CN105631000A - Terminal-caching data compression method based on mobile terminal position characteristic information - Google Patents

Terminal-caching data compression method based on mobile terminal position characteristic information Download PDF

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Publication number
CN105631000A
CN105631000A CN201510999453.4A CN201510999453A CN105631000A CN 105631000 A CN105631000 A CN 105631000A CN 201510999453 A CN201510999453 A CN 201510999453A CN 105631000 A CN105631000 A CN 105631000A
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data
mobile terminal
terminal
characteristic information
feature
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CN105631000B (en
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贺安鹰
陶军
翟天琦
卜意磊
索春亭
刘迪
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WISCOM SYSTEM CO Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/174Redundancy elimination performed by the file system
    • G06F16/1748De-duplication implemented within the file system, e.g. based on file segments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/174Redundancy elimination performed by the file system
    • G06F16/1744Redundancy elimination performed by the file system using compression, e.g. sparse files
    • 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
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention relates to a terminal-caching data compression method based on mobile terminal position characteristic information. The method comprises the steps that preprocessing is conducted on data by utilizing the characteristic that mobile terminal data has position characteristic information, the processing procedure of a mobile terminal is reduced, and meanwhile a periodic method is adopted to detect and compress the terminal data to reduce energy consumption of mobile equipment; duplicate removal is conducted on the mobile terminal data through online and offline modes, high-frequency vocabularies in the mobile terminal data are found out, characteristic information of positions is updated periodically, the vocabularies are stored in a dictionary for coding, and codes replace the corresponding vocabularies to be stored in the terminal finally. By means of the terminal-caching data compression method based on the mobile terminal position characteristic information, processing on data repetition and data redundancy is achieved, and the storage burden of the mobile terminal is reduced.

Description

Based on the data compression method of the terminal buffers of mobile terminal locations characteristic information
Technical field
The invention belongs to communication field, it is specifically related to the data compression method of a kind of terminal buffers based on mobile terminal locations characteristic information.
Background technology
Along with the arrival of big data age, the data volume related in various application sharply expands, and take mobile terminal as the redundancy problem that the various applied business of carrier also face that the storage space that such as terminal node is limited cannot carry in the problem of variation Mobile solution demand and numerous applied business the information generally existed. In sum, how can find efficient data compression method, avoid the redundancy of data to deposit, reduce application to the demand of mobile terminal storage space, with the existing storage resources of maximum using mobile terminal, become in current various application, the work needed research badly and carry out. Terminal node is carried out fruitful data compression work and seems particularly necessary, therefore receive the concern of each side.
Current data compression technology can be divided into two classes: lossy compression method and harmless compression. The compression process of lossy compression method can be lost the raw information of a part, but the data of the mobile terminal of the present invention's research, it is desirable that complete raw information can be preserved, and accurately can reconstruct raw data thus reduce the lossless compressiong of data volume from compression data. Harmless compression algorithm comprises: 1) coding of the Huffman based on probability-statistics occur by character, but the frequency of character repetition that it is often limited in specifying information, except compression performance inconsistency greatly except, also because the essence of its elongated coding, in file is searched, also can bring extra statistics and computation burden; 2) algorithm coding has higher manometric efficiency, but computational complexity height have impact on its practicality on the mobile terminal of energy constraint; 3) the algorithm thought of distance of swimming coding is simple, reduction degree height, but needs to compress several times, and the compression time is long, and manometric efficiency is lower, and the scope of application is limited; 4) adaptability of LZ serial algorithm in data compression algorithm is very strong, but this kind of algorithm is by the impact of window size, and needs straight line to original text beginning every time, for the overlong time that longer original text needs. So far, therefore there is no the ripe data compression algorithm for mobile terminal node.
Although there being a lot of compression algorithms to be suggested, but the algorithm applying to mobile terminal is little, the method energy-conservation for mobile terminal nowadays put forward can be divided into the compression algorithm based on Data Transmission Feature and packet structure and the compression algorithm based on data dependence between node on the whole. The former great advantage is to calculate simply, but do not make full use of the dependency of end sensor node self, so efficiency comparison is low, and the latter is the compression utilizing the dependency of data between terminal to carry out data, but the requirement of the data processing of terminal is higher, so do not obtain very big popularization.
Also some patent carries out processed compressed for the content of terminal, if patent CN105007412A is exactly the photo storage method for mobile terminal, carry out picture compression by proposing " reference picture " concept thus realize the function reducing the storage space that continuous photo takies.
Summary of the invention
It is an object of the invention to design the compression method that terminal buffers data carry out based on location information of mobile terminal simplification fast, solve the data redundancy problem of terminal, reduce the storage burden of terminal.
For achieving the above object, the present invention adopts following technical scheme: the present invention is divided into three parts, is respectively: position feature information is extracted, the process of mobile terminal data and the reduction of data. The performing step of whole method is specific as follows:
1, the extraction of position feature information:
Step 1-1, carries out regional category division, comprises school, company city, and park is at interior region classification example;
Step 1-2, stores the position of each classification, sets up cloud database, finds out the characteristic vocabulary of each classification;
Step 1-3, encodes each feature word, goes into corresponding dictionary;
2, the process of mobile terminal data:
The finite energy of mobile equipment, mobile terminal constantly processes data can consume a large amount of energy, so the present invention will adopt the method data of mobile terminal compressed every the time of one to reduce the consumption of energy. First the data of reading are deposited in the buffer memory district of mobile terminal, carry out batch processing again when reaching certain cycle time, be finally deposited in terminal. Concrete steps are as follows:
Step 2-1, mobile equipment enters certain region, obtains the positional information of mobile terminal;
Step 2-2, data read in and stored in the database of mobile terminal;
Step 2-3, finding the data repeated, if having, carrying out the deletion of data, it does not have then carry out next step;
Step 2-4, ergodic data, charges in cloud database by the high frequency vocabulary in data, upgrades the position feature information under this position, it is encoded accordingly;
Step 2-5, compares the feature vocabulary under the data of reading and this position, if having, replacing these data stored in mobile terminal buffer memory with the coding that this feature vocabulary is corresponding, and adding "/% " such identifier; If no, then directly stored in.
3, the reduction of data:
Above process just completes the compression of the data of mobile terminal, eliminates redundancy, it is to increase the utilization ratio of internal memory, but stored in data finally all need to be read, so what next we to be done is reduction step, concrete step is as follows:
Step 3-1, reads in the data file after compression from terminal buffers;
Step 3-2, the data in traversal terminal, when occurring that "/% " then represents, time such character occurs, the feature vocabulary having occurred in dictionary, then table look-up, are the feature vocabulary of mobile equipment position by code restoration, it does not have then directly read;
Step 3-3, repeating step 3-2, complete until separating pressure;
Step 3-4, the file of output squeezing.
Mobile equipment self finite energy, the spatial complex Du Taigao that tradition algorithm needs and the processing power of mobile terminal are not strong again so that we must search out a kind of than traditional algorithm will more succinct and fast method realize the compression of terminal data. Again because nowadays mobile equipment can effectively obtain the positional information of oneself, and the feature of positional information is obvious, and the frequency stored in a device is too high. Make the present invention find this to be breach, by a certain specific position, obtain its corresponding characteristic information, form corresponding dictionary encoding stored in mobile terminal, thus simplify data compression further. In addition, there is a large amount of repeating data blocks in mobile terminal data, this kind of data block had both occupied internal memory, turn increased the burden of bandwidth. So before carrying out data compression, the deletion work of advanced row data, the object done so both can reduce the redundancy of data, can be again more less burdens calculated of compression of data afterwards.
The algorithm of the present invention for the deficiency of existing algorithm and the feature according to the data of mobile terminal own improve, it is achieved that to the compression of terminal buffers data. The data of mobile terminal are processed by the method for periodic of the present invention; Compression data, reduce consuming excessively of internal memory; The process of terminal buffers is succinct fast. In addition, the data of mobile terminal buffer memory are carried out periodically processed compressed by obtaining the position feature information at mobile terminal place by the present invention.
The core concept of the present invention is exactly the energy consumption problem for mobile terminal, storage problem and the problem of calculating, devise the periodic data compression method for position feature, first processed by the position feature residing for mobile equipment, while reading in data, position feature is upgraded, by the information of position feature, is changed into dictionary encoding information, stored in mobile terminal, reduce the burden stored, finally again data are reduced, export former original data. Information of mobile terminal is carried out periodically rapid data based on mobile terminal locations characteristic information and disappears superfluous data compression method by the present invention, for comprising that mobile terminal processing power is limited, storage capacity and ability is limited, the feature of the cognation of data content, while exceeding consumption mobile terminal processing power and energy, effectively reduce and store burden, it is to increase the operational efficiency of mobile ad-hoc network.
Accompanying drawing explanation
Fig. 1 is the form of the data packet imported into;
Fig. 2 is the whole data transmission procedure of the present invention;
Fig. 3 is the preprocessing process of data;
Fig. 4 is the process illustrated in preprocessing process feature vocabulary;
Fig. 5 is the refinement schema of data compression process and reduction of data step.
Embodiment
In order to make the object of the present invention, feature and process more clear, illustrate below in conjunction with accompanying drawing and with specific embodiment, the compression algorithm of the present invention is described further.
Embodiment 1:
The form being illustrated in figure 1 the data packet imported into, the byte number shared by each region of numeral. Object address and source address account for 6 bytes respectively, and the size of data imported into is in 6 to 1500 bytes, and last redundancy check accounts for 4 bytes.
Being illustrated in figure 2 the data transmission procedure that the present invention is whole, the process mid-score of mobile terminal is according to compression and reduction of data two parts.
The present invention is divided into following three steps based on the data compression method of the terminal buffers of mobile terminal locations characteristic information: positional information feature is extracted, the process of mobile terminal data and the reduction of data. It is concrete that to realize process as follows:
1, the extraction of positional information feature
Present data volume is too huge, and the information characteristics of position-based is obvious, again because mobile equipment easily can obtain the positional information of oneself by comprising a lot of method of GPS, so first data being carried out pretreatment work.
And the present invention be directed to the terminal compression method that the position feature information of mobile terminal carries out, the position of mobile terminal is obtained by the map software that Baidu's map is this kind of, interface according to these map software, find out the characteristic information under this geographical position, the search information of corresponding high frequency can be had in the scope that each geographical position is certain, these information are called as characteristic information, the present invention is by setting up the database in high in the clouds, these characteristic informations are encoded, form corresponding dictionary, and regular update data.
Now for Nanjing city, as shown in Figure 4.
Step 1-1, carries out positional division to city, Nanjing, comprises Xin Jie Kou, school, company, and park is at interior region classification example;
Step 1-2, according to residing geographical position, sets up cloud database, the high frequency vocabulary occurred under finding out this position feature, referred to herein as characteristic vocabulary, such as, " Xin Jie Kou ", characteristic vocabulary comprises " shopping ", " clothes ", " footwear ", " diet "; Such as " school " this geographical position, the feature vocabulary of position just comprises " teacher ", " student ", " examination ", because the position feature information corresponding to different positions is different, distinguishes according to this species diversity;
Step 1-3, to the feature vocabulary under these positional informations, in order to ensure its uniqueness, first can location information encode according to the order of numeral, such as being encoded to " 0 " of school, and being encoded to " 1 " of " Xin Jie Kou ". Because being based on the compression method under mobile terminal locations characteristic information, so the feature vocabulary under each positional information is also limited, carrying out corresponding feature vocabulary coding according to each position herein, the mode of coding is also the order according to numeral. Adding the coding of the positional information at this feature vocabulary place before the coding of each feature vocabulary, the coding such as " shopping " is exactly start with the coding of Xin Jie Kou " 1 ", is encoded to " 11 ", and concrete effect is as shown in Figure 4.
2, the process of mobile terminal data
The finite energy of mobile equipment, data are carried out the computing amount that place can increase terminal every time, a large amount of consumption of electricity can be caused, so the consumption that the present invention will adopt the method often data of mobile terminal processed at regular intervals to carry out less energy, the time cycle here can be 3 hours. When not carrying out data processing, the data of reading in the buffer memory district being deposited into mobile terminal, will carry out batch processing after one period of cycle time again, are finally deposited in the buffer memory of mobile terminal. Concrete data processing step is as follows:
Step 2-1, when mobile equipment enters certain geographic location area, we can obtain the positional information of mobile terminal by GPS or other approach;
Step 2-2, data read in mobile terminal and by it stored in, in buffer memory district, next carrying out periodic processed compressed;
Step 2-3, finds the data block repeated, and data block here can be that some have only changed the data of the partial document that can ignore, it is also possible to is the data block having many parts to copy, if having, carries out the deletion work of data, if not, directly carrying out next step. In the process that the data read in carry out data deletion, also there are two kinds of modes, one is online, and one is off-line; Refer to online, if data have existed the data of just reading, just replace this data with pointer, directly write in terminal data; The mode of off-line just refers to, the data of reading are first deposited in terminal data, then whole data are traveled through, if there are the data repeated, then it is disappeared heavily;
Step 2-4, mobile terminal data previous step processed, travels through again, finds out high frequency vocabulary wherein, is used and encode replacement accordingly, upgrades the position feature information under this position, stored in the database in high in the clouds, it is encoded accordingly;
Step 2-5, feature vocabulary corresponding with positional information for the data of reading is compared, if having, replacing these data with the coding that this feature vocabulary is corresponding and adding tagged words "/% " stored in mobile terminal, it does not have then directly stored in the disk of mobile terminal.
3, the reduction of data
Above process just completes the compression of the data of mobile terminal, eliminates redundancy, it is to increase the utilization ratio of internal memory, but stored in data finally all need to be read, so what next we to be done is reduction step, concrete step is as follows:
Step 3-1, reads in the data file after compression from terminal;
Step 3-2, data in traversal terminal, when occurring that "/% " then represents, time such character occurs, the feature vocabulary having occurred in dictionary, then table look-up from cloud database, by the feature vocabulary that code restoration is mobile equipment position, it does not have then directly read;
Step 3-3, repeating step 3-2, complete until separating pressure;
Step 3-4, the file of output squeezing.
As shown in Figure 3, it can be seen that the data in mobile terminal become " 1 " such 1 byte from original " Xin Jie Kou " these 6 byte conversion, save the internal memory of part, and increasing along with the information of storage, the efficiency of this kind of method will be higher.
Need consideration energy-conservation for mobile terminal, and the processing power of data is not had the efficient feature of PC end, taking " high frequency vocabulary " as breach, utilize the feature according to geographical positional information that data are carried out pre-treatment, reduce the data processing process of mobile terminal, it is proposed that the cycle data compression method of brief version. The process of whole method achieves the renewal of positional information feature, the weight that disappears of data, the compression of data and the reduction work of data.
The present invention also can have other numerous embodiments; when not running counter to the present invention's spirit and essence thereof; those of ordinary skill in the art can make various corresponding change and distortion according to the present invention, and these change accordingly and are out of shape the protection domain that all should belong to the claims in the present invention.

Claims (7)

1. based on the data compression method of terminal buffers of mobile terminal locations characteristic information, it is characterised in that, the method is divided into 3 modules, is the extraction module of positional information feature respectively, the processing module of mobile terminal data and the recovery module of data.
2. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 1, it is characterised in that, the extraction module of described positional information feature, concrete steps are as follows:
Step 1, carries out regional category division, comprises school, company city, and park is at interior region classification example;
Step 2, carries out data storage to the position of each classification, sets up the database in high in the clouds, finds out the characteristic vocabulary of each classification;
Step 3, encodes each feature word, goes into corresponding dictionary.
3. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 1, it is characterised in that, the processing module of described mobile terminal data, concrete steps are as follows:
Step 1, mobile equipment enters certain region, obtains the positional information of mobile terminal;
Step 2, data read in and stored in the database of mobile terminal;
Step 3, finding the data repeated, if having, carrying out the deletion of data, it does not have then carry out next step;
Step 4, ergodic data, charges in cloud database by the high frequency vocabulary in data, upgrades the position feature information under this position, it is encoded accordingly;
Step 5, compares the feature vocabulary under the data of reading and this position, if having, replacing these data stored in mobile terminal buffer memory with the coding that this feature vocabulary is corresponding, and adding "/% " such identifier; If no, then directly stored in.
4. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 1, it is characterised in that, described data restoring module, concrete steps are as follows:
Step 1, reads in the data file after compression from terminal buffers;
Step 2, the data in traversal terminal, in time occurring that "/% " such character occurs, then table look-up from cloud database, are the feature vocabulary of mobile equipment position by code restoration, it does not have then directly read;
Step 3, repeating step 2, completes until separating pressure;
Step 4, the file of output squeezing.
5. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 2, it is characterized in that, in described step 2, the identification mode of characteristic vocabulary is: the position being obtained mobile terminal by map software, interface according to these map software, find out the position feature information under this geographical position, the search information that can have corresponding high frequency in the scope that each geographical position is certain, is described characteristic vocabulary.
6. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 2, it is characterised in that, in described step 3, coded system is: location information encodes according to the order of numeral.
7. the data compression method of the terminal buffers based on mobile terminal locations characteristic information according to claim 3, it is characterized in that, in described step 3, deleting duplicated data adopts online and off-line two kinds of modes, online deletion mode is: if having there are the data of just reading in data, just replace this data with pointer, directly write in terminal data; Off-line deletes mode: the data of reading are first deposited in terminal data, then whole data are traveled through, if there are the data repeated, then it is disappeared heavily.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108984574A (en) * 2017-06-05 2018-12-11 北京嘀嘀无限科技发展有限公司 Data processing method and device
CN111338581A (en) * 2020-03-27 2020-06-26 尹兵 Data storage method and device based on cloud computing, cloud server and system
CN111683050A (en) * 2020-05-12 2020-09-18 航天东方红卫星有限公司 Data compression method and system based on microsatellite telemetry characteristics

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CN104021121A (en) * 2013-02-28 2014-09-03 北京四维图新科技股份有限公司 Method, device and server for compressing text data
CN105007412A (en) * 2015-07-02 2015-10-28 成都亿邻通科技有限公司 Photo storage method for mobile terminal

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Publication number Priority date Publication date Assignee Title
US20080240226A1 (en) * 2007-03-28 2008-10-02 Anton Okmianski Record compression using incremental reverse templating
CN104021121A (en) * 2013-02-28 2014-09-03 北京四维图新科技股份有限公司 Method, device and server for compressing text data
CN103152430A (en) * 2013-03-21 2013-06-12 河海大学 Cloud storage method for reducing data-occupied space
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108984574A (en) * 2017-06-05 2018-12-11 北京嘀嘀无限科技发展有限公司 Data processing method and device
CN111338581A (en) * 2020-03-27 2020-06-26 尹兵 Data storage method and device based on cloud computing, cloud server and system
CN111683050A (en) * 2020-05-12 2020-09-18 航天东方红卫星有限公司 Data compression method and system based on microsatellite telemetry characteristics
CN111683050B (en) * 2020-05-12 2022-02-01 航天东方红卫星有限公司 Data compression method and system based on microsatellite telemetry characteristics

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