CN104598739A - Index system constructing method for overall efficiency of network - Google Patents
Index system constructing method for overall efficiency of network Download PDFInfo
- Publication number
- CN104598739A CN104598739A CN201510038846.9A CN201510038846A CN104598739A CN 104598739 A CN104598739 A CN 104598739A CN 201510038846 A CN201510038846 A CN 201510038846A CN 104598739 A CN104598739 A CN 104598739A
- Authority
- CN
- China
- Prior art keywords
- index
- weight
- network
- layer
- overall efficiency
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
The invention discloses an index system constructing method for overall efficiency of a network. The index system constructing method comprises the following steps: S1, preliminarily drawing up a key index set, selecting key efficiency indexes and determining an index set; S2, refining same-layer indexes and calculating weight, and constructing weight factors of the efficiency indexes relative to the integral efficiency; S3, calculating cross-layer index weight, realizing index weight weighted calculation of a high layer relative to a layer adjacent to the high layer and further realizing index weight weighted calculation of a higher layer on the relative high layer, thereby forming an integral efficiency estimation function with weighted weight. According to the index system constructing method, integral efficiency of the network is estimated by selecting efficient indexes from different levels and different aspects, so that problems of one-sidedness, limitation and the like in a single performance index estimation process in the prior art are effectively solved, and the integral efficiency and the group efficiency of the system are reflected better.
Description
Technical field
The invention belongs to networking technology area, particularly relate to a kind of index system construction method of network-oriented overall efficiency, particularly relate to layer and enter formula key index choosing method.
Background technology
Network performance evaluation is one of challenging problem in Evaluation of Information System Security, and it is basic foundation and the prerequisite of intermingle density research and enforcement.The Performance Evaluation of network comprises three aspects such as the choosing of evaluation index collection, concrete appraisal procedure and corresponding evaluating system.But current network measures of effectiveness faces problems, such as, many dynamic network environment, the influence factor of many reference amounts and the measurement criterion etc. of multi objective.First, network efficiency assesses the various factors be limited by network environment, and network presents many dynamic environment feature.Network has the features such as randomness highly, time variation and multi-hop, and the interactive interference simultaneously between multinode is also very serious.Secondly, network evaluation effect is decided by many dynamic environmental factors such as dynamic link length dynamic change, service distribution is uneven, link distribution is irregular.In addition, the Measure Indexes parameter of a network efficiency assessment comprises the impact etc. of network capacity restriction, the change of network information handling capacity, the estimation of network data losing probability, end-to-end delay, queue length, is concerned about the reconstitution time etc. of network in addition.
But current network measures of effectiveness exists from the individual usefulness of single angle estimator network, has serious one-sidedness and limitation etc., can not reflect entire system usefulness or colony's usefulness.Therefore, the assessment of network-oriented overall efficiency describes intermingle density effect from multidimensional angle, by being described the attribute of intermingle density effect various piece and the relation that connects each other thereof, thus accurately, all sidedly reflects network efficiency Evaluated effect.
In addition, due to the complicacy of network, there is many dynamic network environments, the challenge of the aspects such as the influence factor of many reference amounts and the measurement criterion of multi objective, therefore the assessment of network efficiency usually can not only choose single efficiency index, and be necessary that choosing multi-level, many-sided one group of efficiency index carries out, thus form an effectiveness factors system.Index system is by reflecting that one group of index of correlation of the many-sided attribute of evaluation object forms, and an index system often can only meet evaluation object characteristic in a certain respect, therefore will clearly to the object of evaluation object measures of effectiveness before setting up index system, and set up corresponding index system according to certain principle, so just may draw rational assessment result.The key problem of multi-objective synthetic evaluation determines assessment indicator system, index system whether science, rationally, be directly connected to the quality of assessment.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the invention provides a kind of index system construction method of network-oriented overall efficiency, choose efficiency index from multi-level, many-side to assess overall network usefulness, to efficiently solve in prior art for problems such as the one-sidedness in single performance index evaluation process and limitation, reflect entire system usefulness and colony's usefulness preferably.
To achieve these goals, the technical solution used in the present invention is: a kind of index system construction method of network-oriented overall efficiency, and it comprises the following steps:
Step S1, just intends key index set;
Step S2, refining is with layer index and calculate weight;
Step S3, calculates cross-layer index weights.
Preferred technical scheme, in described step S1, just plan key index set refers to and chooses crucial efficiency index, agriculture products collection.
Further preferred technical scheme, the described process just intending key index set is: participate in the scene of system evaluation having N number of expert, the pointer type that expert i provides is
Wherein,
n
ithe set of a multi objective,
refer to the weight of the index j that expert i provides, M^ represents pointer type number, and M represents maximum index quantity,
total index set that N number of expert forms this system is
N'={N
i,i=1,...,N}。
Further optimal technical scheme, in described step S2, refining refers to layer index and calculating weight and builds the weight factor of efficiency index relative to overall efficiency.
In described step S2, refining is with layer index with calculate the process of weight and be: participate in the scene of system evaluation having N number of expert, total index set of the system of the formation of N number of expert is according to claim 3 N'={N
i, i=1 ..., N}, solve public key index type and the weight of corresponding index, the pointer type wherein after refining is denoted as N
0, then
wherein
represent the pointer type N that N number of expert provides
i, i=1 ..., the common factor of N; The weight vectors of the key index after refining adopts the method for average to calculate, namely
wherein
represent that jth to be added into index set N after refining
0in the weight of Index element.
Calculate cross-layer index weights in described step S3 and refer to the overall efficiency valuation functions being formed and there is weighting weight.
The step of described calculating cross-layer index weights is: high level realizes index weights weighted calculation relative to its next-door neighbour's low layer; More high-risely realize index weights weighted calculation further at high level relatively, specific formula for calculation is
wherein
for the true weight of high-rise index,
for the weight that high level is determined based on expert system, λ
jthe amount relevant to determining the low layer index set of high-rise index,
The index system of a network-oriented overall efficiency assessment can be formed by the index system construction method setting up described a kind of network-oriented overall efficiency.
Adopt above technical scheme, its beneficial effect is: by just intending key index set, refining is with layer index and calculate weight, calculate cross-layer index weights three steps, provide a kind of index system construction method of network-oriented overall efficiency, it is chosen efficiency index from multi-level, many-side and assesses overall network usefulness, to efficiently solve in prior art for problems such as the one-sidedness in single performance index evaluation process and limitation, reflect entire system usefulness and colony's usefulness preferably; Consider the impact of bottom index for upper strata index when selecting key index with it and with layer index significance level, therefore, assessment is more accurate, more realistic network demand; Index set is reduced to key index greatly, simplifies economics analysis and the computing to concrete evaluation process, and real-time is stronger, and the assessment of overall network usefulness is more accurate.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the index system construction method of a kind of network-oriented overall efficiency of the present invention;
Fig. 2 is the index system of the network-oriented overall efficiency assessment of the index system construction method of a kind of network-oriented overall efficiency of the present invention
Embodiment
For making the object, technical solutions and advantages of the present invention clearly understand, below in conjunction with instantiation also with reference to accompanying drawing, the present invention is described in more detail.Should be appreciated that, these describe just exemplary, and do not really want to limit the scope of the invention.In addition, in the following description, the description to known features and technology is eliminated, to avoid unnecessarily obscuring concept of the present invention.See figures.1.and.2, detailed process of the present invention is:
Step 1, just intend key index set:
Participate in the scene of certain system evaluation for N number of expert, for the network specifically need assessed, multi-expert provides the weight of key index type and corresponding index.The pointer type that expert i provides is N
i, N here
ibe the set of a multi objective, comprise the weight of pointer type information and corresponding index.Such as, the weight providing key index type and corresponding index of expert i, forms table one.
The key index type of table one expert i and the weight signal table of corresponding index
As shown in Table 1, the key index type that provides of expert i is that the weight of four and corresponding index is followed successively by
with
wherein,
represent the weight of the index j that expert i provides, therefore,
m represents maximum index quantity.Meanwhile,
represent what expert i determined
the weight vectors of individual pointer type adds and is 1.Here
namely each expert selects at most M pointer type.N number of expert all provides the weight of above-mentioned key index type and corresponding index, and the total index set forming this system is N'={N
i, i=1 ..., N}.
Step 2, with the refining of layer index and weight calculation:
Total index set for this system of the formation of N number of expert is N'={N
i, i=1 ..., N}, solve public key index type and the weight of corresponding index, the pointer type wherein after refining is denoted as N
0, adopt
determine, wherein
represent the pointer type N that N number of expert provides
i, i=1 ..., the common factor of N.The weight vectors of the key index after refining adopts the method for average to calculate, namely
wherein
represent that jth to be added into index set N after refining
0in the weight of Index element.
The weight signal table of table two key index type and corresponding index
Get the method for refining of the pointer type of common factor in step 2 of the present invention, index that certain proportion expert approves jointly can be extended to simultaneously and namely be defined as index set N after refining
0in element.Such as, if the expert of 80% approves that this index is key index right, this index should be index set N after refining
0in element.
Such as, according to the key index type of above-mentioned steps after the refining of same layer index and weight, as table three.
Table three is with the key index type after layer index refining and weight signal table
Wherein,
Step 3, determine cross-layer index weights:
Adopt step 1 and step 2, same layer index system can be built.Often multi-factor system is related in the assessment of network-oriented overall efficiency.Such as, as the index system of Fig. 2 network-oriented overall efficiency assessment, there are three straton systems and form.First level comprises command & control ability, communication capacity, intelligence capabilities, electronic warfare capability and viability; Each performance index for the first level have again the second level index, and such as, the second level index of communication capacity comprises war communications ability, network reliability and system optimize.For each second level index, also there is third layer time index, the third layer that such as war communications ability comprises time index have region to pay ability, network management capabilities, the ability that interconnects, transfer rate, communications category, communication delay, message capacity and communication bit error rates etc.
The determination of the index set of any one level can be completed by above-mentioned steps 1 of the present invention and step 2.The refining process of every layer of index set is according to expert system, does not take into account the relation etc. between levels index set.The present invention proposes a kind of weighting cross-layer indexes weight design method based on low layer index quantity.Concrete implementation step is: high level realizes index weights weighted calculation relative to its next-door neighbour's low layer; More high-risely realize index weights weighted calculation further at high level relatively.Specific formula for calculation is
wherein
for the true weight of high-rise index,
for the weight that high level is determined based on expert system, λ
jbeing the amount relevant to determining the low layer index set of high-rise index, such as, it is considered herein that the quantity of the bottom index determining a high-rise jth index is more, the weight of this index should be larger, role can be larger in the evaluation process of network-oriented overall efficiency for this index, therefore
Through the index system construction method of a kind of network-oriented overall efficiency that the present invention proposes, the index system of a network-oriented overall efficiency assessment can be formed, as shown in Figure 2.
Should be understood that, above-mentioned embodiment of the present invention only for exemplary illustration or explain principle of the present invention, and is not construed as limiting the invention.Therefore, any amendment made when not departing from thought of the present invention and scope, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.In addition, claims of the present invention be intended to contain fall into claims scope and border or this scope and border equivalents in whole change and amendment.
Claims (7)
1. an index system construction method for network-oriented overall efficiency, is characterized in that, it comprises the following steps:
Step S1, just intends key index set;
Step S2, refining is with layer index and calculate weight;
Step S3, calculates cross-layer index weights.
2. the index system construction method of a kind of network-oriented overall efficiency according to claim 1, is characterized in that, in described step S1, just plan key index set refers to and chooses crucial efficiency index, and agriculture products collection.
3. the index system construction method of a kind of network-oriented overall efficiency according to claim 2, it is characterized in that, the process just intending key index set in described step S1 is: participate in the scene of system evaluation having N number of expert, the pointer type that expert i provides is:
Wherein,
n
ithe set of a multi objective,
refer to the weight of the index j that expert i provides,
represent pointer type number, M represents maximum index quantity,
total index set that N number of expert forms this system is N'={N
i, i=1 ..., N}.
4. the index system construction method of a kind of network-oriented overall efficiency according to claim 3, is characterized in that, in described step S2, refining refers to layer index and calculating weight and builds the weight factor of efficiency index relative to overall efficiency.
5. the index system construction method of a kind of network-oriented overall efficiency according to claim 4, it is characterized in that, in described step S2, refining is with layer index with calculate the process of weight and be: participate in the scene of system evaluation having N number of expert, and total index set of the system formed according to described N number of expert is N'={N
i, i=1 ..., N}, solve public key index type and the weight of corresponding index, the pointer type wherein after refining is denoted as N
0, then
wherein
represent the pointer type N that N number of expert provides
i, i=1 ..., the common factor of N; The weight vectors of the key index after refining adopts the method for average to calculate, namely
wherein
represent that jth to be added into index set N after refining
0in the weight of Index element.
6. the index system construction method of a kind of network-oriented overall efficiency according to claim 5, is characterized in that, calculates cross-layer index weights and refer to the overall efficiency valuation functions being formed and have weighting weight in described step S3.
7. the index system construction method of a kind of network-oriented overall efficiency according to claim 6, it is characterized in that, the step calculating cross-layer index weights in described step S3 is: high-rise realize index weights weighted calculation relative to its next-door neighbour's low layer, more high-risely realizes index weights weighted calculation further at high level relatively; Its specific formula for calculation is
wherein
for the true weight of high-rise index,
for the weight that high level is determined based on expert system, λ
jthe amount relevant to determining the low layer index set of high-rise index,
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510038846.9A CN104598739B (en) | 2015-01-26 | 2015-01-26 | A kind of index system construction method of network-oriented overall efficiency |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510038846.9A CN104598739B (en) | 2015-01-26 | 2015-01-26 | A kind of index system construction method of network-oriented overall efficiency |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104598739A true CN104598739A (en) | 2015-05-06 |
CN104598739B CN104598739B (en) | 2018-05-01 |
Family
ID=53124518
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510038846.9A Active CN104598739B (en) | 2015-01-26 | 2015-01-26 | A kind of index system construction method of network-oriented overall efficiency |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104598739B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104965959A (en) * | 2015-07-23 | 2015-10-07 | 北京联合大学 | Assessment method for anti-electromagnetic interference performance of wireless communication system |
CN108115941A (en) * | 2018-02-05 | 2018-06-05 | 广东水利电力职业技术学院(广东省水利电力技工学校) | A kind of 3D printer system |
CN108173682A (en) * | 2017-12-25 | 2018-06-15 | 北华大学 | A kind of intelligent industrial control instrument suitable for integrated signal management |
CN108742566A (en) * | 2018-04-16 | 2018-11-06 | 北京京大律业知识产权代理有限公司 | A kind of risk of cardiovascular diseases control method based on big data |
CN109376980A (en) * | 2018-08-29 | 2019-02-22 | 上海机电工程研究所 | The Performance Evaluation index system construction method and system of three-dimensional time-varying |
CN110119513A (en) * | 2018-12-19 | 2019-08-13 | 吉林化工学院 | A kind of long-range Japanese Teaching interactive system and exchange method based on big data analysis |
CN112580944A (en) * | 2020-12-07 | 2021-03-30 | 安徽四创电子股份有限公司 | Evaluation method for urban public safety video monitoring system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101516093A (en) * | 2009-01-23 | 2009-08-26 | 北京邮电大学 | Method and device for judging comprehensive priority of mobile communication system |
CN102004962A (en) * | 2010-12-01 | 2011-04-06 | 福州维胜信息技术有限公司 | Method for realizing intelligent collation on personal comprehensive performance for appraisal |
CN102073935A (en) * | 2010-12-29 | 2011-05-25 | 北京理工大学 | Universal comprehensive evaluation system and method for customizing evaluation index system thereof |
CN102098686A (en) * | 2011-01-17 | 2011-06-15 | 中国移动通信集团山西有限公司 | 'Three-layer and one-experience' evaluation model for mobile communication network optimization |
CN103441956A (en) * | 2013-08-29 | 2013-12-11 | 西安电子科技大学 | Cognitive network resource management method based on resource space vector calculation |
CN103942720A (en) * | 2013-01-18 | 2014-07-23 | 中国科学院城市环境研究所 | Ecological index efficiency evaluation method based on network analysis |
-
2015
- 2015-01-26 CN CN201510038846.9A patent/CN104598739B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101516093A (en) * | 2009-01-23 | 2009-08-26 | 北京邮电大学 | Method and device for judging comprehensive priority of mobile communication system |
CN102004962A (en) * | 2010-12-01 | 2011-04-06 | 福州维胜信息技术有限公司 | Method for realizing intelligent collation on personal comprehensive performance for appraisal |
CN102073935A (en) * | 2010-12-29 | 2011-05-25 | 北京理工大学 | Universal comprehensive evaluation system and method for customizing evaluation index system thereof |
CN102098686A (en) * | 2011-01-17 | 2011-06-15 | 中国移动通信集团山西有限公司 | 'Three-layer and one-experience' evaluation model for mobile communication network optimization |
CN103942720A (en) * | 2013-01-18 | 2014-07-23 | 中国科学院城市环境研究所 | Ecological index efficiency evaluation method based on network analysis |
CN103441956A (en) * | 2013-08-29 | 2013-12-11 | 西安电子科技大学 | Cognitive network resource management method based on resource space vector calculation |
Non-Patent Citations (4)
Title |
---|
MIN SHENG等: "utility-based resource allocation for multi-channel decentralized networks", 《IEEE TRANSACTIONS ON COMMUNICATIONS》 * |
曾磊等: "我国城乡关联度评价指标体系构建及区域比较分析", 《地理研究》 * |
李希民等: "数字化部队武器装备系统整体性能试验评估指标体系构建方法研究", 《装备指挥技术学院学报》 * |
邱均平等: "期刊评价指标体系及定量方法研究", 《现代图书情书技术》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104965959A (en) * | 2015-07-23 | 2015-10-07 | 北京联合大学 | Assessment method for anti-electromagnetic interference performance of wireless communication system |
CN108173682A (en) * | 2017-12-25 | 2018-06-15 | 北华大学 | A kind of intelligent industrial control instrument suitable for integrated signal management |
CN108115941A (en) * | 2018-02-05 | 2018-06-05 | 广东水利电力职业技术学院(广东省水利电力技工学校) | A kind of 3D printer system |
CN108742566A (en) * | 2018-04-16 | 2018-11-06 | 北京京大律业知识产权代理有限公司 | A kind of risk of cardiovascular diseases control method based on big data |
CN109376980A (en) * | 2018-08-29 | 2019-02-22 | 上海机电工程研究所 | The Performance Evaluation index system construction method and system of three-dimensional time-varying |
CN109376980B (en) * | 2018-08-29 | 2021-07-30 | 上海机电工程研究所 | Three-dimensional time-varying performance evaluation index system construction method and system |
CN110119513A (en) * | 2018-12-19 | 2019-08-13 | 吉林化工学院 | A kind of long-range Japanese Teaching interactive system and exchange method based on big data analysis |
CN112580944A (en) * | 2020-12-07 | 2021-03-30 | 安徽四创电子股份有限公司 | Evaluation method for urban public safety video monitoring system |
Also Published As
Publication number | Publication date |
---|---|
CN104598739B (en) | 2018-05-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104598739A (en) | Index system constructing method for overall efficiency of network | |
CN111866954B (en) | User selection and resource allocation method based on federal learning | |
CN102802158A (en) | Method for detecting network anomaly of wireless sensor based on trust evaluation | |
CN105631360B (en) | Private data aggregating method based on multidimensional decomposition in sensor network | |
CN102075352A (en) | Method and device for predicting network user behavior | |
CN103455842B (en) | Credibility measuring method combining Bayesian algorithm and MapReduce | |
CN102752784B (en) | Detection method of distribution type event domain based on graph theory in wireless sensor network | |
Zhou et al. | Sensor deployment scheme based on social spider optimization algorithm for wireless sensor networks | |
CN105163326A (en) | Cell clustering method and system based on wireless network traffic features | |
CN105933316B (en) | The determination method and apparatus of network security level | |
CN107332889A (en) | A kind of high in the clouds information management control system and control method based on cloud computing | |
CN107454105A (en) | A kind of multidimensional network safety evaluation method based on AHP and grey correlation | |
CN104618908B (en) | The method and apparatus that distributed cognition wireless network is attacked anti-distort perception data | |
CN112001415A (en) | Location difference privacy protection method based on countermeasure network | |
CN106506231A (en) | The charge network key node recognition methodss in structure-oriented hole | |
CN108881250A (en) | Powerline network security postures prediction technique, device, equipment and storage medium | |
CN109548029A (en) | A kind of two-stage method for trust evaluation of nodes of Wireless Sensor Networks | |
CN106713233A (en) | Method for judging and protecting network security state | |
CN106209457A (en) | Tackle method for secret protection and the system of bypass attack in smart home environment | |
CN107563220A (en) | A kind of computer based big data analysis and Control system and control method | |
Pradhan et al. | Cooperative spectrum sensing in cognitive radio network using multiobjective evolutionary algorithms and fuzzy decision making | |
CN109474461B (en) | Wireless sensor network trust management method and system based on credit poisson distribution | |
Du et al. | An edge-computing-enabled trust mechanism for underwater acoustic sensor networks | |
CN103916859A (en) | Detection method for cognizing users maliciously occupying channels in wireless network | |
Jiang et al. | Controversy-adjudication-based trust management mechanism in the internet of underwater things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |