CN116634390B - Data transmission management system based on distributed wireless sensor - Google Patents

Data transmission management system based on distributed wireless sensor Download PDF

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CN116634390B
CN116634390B CN202310539342.XA CN202310539342A CN116634390B CN 116634390 B CN116634390 B CN 116634390B CN 202310539342 A CN202310539342 A CN 202310539342A CN 116634390 B CN116634390 B CN 116634390B
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value
information
transmission
memory
related information
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CN116634390A (en
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宋永献
张磊
李豪
樊纪山
王博
孔永�
刘强
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Nanjing Xiaozhuang University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/602Providing cryptographic facilities or services
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/24Traffic characterised by specific attributes, e.g. priority or QoS
    • H04L47/2425Traffic characterised by specific attributes, e.g. priority or QoS for supporting services specification, e.g. SLA
    • H04L47/2433Allocation of priorities to traffic types
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/009Security arrangements; Authentication; Protecting privacy or anonymity specially adapted for networks, e.g. wireless sensor networks, ad-hoc networks, RFID networks or cloud networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/03Protecting confidentiality, e.g. by encryption
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/10Integrity
    • H04W12/106Packet or message integrity
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/60Context-dependent security
    • H04W12/67Risk-dependent, e.g. selecting a security level depending on risk profiles
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
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  • Computer Hardware Design (AREA)
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Abstract

The invention discloses a data transmission management system based on a distributed wireless sensor, which relates to the technical field of data transmission management and is used for solving the problem of low data reading and writing efficiency caused by easy disclosure and improper memory selection during information storage in the information transmission process, and comprises a management platform, an information transmission module and a plurality of memories, wherein the information transmission module is in communication connection with the management platform, and the management platform further comprises an information transfer unit, a memory analysis unit and an information distribution unit; the character information and the image information acquired by the distributed sensor are encrypted and transmitted to the management platform according to the transmission value; the management platform analyzes the related information and the memory to obtain a priority value and a storage value, and the priority value and the storage value are matched from large to small one by one to obtain corresponding related information and store the corresponding related information in the corresponding memory, so that the effects of information encryption, storage efficiency improvement, data access speed and the like in the acquisition and transmission process are realized.

Description

Data transmission management system based on distributed wireless sensor
Technical Field
The invention relates to the technical field of data transmission management, in particular to a data transmission management system based on a distributed wireless sensor.
Background
The distributed sensor is a multi-sensor data processing mode established by taking a distributed computer as a reference, and a large amount of information acquired by the sensors distributed at different positions is transmitted through a network and is uniformly stored.
The prior art has the following disadvantages:
1. because the physical environment of the distributed wireless sensor network is complex, the number of nodes in the network is numerous, the data communication is easy to attack and interfere, and information leakage is easy to cause;
2. because the data acquired in the sensor network has huge scale, the information is directly and uniformly stored in the memory, and the condition that the data reading and writing efficiency is low due to the unsuitable memory is caused, thereby influencing the system performance;
in order to solve the above-mentioned drawbacks, a data transmission management system based on a distributed wireless sensor is now provided.
Disclosure of Invention
The invention aims to solve the problems that secret leakage is easy in the information transmission process, memory selection is improper in the information storage process, and the data reading and writing efficiency is low, and provides a data transmission management system based on a distributed wireless sensor.
The aim of the invention can be achieved by the following technical scheme: a data transmission management system based on a distributed wireless sensor comprises a management platform, an information transmission module and a plurality of distributed wireless sensors, wherein the information transmission module is in communication connection with the management platform;
the management platform is used for decrypting the received related information ciphertext to obtain related information, analyzing the related information and the memory to obtain a priority value and a storage value respectively, and respectively selecting corresponding related information according to a relation of matching the priority value and the storage value from large to small one by one and storing the corresponding related information into the corresponding memory;
the information transmission module is used for encrypting the related information and comprises the following specific steps:
a1: setting that each character has only one corresponding value, matching the characters in the related information with all the set characters to obtain corresponding values, and arranging the values according to the sequence of the characters to obtain a character value sequence; calculating the sum of the difference values and the adjacent sum to obtain the adjacent difference and the adjacent sum, when the adjacent difference is larger than a set threshold value, marking the position between the two values corresponding to the adjacent difference as a filling position, and performing interpolation operation at the filling position to obtain a character encryption ciphertext;
a2: locally amplifying the image until only one color exists in the pixel grid, and identifying the color and the coordinates of the pixel grid; setting only one corresponding value of each color, and matching the color of the pixel grid with the set color to obtain the corresponding value; as shown in fig. 3, four pixel cells are taken as a group, and the pixel cell B separated by one position unit to the left and the pixel cell C, D separated by one position unit downwards by A, B are taken as the base points of the pixel cells where a is located; constructing a rectangle by taking A, B, C as a length, width and height, taking the central position of the top surface of the rectangle as a starting point, taking D as a vertical line, and connecting the vertexes of the vertical line with the four vertexes of the top surface of the rectangle to construct a composite quadrangular pyramid; wherein A, B, C and D refer to the corresponding values of the pixel grid colors;
by setting the formulaObtaining an image conversion value TZ, wherein the image conversion value is a numerical sequence formed by using a sequence of S1, S2, S3 and V in sequence and using a numerical sequence of "/" to be spaced, and arranging the conversion value corresponding to the image information according to the corresponding pixel grid coordinate to obtain a corresponding image numerical sequence;
performing difference calculation on adjacent numerical values in the image numerical value sequence to obtain adjacent differences, marking the middle position of the adjacent numerical values as a filling position when the adjacent differences are larger than a set difference value, and performing interpolation operation on the filling position to obtain an image encryption ciphertext;
a3: substituting the character ciphertext and the image ciphertext into a preset valueBinary one-time equations obtain related information encryption ciphertext y1 and y2, wherein b1, b2, b3 and b4 are respectively preset factors, b1 is not equal to b3, and b2 is not equal to b4; setting each sensor to correspond to a transmission value, acquiring the transmission value of the related information, and transmitting the encrypted ciphertext of the related information acquired by the sensor to the management platform from large to small according to the corresponding transmission value.
As a preferred embodiment of the present invention, the specific steps of the interpolation operation are: counting the number of filling positions and extracting adjacent differences and adjacent sums corresponding to the filling positions; the number of filling positions, the adjacent difference and the adjacent sum are respectively marked as n, i and j, and are substituted into a preset formula (i+j) n-1 And expanding the material to obtain an expanded type:v x1 、v x(k+1) and v xn Respectively, the weight coefficients of the preset expansion items, wherein x=1 or 2 represents the weight coefficient of the character numerical value sequence when the value of x is 1, and represents the weight coefficient of the image conversion value when the value of x is 2; n and k are positive integers; wherein the general formula of any filling position is +.>And rounding the general formulaObtaining a filling number, and arbitrarily selecting the number of 0-9 equal to the filling number to fill the filling position; and filling all filling positions according to the filling number rounded by the corresponding general formula to obtain the encrypted ciphertext.
As a preferred embodiment of the present invention, the management platform further includes an information transfer unit, a storage analysis unit, and an information distribution unit;
the information transfer unit is used for decrypting the related information ciphertext and sending the decrypted related information ciphertext to the storage analysis unit;
the storage analysis unit is used for calling the transmission value of the related information, comparing the transmission value with a set threshold value to obtain a corresponding index formula matched with the transmission value, and substituting the transmission value into the corresponding index formula to obtain a transmission coefficient; simultaneously acquiring data volume, analyzing the data volume and a set threshold value to obtain a data volume coefficient, normalizing the transmission coefficient and the data volume coefficient, taking the numerical value of the transmission coefficient and the data volume coefficient, analyzing the numerical value to obtain a priority value, sequencing related information according to the priority value, and sending the priority value to a storage analysis unit;
the information distribution unit normalizes the access speed, response time and throughput of the memory, takes the numerical value of the memory, and analyzes the numerical value to obtain a state value; dividing the memory into an optimal state memory, a good state memory and a fatigue state memory according to the state values, setting different states of the memory to respectively correspond to one state coefficient, carrying out normalization processing on the residual memory space, the class value and the state coefficient of the primary memory, taking the numerical value, analyzing the numerical value to obtain a storage value, and marking the primary memory with the maximum storage value as a target memory; and respectively selecting corresponding related information according to the relation of matching the priority value and the storage value from large to small to store the corresponding related information in a corresponding memory.
As a preferred embodiment of the present invention, the storage analysis unit analyzes the decrypted related information and generates a priority value, specifically:
step one: the transmission value and the data quantity of the related information are called; comparing the transmission value with a set threshold interval, and when the transmission value is larger than the maximum value in the set threshold interval, marking as a high transmission index and matching the high transmission index with an index formula I; when the transmission value is within the set threshold value interval, the transmission value is recorded as a medium transmission index, and the medium transmission index is matched with an index formula II; when the transmission value is smaller than the minimum value in the set threshold interval, the transmission value is recorded as a low transmission index and is matched with an index formula III; the first index formula is: log of a1 (c1×m1); the index formula II is: log of a2 (c2×m1); the index formula three is: log of a3 (c3×M1), where a1 > a2 >0 is more than a3, and c1, c2 and c3 are preset weight coefficients respectively; substituting the transmission value M1 into a matched index formula to obtain a transmission coefficient;
step two: comparing the data quantity with a set threshold interval, and recording corresponding related information as a large amount of information when the data quantity is larger than the maximum value in the set threshold interval; when the data quantity is within the set threshold value interval, corresponding related information is recorded as medium information; when the data quantity is smaller than the minimum value in the set threshold value interval, the corresponding related information is recorded as low-quantity information; setting a large amount of information, medium amount of information and low amount of information to respectively correspond to one data amount coefficient, and matching the data amount with all the data amounts to obtain the corresponding data amount coefficient;
step three: the transmission coefficient y1 and the data amount coefficient y2 are subjected to a preset formula yz=d1×y1+d2×y2 to obtain a priority value YZ, and related information is ordered according to the priority value and sent to the information distribution unit.
As a preferred embodiment of the present invention, the information distribution unit stores the relevant information in a distribution memory, specifically:
step one: acquiring the distance between a memory and a management platform, and recording the memory in a set range as a primary memory;
step two: obtaining the access speed, response time and throughput of the primary memory in unit time; the access speed tm1, the response time tm2 and the throughput tm3 are obtained by a preset formulaThe state value ZT is used for comparing and analyzing the state value and a set threshold interval, and when the state value is larger than the maximum value in the set threshold interval, the memory corresponding to the state value is recorded as an optimal memory; when the state value is within the set threshold value interval, the memory corresponding to the state value is recorded as a good state memory; when the state value is smaller than the minimum value in the set threshold interval, the memory corresponding to the state value is marked as a fatigue memory; setting the optimal state memory, the good state memory and the fatigue state memory to correspond to one state respectivelyThe state coefficient is matched with the state of the memory to obtain a corresponding state coefficient;
step three: acquiring the types of the primary memories, presetting a class value corresponding to each type of memory, and matching the types of the memories with all types of memories to obtain the corresponding class value; obtaining the memory space of the primary memory, and passing the residual memory space Tb1, the memory space Tb2, the class value Tb3 and the state coefficient Tb4 through a preset formulaObtaining a storage value CTB, wherein g1, g2, g3 and g4 are respectively preset weight coefficients, eta is a preset correction coefficient, and a memory with the largest storage value is marked as a target memory;
step four: and respectively selecting corresponding related information according to the relation of matching the priority value and the storage value from small to large and storing the corresponding related information into a corresponding memory.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps of obtaining a character value sequence by digitizing character information, simultaneously cutting the character information into a plurality of pixel grids by using image information, constructing a composite quadrangular pyramid by using four pixel grids as a group, and outputting the image value sequence; after interpolation operation is carried out on the character value sequence and the image value sequence, substituting the character value sequence and the image value sequence into a unitary one-time equation to obtain an encrypted ciphertext of the related information, and then carrying out information transmission according to a transmission value of the related information; the information encryption in the information acquisition and transmission process is realized, confidentiality and integrity protection are provided, and the data is ensured not to be read or tampered by an unauthorized third party; meanwhile, when the information transmission is congested, the information can be sequentially and orderly transmitted according to the output value, and the situation that important information cannot be timely transmitted and loss is caused due to the congestion of the information is avoided.
2. The method comprises the steps of respectively carrying out data analysis processing on related information and a memory to obtain a priority value and a storage value, respectively selecting corresponding related information according to a relation of matching from large to small one by one, and storing the corresponding related information into the corresponding memory; respectively carrying out multidimensional analysis on the related information and the memory to respectively obtain values of the comprehensive measurement related information and the memory, and storing the related information according to one-to-one correspondence of the values; a proper storage medium is selected to realize better matching of data characteristics, so that the storage efficiency and the data access speed are improved; and meanwhile, different memories are adopted for storage according to different storage values of related information, so that data protection and risk prevention are enhanced.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a general block diagram of a system of the present invention;
FIG. 2 is a schematic diagram of a pixel grid after image information amplification according to the present invention;
FIG. 3 is a schematic view of a composite quadricorn pyramid constructed based on image information in accordance with the present invention;
fig. 4 is a time duration bar graph of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, a data transmission management system based on a distributed wireless sensor includes a plurality of distributed sensors, an information transmission module, a management platform and a plurality of memories; acquiring related data information through a distributed sensor, wherein the related information comprises acquired character information and image information;
the information transmission module encrypts the related information to obtain a related information ciphertext, and sends the related information ciphertext to the management platform; the encryption process comprises the following steps:
setting that each character has only one corresponding value, matching the characters in the related information with all the set characters to obtain corresponding values, and arranging the values according to the sequence of the characters to obtain a character value sequence; respectively carrying out difference value sum calculation on adjacent numerical values to obtain an adjacent difference 1 and an adjacent sum 2, when the adjacent difference is larger than a set difference value 1, marking the middle position of the front numerical value and the rear numerical value corresponding to the adjacent difference as filling positions, carrying out interpolation operation to obtain a character encryption ciphertext, and marking the character encryption ciphertext as Zk;
referring to fig. 2, the image is locally enlarged until only one color exists in the pixel grid, and the color and the coordinates of the pixel grid are identified; setting only one corresponding value of each color, and matching the color of the pixel grid with the set color to obtain the corresponding value; referring to fig. 3, four pixel cells are taken as a group, and the pixel cell B separated by one position unit to the left and the pixel cell C, D separated by one position unit to the down by A, B are taken as the base points of the pixel cells where a is located; constructing a rectangle by taking A, B, C as a length, width and height, taking the central position of the top surface of the rectangle as a starting point, taking D as a vertical line, and connecting the vertexes of the vertical line with the four vertexes of the top surface of the rectangle to construct a composite quadrangular pyramid; wherein A, B, C and D refer to the corresponding values of the pixel grid colors;
by setting the formulaObtaining an image conversion value TZ, wherein the image conversion value is a numerical sequence formed by using the sequence of S1, S2, S3 and V at intervals "/", and the conversion value corresponding to the image information is arranged according to the corresponding pixel grid coordinates to obtain a corresponding image numerical sequence, and the method is specifically expressed as follows: the first row of first group pixel grid conversion values+the first row of second group pixel grid conversion values+ … … +m1 row of first group pixel grid conversion values+ … … +m1 row of m2 group pixel grid conversion values form an image numerical sequence, and m1 and m2 are positive integers; wherein S1 represents a local area formed by side lengths A and B in the composite quadrangular pyramid, S2 represents a local area formed by side lengths B and C in the composite quadrangular pyramid, S3 represents a local area formed by side lengths A and C in the composite quadrangular pyramid, and V represents a conical volume formed by S2 as a bottom D and high;
performing difference calculation on adjacent numerical values in the image numerical value sequence to obtain adjacent differences, marking the middle position of the adjacent numerical values as a filling position when the adjacent differences are larger than a set difference value, performing interpolation operation on the filling position to obtain an image encryption ciphertext, and marking the image encryption ciphertext as Tk;
the interpolation operation comprises the following specific steps: counting the number of filling positions and extracting adjacent differences and adjacent sums corresponding to the filling positions; the number of filling positions, the adjacent difference and the adjacent sum are respectively marked as n, i and j, and are substituted into a preset formula (i+j) n-1 And expanding the material to obtain an expanded type:v x1 、v x(k+1) and v xn Respectively, the weight coefficients of the preset expansion items, wherein x=1 or 2 represents the weight coefficient of the character numerical value sequence when the value of x is 1, and represents the weight coefficient of the image conversion value when the value of x is 2; n and k are positive integers; wherein the general formula of any filling position is +.>And rounding the general formulaObtaining a filling number, and arbitrarily selecting the number of 0-9 equal to the filling number to fill the filling position; filling all filling positions according to the filling number rounded by the corresponding general formula to obtain an encrypted ciphertext; the concrete steps are as follows: for n=0, the general formula is +.>And rounding to obtain the filling number of the first filling position of the numerical sequence, and optionally selecting the number of 0-9 equal to the filling number according to the filling number to fill the first filling position in the numerical sequence; filling the numbers with the number which is optionally equal to the filling number one by one according to the general formula and the filling number of the whole numbers to obtain an encrypted ciphertext;
substituting the character ciphertext and the image ciphertext into a preset valueBinary one-time equations obtain related information encryption ciphertext y1 and y2, wherein b1, b2, b3 and b4 are respectively preset factors, b1 is not equal to b3, and b2 is not equal to b4; according to different information acquired by the sensors, setting each sensor to correspond to a transmission value, acquiring a transmission value of related information, transmitting related information ciphertext acquired by the sensors to a management platform from large to small according to the corresponding transmission value, and realizing that the related information can be sequentially and orderly transmitted according to the importance degree when the information transmission is congested, so that the situation that the important information cannot be timely transmitted to cause loss due to the information congestion is avoided;
it should be noted that, the information collected by the distributed sensors is different, the importance degree of the information is also different, and according to the importance degree of the corresponding information collected by the sensors, each sensor is preset to correspond to a transmission value, the larger the transmission value is, the more important the corresponding information is than the other information, and the information transmission priority is greater than the other information priority; and marking the obtained text information ciphertext, image information ciphertext and numerical information ciphertext as information ciphertext, and sequentially transmitting the information ciphertext to a management platform according to the size of a transmission value.
Example 2:
on the basis of embodiment 1, the management platform comprises an information transfer unit, a storage analysis unit and an information distribution unit;
the information transfer unit decrypts the related information ciphertext and sends the decrypted information ciphertext to the storage analysis unit;
the storage analysis unit analyzes the decrypted related information and generates a priority value, and the specific analysis process is as follows: the transmission value and the data quantity of the related information are called, wherein the data quantity refers to the quantity of storage space occupied by the related information, and the larger the data quantity of the related information is, the higher the requirement on the memory of the storage device is;
comparing the transmission value M1 with a set transmission interval Q1, and when the transmission value is larger than the maximum value in the set transmission interval Q1, marking as a high transmission index and matching the high transmission index with an index formula I; when the transmission value is within the set transmission interval Q1, thenMarking as a medium transmission index and matching the medium transmission index to an index formula II; when the transmission value is smaller than the minimum value in the set transmission interval Q1, the transmission value is recorded as a low transmission index and is matched with an index formula III; the first index formula is: log of a1 (c1×m1); the index formula II is: log of a2 (c2×m1); the index formula three is: log of a3 (c3×m1), wherein a1 > a2 > 0 > a3, and c1, c2 and c3 are preset weight coefficients, respectively; substituting the transmission value M1 into a matched index formula to obtain a transmission coefficient;
setting a data volume section Q2, and when the data volume is larger than the maximum value in the set data volume section Q2, describing the current information, and recording the corresponding related information as a large amount of information; when the data quantity is within the set data quantity Q2, corresponding related information is recorded as medium information; when the data amount is smaller than the minimum value in the set data amount interval Q2, the corresponding related information is recorded as low-amount information; setting a large amount of information, medium amount of information and low amount of information to respectively correspond to one data amount coefficient, and matching the data amount with all the data amounts to obtain the corresponding data amount coefficient; the transmission coefficient y1 and the data amount coefficient y2 are subjected to a preset formula yz=d1×y1+d2×y2 to obtain a priority value YZ, and the related information is ordered according to the priority value, and the ordering of the related information is sent to the information distribution unit.
The information distribution unit distributes the relevant information to the memory for storage, and specifically comprises the following steps:
the distance between the memory and the management platform is obtained and is recorded as a transmission distance, the transmission distance is compared with a set distance, and when the transmission distance is smaller than the set distance, the corresponding memory is recorded as a primary memory;
obtaining access speed, response time and throughput of a primary memory in unit time, wherein the unit time is hour; the access speed tm1, the response time tm2 and the throughput tm3 are obtained by a preset formulaStatus value ZT; a set state zone Z1, when the state value is larger than the maximum value in the set state zone Z1, the state of the current memory is in a good transition stateThe memory corresponding to the state value is marked as an optimal state memory; when the state value is within the set state interval Z1, the state of the current memory is in a good state, and the memory corresponding to the state value is recorded as a good state memory; when the state value is smaller than the minimum value in the set state interval Z1, the state value indicates that the storage state of the current storage is not good, and the storage corresponding to the state value is recorded as a fatigue state storage; setting an optimal state memory, a good state memory and a fatigue state memory To respectively correspond To a state coefficient, and marking the state coefficient as To, wherein o=1, 2 and 3; t1 represents a state coefficient corresponding to the optimal state memory when o=1, T2 represents a state coefficient corresponding to the optimal state memory when o=2, and T3 represents a state coefficient corresponding to the optimal state memory when o=3;
acquiring the types of the primary memories, presetting a class value corresponding to each type of memory, and matching the types of the memories with all types of memories to obtain the corresponding class value; obtaining the memory space of the primary memory, and passing the residual memory space Tb1, the memory space Tb2, the class value Tb3 and the state coefficient Tb4 through a preset formulaObtaining a storage value CTB, wherein g1, g2, g3 and g4 are respectively preset weight coefficients, and eta is a preset correction coefficient; marking the memory with the largest storage value as a target memory; and respectively selecting corresponding related information according to the relation of matching the priority value and the storage value from large to small and storing the corresponding related information into a corresponding memory.
Example 3:
on the basis of embodiment 1, the management platform is further configured to collect access time data of related information and perform preset transmission value analysis, where the access time data includes an access initial time and an access end time;
the specific process of analyzing the access time data is as follows:
performing time difference calculation on all access initial time and access end time to obtain single access time length, sorting according to the sequence of the access end time, removing the access end time from the sequence if the same access end time exists, simultaneously counting the same number of the access end time, multiplying the same number by a preset repeated value to obtain a re-identity value of the access end time, and summing the re-identity values of all the same access end time to obtain a re-identity total value;
substituting the ordered access ending time and the corresponding single access time into a time length column diagram in sequence, as shown in fig. 4, so as to obtain a time length column corresponding to the single access time length, connecting the vertexes of two adjacent time length columns, constructing a column neighbor triangle, calculating the area of the column neighbor triangle, extracting the numerical value of the area to obtain a column neighbor value, and marking the column neighbor value as a column neighbor high value when the previous time length column is higher than the subsequent time length column; when the previous time length column is lower than the subsequent time length column, marking the column adjacent value as a column adjacent low value, and respectively summing all column adjacent high values and column adjacent low values to obtain a column height total value and a column low total value; obtaining a column neighbor ratio by comparing the column low total value with the column upper total value;
counting the total number of the access ending moments and extracting the numerical value to obtain an access junction value; normalizing the post-neighbor ratio, the weight-equivalent total value and the post-neighbor ratio and marking the post-neighbor ratio as EQ1, EQ2 and EQ3 respectively;
substituting the transmission value custom model m1=eq1×qz1+eq2×qz2+eq3×qz3+zy to obtain a transmission value M1; wherein qz1, qz2 and qz3 are weight factors, and ZY is the importance quantization value of the distributed wireless sensor corresponding to the related information; the transmission value M1 is fed back to the information transmission module;
the transmission value is obtained by analyzing the access time data of the related information, so that intelligent transmission can be conveniently carried out according to the access condition of the data, and the high-frequency access data can be reasonably and timely transmitted.
When the method is used, the character information is digitized to obtain a character value sequence, meanwhile, the image information is cut into a plurality of pixel grids, four pixel grids are used as a group to construct a composite quadrangular pyramid, image conversion values are output, and the conversion values corresponding to the image information are arranged according to the coordinates of the corresponding pixel grids to obtain a corresponding image value sequence; after interpolation operation is carried out on the character value sequence and the image value sequence, substituting the character value sequence and the image value sequence into a unitary one-time equation to obtain an encrypted ciphertext of the related information, and then carrying out information transmission according to a transmission value of the related information; the information encryption in the information acquisition and transmission process is realized, confidentiality and integrity protection are provided, and the data is ensured not to be read or tampered by an unauthorized third party; meanwhile, when the information transmission is congested, the information can be sequentially and orderly transmitted according to the output value, so that the situation that important information cannot be timely transmitted and loss is caused due to the congestion of the information is avoided;
comparing the transmission value with a set threshold value and matching to obtain an index formula by calling the transmission value and the numerical value, and substituting the output value into the corresponding index formula to obtain a transmission coefficient; comparing and analyzing the data quantity with a set threshold value, matching to obtain a corresponding data quantity coefficient, normalizing the transmission coefficient and the data quantity coefficient, taking the numerical value of the transmission coefficient and the data quantity coefficient, analyzing the numerical value to obtain a priority value, sequencing related information according to the priority value, and sending the priority value to an information distribution unit; meanwhile, a memory in a storage range is recorded as a primary memory, the access speed, response time and throughput of the primary memory are called, normalization processing is carried out, the numerical value is taken, and the numerical value is analyzed to obtain a state value; dividing the memory into an optimal state memory, a good state memory and a fatigue state memory according to the state values, setting different states of the memory to respectively correspond to one state coefficient, carrying out normalization processing on the residual memory space, the class value and the state coefficient of the primary memory, taking the numerical value, analyzing the numerical value to obtain a storage value, and marking the primary memory with the maximum storage value as a target memory; the priority value and the storage value are matched one by one from large to small to obtain a relation, and corresponding related information is selected and stored in a corresponding memory; respectively carrying out multidimensional analysis on the related information and the memory to respectively obtain values of the comprehensive measurement related information and the memory, and storing the related information according to one-to-one correspondence of the values; a proper storage medium is selected to realize better matching of data characteristics, so that the storage efficiency and the data access speed are improved; and meanwhile, different memories are adopted for storage according to different storage values of related information, so that data protection and risk prevention are enhanced.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (5)

1. The utility model provides a data transmission management system based on distributed wireless sensor, includes management platform, and with management platform communication connection's information transmission module and a plurality of distributed wireless sensor who is connected with information transmission module, its characterized in that:
the information transmission module is used for receiving the related information sent by the distributed wireless sensor and carrying out encryption processing to obtain a related information ciphertext, and sending the related information ciphertext to the management platform; the encryption processing comprises the following specific steps:
a1: setting that each character has only one corresponding value, matching the characters in the related information with all the set characters to obtain corresponding values, and arranging the values according to the sequence of the characters to obtain a character value sequence; calculating the sum of the difference values and the adjacent sum to obtain the adjacent difference and the adjacent sum, when the adjacent difference is larger than a set threshold value, marking the position between the two values corresponding to the adjacent difference as a filling position, and performing interpolation operation at the filling position to obtain a character encryption ciphertext;
a2: locally amplifying the image until only one color exists in the pixel grid, setting only one unique numerical value corresponding to each color, and matching the color of the pixel grid with the set color to obtain the corresponding numerical value; four pixel grids are used as a group; acquiring numerical values corresponding to the colors of the pixel grids in a group, and respectively marking the numerical values as A, B, C and D; constructing a composite quadricorn cone by A, B, C and D, and processing the composite quadricorn cone to obtain an image conversion value;
performing difference sum calculation on adjacent numerical values in the image conversion values to obtain adjacent difference and adjacent sum, marking the middle position of the adjacent numerical values as a filling position when the adjacent difference is larger than a set threshold value, and performing interpolation operation on the filling position to obtain an image encryption ciphertext;
a3: substituting the character encryption ciphertext and the image encryption ciphertext into a binary one-time equation to obtain an encryption ciphertext of the related information; setting a transmission value corresponding to each sensor, wherein the information acquired by the distributed sensors is different, the importance degree of the information is also different, and presetting that each sensor corresponds to one transmission value according to the importance degree of the corresponding information acquired by the sensors, wherein the larger the transmission value is, the more important the corresponding information is than the other information, and the information transmission priority is higher than the other information priority; acquiring a transmission value of the related information, and transmitting the encrypted ciphertext of the related information acquired by the sensor to a management platform according to the sequence from the large to the small of the corresponding transmission value;
the management platform is used for decrypting the received encrypted ciphertext of the related information to obtain the related information, analyzing the related information and the memory to obtain a priority value and a storage value, and respectively selecting the corresponding related information to store to the corresponding memory according to the relation that the priority value and the storage value are matched from large to small one by one.
2. The distributed wireless sensor-based data transmission management system according to claim 1, wherein the interpolation operation comprises the following specific steps:
counting the number of filling positions, extracting adjacent differences and adjacent sums corresponding to the filling positions, substituting the adjacent differences and the adjacent sums into a preset formula, and expanding the formula to obtain an expansion type; and (3) performing integer taking operation on the expansion type to obtain a filling number, and optionally selecting numbers with the number equal to the filling number from 0-9 to fill the filling position to obtain the encrypted ciphertext.
3. The data transmission management system based on the distributed wireless sensor according to claim 1, wherein the management platform further comprises an information transfer unit, a storage analysis unit and an information distribution unit;
the information transfer unit is used for decrypting the related information ciphertext and sending the decrypted related information ciphertext to the storage analysis unit;
the storage analysis unit is used for calling the transmission value of the related information, comparing the transmission value with a set threshold value to obtain a corresponding index formula matched with the transmission value, and substituting the transmission value into the corresponding index formula to obtain a transmission coefficient; simultaneously acquiring data volume, analyzing the data volume and a set threshold value to obtain a data volume coefficient, normalizing the transmission coefficient and the data volume coefficient, taking the numerical value of the transmission coefficient and the data volume coefficient, analyzing the numerical value to obtain a priority value, sequencing related information according to the priority value, and sending the priority value to a storage analysis unit;
the information distribution unit stores the related information distribution memory.
4. A data transmission management system based on a distributed wireless sensor according to claim 3, wherein the storage analysis unit analyzes the decrypted related information and generates a priority value, specifically:
step one: the transmission value and the data quantity of the related information are called; comparing the transmission value with a set threshold interval, and when the transmission value is larger than the maximum value in the set threshold interval, marking as a high transmission index and matching the high transmission index with an index formula I; when the transmission value is within the set threshold value interval, the transmission value is recorded as a medium transmission index, and the medium transmission index is matched with an index formula II; when the transmission value is smaller than the minimum value in the set threshold interval, marking as a low transmission index, matching the low transmission index to an index formula III, and substituting the transmission value into the matched index formula to obtain a transmission coefficient;
step two: comparing the data quantity with a set threshold interval, and recording corresponding related information as a large amount of information when the data quantity is larger than the maximum value in the set threshold interval; when the data quantity is within the set threshold value interval, corresponding related information is recorded as medium information; when the data quantity is smaller than the minimum value in the set threshold value interval, the corresponding related information is recorded as low-quantity information; setting a large amount of information, medium amount of information and low amount of information to respectively correspond to one data amount coefficient, and matching the data amount with all the data amounts to obtain the corresponding data amount coefficient;
step three: and normalizing the transmission coefficient and the data quantity coefficient, taking the numerical value of the transmission coefficient and the data quantity coefficient, analyzing the numerical value to obtain a priority value, sequencing related information according to the priority value, and sending the related information to an information distribution unit.
5. A data transmission management system based on a distributed wireless sensor according to claim 3, wherein the information distribution unit stores the relevant information distribution memory, specifically:
step one: acquiring the distance between a memory and a management platform, and recording the memory in a set range as a primary memory;
step two: obtaining the access speed, response time and throughput of the primary memory in unit time; normalizing the data and taking the numerical value, analyzing the numerical value to obtain a state value, comparing and analyzing the state value with a set threshold interval, and when the state value is larger than the maximum value in the set threshold interval, marking a memory corresponding to the state value as an optimal memory; when the state value is within the set threshold value interval, the memory corresponding to the state value is recorded as a good state memory; when the state value is smaller than the minimum value in the set threshold interval, the memory corresponding to the state value is marked as a fatigue memory; setting a state coefficient corresponding to the optimal state memory, the good state memory and the fatigue state memory respectively, and matching the state of the memory with the state coefficient to obtain a corresponding state coefficient;
step three: acquiring the types of the primary memories, presetting a class value corresponding to each type of memory, and matching the types of the memories with all types of memories to obtain the corresponding class value; acquiring a memory space of a primary memory, obtaining a memory value by data processing of the remaining memory space, the class value and the state coefficient, and marking the memory with the largest memory value as a target memory;
step four: and respectively selecting corresponding related information according to the matching relation of the priority value and the storage value from small to large to store the corresponding related information in a corresponding memory.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318510A (en) * 2014-11-14 2015-01-28 西北农林科技大学 Image encryption and interpretation method based on Matlab
CN107770405A (en) * 2017-10-23 2018-03-06 北京邮电大学 Image encryption method and device
CN112118323A (en) * 2020-11-18 2020-12-22 北京滕华软件有限公司 Data encryption modularization cloud storage system based on artificial intelligence
CN113330499A (en) * 2019-01-30 2021-08-31 索尼集团公司 Sensor device and encryption method
WO2022098255A1 (en) * 2020-11-05 2022-05-12 Публичное Акционерное Общество "Сбербанк России" Method for steganographically encoding and decoding a digital image
CN114615474A (en) * 2022-03-24 2022-06-10 杭州登虹科技有限公司 Monitoring system for distributed storage monitoring video
CN115205320A (en) * 2022-09-19 2022-10-18 江苏广海检验检测有限公司 Encryption transmission method based on environment monitoring data

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020158539A1 (en) * 2019-01-30 2020-08-06 ソニー株式会社 Encryption device, encryption method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318510A (en) * 2014-11-14 2015-01-28 西北农林科技大学 Image encryption and interpretation method based on Matlab
CN107770405A (en) * 2017-10-23 2018-03-06 北京邮电大学 Image encryption method and device
CN113330499A (en) * 2019-01-30 2021-08-31 索尼集团公司 Sensor device and encryption method
WO2022098255A1 (en) * 2020-11-05 2022-05-12 Публичное Акционерное Общество "Сбербанк России" Method for steganographically encoding and decoding a digital image
CN112118323A (en) * 2020-11-18 2020-12-22 北京滕华软件有限公司 Data encryption modularization cloud storage system based on artificial intelligence
CN114615474A (en) * 2022-03-24 2022-06-10 杭州登虹科技有限公司 Monitoring system for distributed storage monitoring video
CN115205320A (en) * 2022-09-19 2022-10-18 江苏广海检验检测有限公司 Encryption transmission method based on environment monitoring data

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