal-noise separation on the frequency spectrum data to obtain an acquired signal;
local signal libraries arranged in different nodes;
the comparison module is used for comparing the signal libraries of different nodes to obtain data to be transmitted and comparing the redundancy rates of the different nodes;
a data transmission module for transmitting data to be transmitted from a node with a low redundancy level to a node with a high redundancy level;
and the data updating module is used for respectively updating the signal libraries of different nodes after the data transmission is successful.
Further, the data transmission module comprises wireless sensors arranged between the nodes.
Further, the system also comprises a broadcasting module, which is used for broadcasting the updated data to each node.
The above detailed description is for the purpose of describing the invention in detail, and it should not be construed that the detailed description is limited to the description, and it will be apparent to those skilled in the art that various modifications and substitutions can be made without departing from the spirit of the invention.

Claims (3)

1. A multi-node data storage and interaction method, the method comprising:
acquiring frequency spectrum data through different nodes, and performing signal-noise separation on the frequency spectrum data to obtain an acquired signal;
respectively establishing a set of local signal libraries in different nodes, and classifying the acquired signals; the classifying the collected signals comprises:
comparing the collected signals with a local signal library, if the characteristics of the collected signals are not abnormal, classifying the collected signals as white list signals, if the collected signals are white list signals, ignoring the collected signals and not storing the collected signals, if the collected signals are illegal sensitive signals, classifying the collected signals as black list signals, and if the collected signals are unknown signals, classifying the collected signals as grey list signals;
respectively comparing the signal libraries of different nodes to obtain data to be transmitted, and comparing the redundancies of different nodes to transmit the data to be transmitted from the node with low redundancy level to the node with high redundancy level;
the redundancy calculation formula is as follows:
Fi＝Pis/Pi+Pj，
wherein, PisRepresenting the residual space of node i, PiRepresenting the total memory space, P, of node ijRepresents the total storage space of node j;
the comparing the signal libraries of different nodes respectively to obtain the data to be transmitted includes:
integrating white list signals, blacklist signals and grey list signals of the two nodes for the two nodes participating in the exchange, and extracting the blacklist signals and the grey list signals needing to be transmitted; if the gray list signal in the node with low redundancy level is in the white list of the node with high redundancy level, deleting the gray list signal in the node with low redundancy level, and transmitting the residual gray list signal and the residual black list signal in the node with low redundancy level to the node with high redundancy level;
after the data transmission is successful, respectively updating the signal libraries of different nodes; the different nodes comprise a monitoring center node, a fixed anchor node, a special mobile node and a general mobile node, wherein the monitoring center node broadcasts blacklist signal characteristics to all nodes, and the signal characteristics comprise frequency, bandwidth, field intensity and a modulation mode;
the respectively updating the signal libraries of different nodes comprises:
when the next node transmitted by one node is not the monitoring center node, continuously updating the database and continuously transmitting data;
and the monitoring center node performs unified fusion processing on the data acquired by all the nodes to obtain fusion data, wherein the fusion data comprises a white list, a black list and a gray list based on the signal database.
2. The multi-node data storage and interaction method of claim 1, wherein said updating signal libraries of different nodes separately further comprises:
and continuously updating the blacklist signal and the white list signal of the monitoring center node according to the node summarized data, wherein the white list signal library is updated once per hour, and the blacklist signal library is updated in real time after being changed.
3. The multi-node data storage and interaction method of claim 1, wherein said classifying said collected signals further comprises:
if the signal is a blacklist signal, recording all signal original data; if the signal is transient clutter, the signal characteristics are recorded, and if the signal is a broadband radar signal or an unknown communication signal, the signal is recorded in a database, and simultaneously the original data of the signal is completely recorded.
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