CN103957062B - The method of cognitive user credit worthiness is assessed in distributed cognition radio network - Google Patents
The method of cognitive user credit worthiness is assessed in distributed cognition radio network Download PDFInfo
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Abstract
The present invention discloses a kind of method assessing cognitive user credit worthiness in distributed cognition radio network, mainly solves in distributed cognition radio network trust evaluation problem when lacking central control equipment.Performing step of the present invention is: initialization, select initial credit assessment user group, screening credit assessment user group, judge to remain whether credit assessment number of users is less than 2, reselects credit assessment user group, the cooperation prestige of assessment cognitive user, Resourse Distribute, the communication prestige of assessment cognitive user, the assessment credit value determining credit assessment user, credit value renewal.The present invention can carry out Efficient Evaluation to the network behavior prestige of cognitive user in distributed cognition radio network, solve the assessment to the credit value of cognitive user, calculating and renewal relatively efficiently, judge the prestige state of cognitive user, ensure trust evaluation fairness, improve network efficiency, internet security and network robustness.
Description
Technical field
The invention belongs to communication technical field, further relate to the method assessing cognitive user credit worthiness in the distributed cognition radio network in cognitive radio networks technical field.The present invention can solve in distributed cognition radio network calculate without credit value in data fusion center situation, the fusion of perception data and the problem of spectrum allocation may, make distributed cognition radio network run more efficient, fair, safety and stalwartness.
Background technology
Lack central control equipment in distributed cognition wireless network, therefore each cognitive user needs the double liability bearing cognitive user and center type cognition wireless network center base station.Cognitive user has needed all operations of cognitive circulation, and due to single cognitive user power limitations, this just needs to have worked in coordination with information fusion and decision-making between cognitive user, thus cognitive circulation can be carried out smoothly.The disappearance of central control equipment brings as Control on Communication dispersion, and the Coordination Decision without policymaker is difficult to solve, and the fairness between node, reliability, lack the trusted third party carrying out credit value calculating, the problem such as nobody calculating of credit value in faith mechanism.Therefore, in order to solve the confidence level of distributed cognition radio network cognitive user, Trust Management Mechanism reasonable in design is needed.
The patent application " the cognitive radio networks layering cooperation frequency spectrum sensing method based on credit worthiness " (application number CN201310061675.2, publication No. CN103178910A) that Zhejiang University proposes discloses a kind of cognitive radio networks layering cooperation frequency spectrum sensing method based on credit worthiness.Concrete steps are: carry out sub-clustering to sensing node, and node carries out local perception, and bunch head is entered a judgement based on a bunch interior nodes perception data, and fusion center is entered a judgement according to the court verdict of each bunch of head and credit worthiness, upgrade each bunch of head credit worthiness.This invention is by credit worthiness mechanism and adopt the network hierarchy cooperative sensing of clustering algorithm to combine, the impact bunch on system senses performance that degree of lowering credit is low, cognitive radio networks significantly can be reduced deeply decline user and by the harmful effect of attacking user and causing system, can effectively reduce system communication expense again simultaneously.The weak point that the method exists is: although the method considers credit worthiness in cooperative spectrum sensing in cognitive radio networks, measures of reputation method is not described in detail, does not form complete credit management method; The frequency spectrum sensing method of the method application is only applicable to the hierarchical network adopting clustering algorithm, cannot be suitable in distributed cognition radio network.In distributed cognition radio network, lack hub facility, the method efficiently cannot complete frequency spectrum perception; In addition, the method does not introduce any supervision mechanism yet, cannot ensure fairness and the robustness of measures of reputation and frequency spectrum perception when network suffers malicious attack.
S.Parvinetal. the method for evaluating trust of the Behavior-based control under a kind of center type cognitive radio networks framework is proposed in the article " TowardsTrustEstablishmentforSpectrumselectioninCognitive RadioNetworks " delivered on 201024thIEEEInternationalConferenceonAdvancedInformation NetworkingandApplications, consider the relation of directly trusting and indirectly trusting in this model, the bad behavior of cognitive user in cognitive radio networks can be detected easily.Its trust management appraisal procedure is as follows: 1, cognitive user perception idle frequency spectrum information perception information is sent to cognitive user base station; 2, cognitive user base station acquisition direct trust value and indirect trust values are also integrated and are obtained comprehensive trust value; 3, frequency spectrum decision-making is made according to trust value.The weak point that the method exists is: first, and the credit value calculating of the method, the fusion of perception data and spectrum allocation may all need to complete based on cognitive user base station, inapplicable in distributed cognition radio network; Secondly, the method is not fully in conjunction with the feature of cognition wireless network, and the factor of trust metrics is too single, do not consider the network behavior feature of the cognitive user in the ad hoc network situation in cognitive radio networks; Again, the method only considered the trust Generating Problems in trust management, and the problem such as concrete trust metrics and renewal does not relate to, and trust management framework is relatively more rough, does not set forth whole trusting relationship according to the thought of cognition circulation.
Summary of the invention
The present invention is directed to above-mentioned the deficiencies in the prior art, a kind of method assessing cognitive user credit worthiness in distributed cognition radio network is proposed, complete in distributed cognition radio network without data fusion center, without under policymaker when, for the accurately fair calculating carrying out credit value of cognitive user, the fusion completing perception data, final reference trust value carry out fair allocat to frequency spectrum, fairness that cognitive radio networks runs, fail safe and robustness can be ensured.
To achieve these goals, the present invention includes following steps:
(1) initialization:
(1a) all empty the data record in the database of cognitive user, to cognitive user each in radio net, set unique identify label according to natural number order, by the identify label of cognitive user stored in the network parametric data record of cognitive user;
(1b) the initial cooperation credit value of all cognitive user in the record of the database of cognitive user and initial communication credit value are set to 0.5, initial assessment credit value is set to 0, and initial total credit value is set to 0.5;
(1c) cognitive user number in radio net is recorded to recognizes in the network parametric data record of cognitive user, complete radio net initialization;
(1d) to asking the new cognitive user adding network to carry out initialization.
(2) initial credit assessment user group is selected:
(2a) judge whether the data record that credit assessment user organizes is empty, if it is empty, performs step (2b), otherwise, perform step (3);
(2b) in [0.2,0.5] scope an optional arithmetic number as selection percentage;
(2c) cognitive user number in radio net is rounded after being multiplied with selection percentage, obtain the number of users of credit assessment user group;
(2d) selective factor B of credit assessment user group according to the following formula, is calculated:
Wherein, m represents that the selective factor B that credit assessment user organizes, N represent cognitive user number in radio net, and J represents the number of users that credit assessment user organizes,
represent downward floor operation;
(2e) from the database of cognitive user, select the cognitive user meeting following formula identify label condition, the credit assessment user charging to cognitive user organizes in data record:
Imodm＝1
Wherein, I represents the identify label of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation;
(2f) the credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group.
(3) credit assessment user group is screened:
(3a) check that credit assessment user organizes the credit value of all credit assessment users in data record successively, if total credit value of credit assessment user is less than 0.5, or the assessment credit value of credit assessment user is less than 0, then this credit assessment user is organized data record from credit assessment user and delete;
(3b) check that all credit assessment users that credit assessment user organizes in data record participate in credit assessment number of times continuously successively, if credit assessment user participates in credit assessment continuously more than 5 times, this credit assessment user is organized data record from credit assessment user and deletes.
(4) judge whether the residue credit assessment number of users that credit assessment user organizes in data record is less than 2, if be less than 2, perform step (5), otherwise, perform step (6).
(5) credit assessment user group is reselected:
(5a) current credit assessment user organizes a random issue positive integer, using this positive integer as the initial application number of cognitive user;
(5b) wish that the cognitive user adding credit assessment user group sends application information;
(5c) check whether the credit value sending the cognitive user of application information meets application condition, with initial application number for starting point, with 1 for increasing progressively, to qualified cognitive user, set an application number successively, the application number of cognitive user is recorded in the data record of credit assessment user group;
(5d) selective factor B of credit assessment user group according to the following formula, is calculated:
Wherein, m represents the selective factor B that credit assessment user organizes, N
1represent the cognitive user number in the data record of credit assessment user group, J represents the number of users of the credit assessment user group described in step (2c),
represent downward floor operation;
(5e) from the data record of credit assessment user group, the cognitive user of discontented foot formula application numbers condition is deleted:
Amodm＝1
Wherein, A represents the application number of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation;
(5f) the credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group.
(6) the cooperation prestige of cognitive user is assessed:
(6a) cognitive user carries out local frequency spectrum perception;
(6b) cognitive user is by local frequency spectrum perception information reporting to credit assessment user group, and the row vector element value of frequency spectrum perception information is 0 and 1, and the number of the element of row vector is the frequency spectrum number of perception;
(6c) the frequency spectrum perception information of credit assessment user group to cognitive user carries out perception information fusion, obtains final frequency spectrum perception information;
(6d) credit assessment user group is by final frequency spectrum perception information broadcasting to the cognitive user in radio net, and final frequency spectrum perception information is recorded in the perception information data record of cognitive user by cognitive user;
(6e) credit assessment user adjudicates with whether the frequency spectrum perception information of cognitive user is identical final frequency spectrum perception information, if identical, then cognitive user frequency spectrum perception is correct, otherwise, cognitive user frequency spectrum perception mistake;
(6f) credit assessment user assesses the cooperation scoring of cognitive user, if cognitive user reports perception information, and cognitive user frequency spectrum perception is correct, then the cooperation scoring of cognitive user is 1; If cognitive user reports perception information, but cognitive user frequency spectrum perception mistake, then the cooperation scoring of cognitive user is 0.5; If cognitive user does not report perception information, then the cooperation scoring of cognitive user is 0.
(7) Resourse Distribute:
(7a) cognitive user sends and comprises the frequency spectrum solicited message of cognitive user to the bid of asked frequency spectrum;
(7b) according to the following formula, credit assessment user organizes the frequency spectrum competitiveness calculating and send the cognitive user of frequency spectrum solicited message, the frequency spectrum competitiveness of cognitive user is recorded in the frequency spectrum request msg record of cognitive user:
CP＝T*B
Wherein, CP represents the frequency spectrum competitiveness of cognitive user, and T is the total credit value of cognitive user, B by cognitive user to the bid of request frequency spectrum;
(7c) credit assessment user group by the frequency spectrum competitiveness of cognitive user according to sorting from big to small;
(7d) credit assessment user group is by from the frequency spectrum perception data record of cognitive user, the final frequency spectrum perception information read is the frequency spectrum of 0, be recorded as idle frequency spectrum list, the frequency spectrum in idle frequency spectrum list distributed to successively the descending cognitive user of competitiveness;
(7e) credit assessment user organizes and announces spectrum allocation may result.
(8) the communication prestige of cognitive user is assessed:
(8a) cognitive user carries out data communication according to spectrum allocation may result;
(8b) credit assessment user awareness monitors the communication behavior of each cognitive user, determines to mark to the communication of cognitive user according to communication quality judgment criteria.
(9) the assessment credit value of credit assessment user is determined:
(9a) credit assessment user by described in step (6f) to cognitive user cooperation scoring with described in step (8b), signature operation is carried out to communicate two scorings of marking of cognitive user;
(9b) scoring of the cooperation to cognitive user after credit assessment user intercourses signature and the scoring that communicates;
(9c) according to scoring fusion method, respectively credit assessment user is merged with the scoring that communicates the cooperation scoring of cognitive user, obtain the cooperation general comment of cognitive user and the general comment that communicates;
(9d) scoring of credit assessment user is adjudicated, if the cooperation scoring of credit assessment user to cognitive user is all less than 0.1 with the cooperation general comment of cognitive user with the difference of the general comment that communicates respectively with the scoring that communicates, then the assessment of credit assessment user is fair, otherwise the assessment of credit assessment user is unfair;
(9e) according to assessment credit value evaluation method, the assessment credit value of credit assessment user is determined.
(10) credit value upgrades:
(10a) credit assessment user group is according to credit value update method, obtains the reputation data after upgrading, and the trust data after renewal comprises the cooperation credit value of cognitive user, communication credit value and total credit value;
(10b) credit assessment user group is by the reputation data after renewal, is broadcast to all cognitive user of cognitive radio;
(10c) cognitive user is by the reputation data after renewal, is recorded in the trust data record of cognitive user.
The present invention compared with prior art has the following advantages:
First, because the present invention adopts credit assessment user group to carry out trust management to distributed cognition radio network, overcome in prior art not fully in conjunction with the feature of distributed cognition wireless network, need to rely on cognitive user base station to carry out the deficiency of measures of reputation, the present invention is made not need to rely on trusted third party, just can solve the assessment of the credit value to cognitive user, calculating and renewal more efficiently, judge the prestige state of cognitive user.
Second, adopt assessment cooperation credit value prestige, assessment communication credit value due to the present invention and determine to assess credit value, the method that refinement to change real-time prestige the trust metrics stage, overcome in prior art the deficiency not considering trust initialization, in real time trust evaluation and trust update, make the feasibility that invention increases cognitive radio networks trust evaluation.
3rd, adopt trust metrics to assess due to the present invention and supervise two aspects combinations and carry out trust metrics, overcome in prior art the deficiency that cannot ensure correctly to carry out measures of reputation and frequency spectrum perception when network suffers malicious attack, make the fail safe and the robustness that invention increases trust evaluation.
4th, because the present invention adopts cooperation credit value prestige, communication credit value and the multiple trust evaluation measure coefficient of assessment credit value, measure coefficient variation, overcomes the deficiency that in prior art, the trust metrics factor is single, makes the fairness that invention increases trust evaluation.
5th, because the present invention adopts complete credit assessment user group selection scheme and the Evaluation and calculation method of cognitive user credit value, form a rounded system flow process, overcome in prior art the deficiency not forming complete method for evaluating trust, make the present invention more intuitively and accurately embody the prestige state of a cognitive user.
Accompanying drawing explanation
Fig. 1 is flow chart of the present invention.
Concrete implementing measure
Below in conjunction with accompanying drawing 1, concrete steps of the present invention are described further.
Step 1, initialization.
During radio net initialization, data record in the database of cognitive user is all emptied, comprises data record five kinds of data record of the network parametric data record of cognitive user, the trust data record of cognitive user, the perception data record of cognitive user, the frequency spectrum request msg record of cognitive user and credit assessment user group.
Unique identify label is set to cognitive user each in radio net, by the identify label of cognitive user stored in the network parametric data record of cognitive user.
The initial cooperation credit value of all cognitive user in the trust data record of cognitive user and initial communication credit value are set to 0.5, and initial assessment credit value is set to 0, and initial total credit value is set to 0.5.Cognitive user number in radio net is recorded in the network parametric data record of cognitive user, completes radio net initialization.
When there being new cognitive user request to add cognitive radio networks, initialization is carried out to new cognitive user: credit assessment user group is by the new cognitive user of credit value information notification of other users in current radio network.Empty the data in the trust data storehouse of new cognitive user, the credit value information of other cognitive user in current radio network and cognitive user number are stored into database.
Cognitive user number in radio net in the network parametric data record of institute's cognitive user is added 1.In the trust data storehouse of all cognitive user, for new cognitive user creates a prestige record.
By the behavior credit value of new cognitive user, cooperation credit value and total credit value, be all set to the mean value of all users in current radio network, assessment credit value is set to 0, complete new cognitive user initialization.
Step 2, selects initial credit assessment user group.
If the data record of credit assessment user group is empty, carry out following steps; Otherwise, go to step 3 execution.
In [0.2,0.5] scope, an optional arithmetic number is as selection percentage, and selection percentage can dynamically set, and is rounded by cognitive user number in radio net with selection percentage after being multiplied, and obtains the number of users of credit assessment user group.
According to the following formula, the selective factor B of assessment user group is calculated:
Wherein, m represents that the selective factor B that credit assessment user organizes, N represent cognitive user number in radio net, and J represents the number of users that credit assessment user organizes,
represent downward floor operation.
From the database of cognitive user, the credit assessment user selecting the cognitive user meeting following formula identify label condition to charge to cognitive user organizes in data record:
Imodm＝1
Wherein, I represents the identify label of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation.
The credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group.
Step 3, screening credit assessment user group.
Check that credit assessment user organizes the credit value of all credit assessment users in data record successively, if total credit value of credit assessment user is less than 0.5, or the assessment credit value of credit assessment user is less than 0, then for ensureing the fail safe of trust evaluation, this cognitive user has no longer met the condition of credit assessment user group, this credit assessment user is organized data record from credit assessment user and deletes.
Check that all credit assessment users that credit assessment user organizes in data record participate in credit assessment number of times continuously successively, if credit assessment user participates in credit assessment continuously more than 5 times, then for ensureing the fairness of trust evaluation, this user can not continue, continuously as credit assessment user, this credit assessment user to be organized data record from credit assessment user and delete.
Step 4, judges whether the residue credit assessment number of users that credit assessment user organizes in data record is less than 2, if residue credit assessment number of users is less than 2, performs step 5, reselects credit assessment user group, otherwise, perform step 6.
Step 5, reselects credit assessment user group.
Current credit assessment user organizes a random issue positive integer, using this positive integer as the initial application number of cognitive user.Wish that the cognitive user adding credit assessment user group sends application information.
Credit assessment user organizes and checks whether the credit value sending the cognitive user of application information meets application condition, the credit value that application condition comprises cognitive user needs to be greater than 0.5, cognitive user at least participated in a frequency spectrum perception or data communication behavior, and the dump energy of cognitive user has been greater than the energy at least one times needed for trust evaluation.Then, with initial application number for starting point, with 1 for increasing progressively, to qualified cognitive user, setting an application number successively, the application number of cognitive user being recorded in the data record of credit assessment user group.
According to the following formula, the selective factor B of credit assessment user group is calculated:
Wherein, m represents the selective factor B that credit assessment user organizes, N
1represent the cognitive user number in the data record of credit assessment user group, J represents the number of users of the credit assessment user group described in step (2c),
represent downward floor operation.
From the data record of credit assessment user group, select the cognitive user meeting following formula application numbers condition, the user do not satisfied condition deleted:
Amodm＝1
Wherein, A represents the application number of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation.
The credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group.The fairness selected can be ensured in order to upper method choice credit assessment user.
Step 6, the cooperation prestige of assessment cognitive user.
Cognitive user carries out local signal detection, and by local frequency spectrum perception information reporting to credit assessment user group, the row vector element value of frequency spectrum perception information is 0 and 1, and the number of the element of row vector is the frequency spectrum number of perception.
The row vector of frequency spectrum perception information is arranged in order, obtains the matrix that a line number equals to report the cognitive user number of frequency spectrum perception information after receiving the frequency spectrum perception information that cognitive user reports by credit assessment user group from top to bottom.Credit assessment user organizes the number of times that in each column vector of comparator matrix, vector element 0 and 1 occurs, vector elements many for occurrence number in each column vector is transversely arranged successively, obtains a row vector, using this row vector as final frequency spectrum perception information.
Credit assessment user group is by final frequency spectrum perception information broadcasting to the cognitive user in radio net, and final frequency spectrum perception information is recorded into the perception information data record of cognitive user by cognitive user.
The frequency spectrum perception information of credit assessment user to cognitive user is adjudicated: if final frequency spectrum perception information is identical with the frequency spectrum perception information of cognitive user, then cognitive user frequency spectrum perception is correct, otherwise, cognitive user frequency spectrum perception mistake.
Credit assessment user determines to mark to the cooperation of cognitive user: if cognitive user reports perception information, and frequency spectrum perception is correct, then the cooperation scoring of cognitive user is 1; If cognitive user reports perception information, but frequency spectrum perception mistake, then the cooperation scoring of cognitive user is 0.5; If cognitive user does not report perception information, then the cooperation scoring of cognitive user is 0.
Step 7, Resourse Distribute.
Credit assessment user group sends frequency spectrum solicited message to need the cognitive user of carrying out frequency spectrum use to think, solicited message comprises the bid of cognitive user to asked frequency spectrum.After credit assessment user group receives the solicited message of cognitive user, according to the following formula, calculate the frequency spectrum competitiveness sending the cognitive user of frequency spectrum solicited message, the frequency spectrum competitiveness of cognitive user be recorded in the frequency spectrum request msg record of cognitive user:
CP＝T*B
Wherein, CP represents the frequency spectrum competitiveness of cognitive user, and T is the total credit value of cognitive user, and B is the bid of cognitive user to frequency spectrum.
Credit assessment user group is by from the frequency spectrum perception data record of cognitive user, the final frequency spectrum perception information read is the frequency spectrum of 0, be recorded as idle frequency spectrum list, the frequency spectrum competitiveness of cognitive user is sorted from big to small, the frequency spectrum in idle frequency spectrum list is distributed to successively the descending cognitive user of competitiveness.
After spectrum allocation may completes, credit assessment user organizes and announces spectrum allocation may result.
Step 8, the communication prestige of assessment cognitive user.
Be assigned to the cognitive user of frequency spectrum at the enterprising row data communication of assigned frequency spectrum, cognitive user is carried out in the process of data communication, credit assessment user awareness monitors the communication behavior of each cognitive user, assessment is marked to the communication of cognitive user: if the behavior taking frequency spectrum or interfere with primary users communication does not by force appear in cognitive user, then the communication scoring of cognitive user is 1; If the behavior of interfere with primary users appears in cognitive user, then the communication scoring of cognitive user is 0.5; If the behavior taking frequency spectrum by force appears in cognitive user, then the communication scoring of cognitive user is 0.
Step 9, determines the assessment credit value of credit assessment user.
Credit assessment user will to communicate with to cognitive user to cognitive user cooperation scoring and mark after two scorings carry out signature operation, intercourse the scoring of the cooperation to cognitive user after signature and the scoring that communicates, signature ensure that the non-repudiation of credit assessment user to the scoring of cognitive user.
According to the following formula, calculate credit assessment user to the weight factor of the scoring of cognitive user, weight factor is relevant to the assessment credit value of credit assessment user:
Wherein, ω
jrepresent identify label be the credit assessment user of j to the weight factor of the scoring of cognitive user,
represent that identify label is the assessment credit value of the credit assessment user of j, j represents the identify label of credit assessment user, and J represents the identify label collection of the credit assessment user that credit assessment user organizes, and Σ represents sum operation.
According to the following formula, merge the cooperation scoring of cognitive user, obtain the cooperation general comment of cognitive user:
Wherein, Q
1represent the cooperation general comment of cognitive user, j represents the identify label of credit assessment user, and J represents the identify label collection of the assessment user that credit assessment user organizes,
expression identify label is that the credit assessment user of j marks to the cooperation of cognitive user, ω
jrepresent that identify label is that the credit assessment user of j is to the weight factor of the scoring of cognitive user.
According to the following formula, merge the communication scoring of cognitive user, obtain the communication general comment of cognitive user:
Wherein, Q
2represent the communication general comment of cognitive user, j represents the identify label of cognitive user, and J represents the identify label collection of the credit assessment user that credit assessment user organizes,
expression identify label is that the credit assessment user of j marks to the communication of cognitive user, and ω represents the weight factor of credit assessment user to the scoring of cognitive user, ω
jrepresent that identify label is that the credit assessment user of j is to the weight factor of the scoring of cognitive user.
Obtain the cooperation general comment of cognitive user with after the general comment that communicates, the scoring of credit assessment user group to credit assessment user is adjudicated: if the cooperation scoring of credit assessment user to cognitive user is all less than 0.1 with the cooperation general comment of cognitive user with the difference of the general comment that communicates respectively with the scoring that communicates, then the assessment of credit assessment user is fair, otherwise the assessment of credit assessment user is unfair.
Situation is passed judgment in scoring according to credit assessment user, determines the assessment credit value of credit assessment user.If credit assessment user completes credit assessment and assessment is fair, then the assessment credit value of credit assessment user improves 0.1; If credit assessment user completes credit assessment but assessment is unfair, then the assessment credit value of credit assessment user reduces by 0.2; If credit assessment user does not complete credit assessment, then the assessment credit value of credit assessment user reduces by 0.1.
Because assessment credit value is for being not less than 0, is not more than the real number of 1, needs to adjudicate the assessment credit value of credit assessment user and revise.If the assessment credit value of credit assessment user is less than 0, then the assessment credit value of credit assessment user is modified to 0; If the assessment credit value of credit assessment user is greater than 1, then the assessment credit value of credit assessment user is modified to 1.
Step 10, credit value upgrades.
According to the following formula, the cooperation credit value after the renewal of cognitive user is calculated:
T
1＝H
1×γ+Q
1×(1-γ)
Wherein, T
1represent the cooperation credit value after the renewal of cognitive user, H
1for the cooperation credit value before the renewal of cognitive user, γ represents that the time trusts modifying factor, and its value is between being the real number between 0 and 1, Q
1represent the cooperation general comment of cognitive user.
According to the following formula, the communication credit value after the renewal of cognitive user is calculated:
T
2＝H
2×γ+Q
2×(1-γ)
Wherein, T
2represent the communication credit value after the renewal of cognitive user, H
2for the communication credit value before the renewal of cognitive user, γ represents that the time trusts modifying factor, and its value is between being the real number between 0 and 1, Q
2represent the communication general comment of cognitive user.
According to the following formula, the total credit value after the renewal of cognitive user is calculated:
T＝T
1×α+T
2×β+T
3×(1-α-β)
Wherein, T represents the total credit value after the renewal of cognitive user, T
1represent the cooperation credit value after the renewal of cognitive user, T
2represent the communication credit value after the renewal of cognitive user, T
3represent the assessment credit value of cognitive user, α and β represents the trust weight factor, and the value of α and β is between being the real number between 0 and 1, and meets alpha+beta < 1.
Trust data after renewal comprises the cooperation credit value of cognitive user, communication credit value and total credit value.After obtaining the reputation data after upgrading, reputation data after renewal is broadcast to all cognitive user of cognitive radio by credit assessment user group, reputation data after renewal is recorded into the trust data record of cognitive user by cognitive user, complete credit value to upgrade, complete the assessment to cognitive user credit value in distributed cognition radio network.
Claims (8)
1. assess a method for cognitive user credit worthiness in distributed cognition radio network, comprise the steps:
(1) initialization:
(1a) all empty the data record in the database of cognitive user, to cognitive user each in radio net, set unique identify label according to natural number order, by the identify label of cognitive user stored in the network parametric data record of cognitive user;
(1b) the initial cooperation credit value of all cognitive user in the trust data record of cognitive user and initial communication credit value are set to 0.5, initial assessment credit value is set to 0, and initial total credit value is set to 0.5;
(1c) cognitive user number in radio net is recorded in the network parametric data record of cognitive user, completes radio net initialization;
(1d) to asking the new cognitive user adding network to carry out initialization;
(2) initial credit assessment user group is selected:
(2a) judge whether the data record that credit assessment user organizes is empty, if it is empty, performs step (2b), otherwise, perform step (3);
(2b) in [0.2,0.5] scope an optional arithmetic number as selection percentage;
(2c) cognitive user number in radio net is rounded after being multiplied with selection percentage, obtain the number of users of credit assessment user group;
(2d) selective factor B of credit assessment user group according to the following formula, is calculated:
Wherein, m represents that the selective factor B that credit assessment user organizes, N represent cognitive user number in radio net, and J represents the number of users that credit assessment user organizes,
represent downward floor operation;
(2e) from the database of cognitive user, select the cognitive user meeting following formula identify label condition, the credit assessment user charging to cognitive user organizes in data record:
Imodm＝1
Wherein, I represents the identify label of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation;
(2f) the credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group;
(3) credit assessment user group is screened:
(3a) check that credit assessment user organizes the credit value of all credit assessment users in data record successively, if total credit value of credit assessment user is less than 0.5, or the assessment credit value of credit assessment user is less than 0, then this credit assessment user is organized data record from credit assessment user and delete;
(3b) check that all credit assessment users that credit assessment user organizes in data record participate in credit assessment number of times continuously successively, if credit assessment user participates in credit assessment continuously more than 5 times, this credit assessment user is organized data record from credit assessment user and deletes;
(4) judge whether the residue credit assessment number of users that credit assessment user organizes in data record is less than 2, if be less than 2, perform step (5), otherwise, perform step (6);
(5) credit assessment user group is reselected:
(5a) current credit assessment user organizes a random issue positive integer, using this positive integer as the initial application number of cognitive user;
(5b) wish that the cognitive user adding credit assessment user group sends application information;
(5c) check whether the credit value sending the cognitive user of application information meets application condition, with initial application number for starting point, with 1 for increasing progressively, to qualified cognitive user, set an application number successively, the application number of cognitive user is recorded in the data record of credit assessment user group;
(5d) selective factor B of credit assessment user group according to the following formula, is calculated:
Wherein, m represents the selective factor B that credit assessment user organizes, N
1represent the cognitive user number in the data record of credit assessment user group, J represents the number of users of the credit assessment user group described in step (2c),
represent downward floor operation;
(5e) from the data record of credit assessment user group, the cognitive user of discontented foot formula application numbers condition is deleted:
Amodm＝1
Wherein, A represents the application number of cognitive user, and m represents the selective factor B that credit assessment user organizes, and mod represents modulo operation;
(5f) the credit assessment user of cognitive user is organized the cognitive user recorded in data record, as credit assessment user, using all credit assessment users as credit assessment user group;
(6) the cooperation prestige of cognitive user is assessed:
(6a) cognitive user carries out local frequency spectrum perception;
(6b) cognitive user is by local frequency spectrum perception information reporting to credit assessment user group, and the row vector element value of frequency spectrum perception information is 0 and 1, and the number of the element of row vector is the frequency spectrum number of perception;
(6c) the frequency spectrum perception information of credit assessment user group to cognitive user carries out perception information fusion, obtains final frequency spectrum perception information;
(6d) credit assessment user group is by final frequency spectrum perception information broadcasting to the cognitive user in radio net, and final frequency spectrum perception information is recorded in the perception information data record of cognitive user by cognitive user;
(6e) credit assessment user adjudicates with whether the frequency spectrum perception information of cognitive user is identical final frequency spectrum perception information, if identical, then cognitive user frequency spectrum perception is correct, otherwise, cognitive user frequency spectrum perception mistake;
(6f) credit assessment user assesses the cooperation scoring of cognitive user, if cognitive user reports perception information, and cognitive user frequency spectrum perception is correct, then the cooperation scoring of cognitive user is 1; If cognitive user reports perception information, but cognitive user frequency spectrum perception mistake, then the cooperation scoring of cognitive user is 0.5; If cognitive user does not report perception information, then the cooperation scoring of cognitive user is 0;
(7) Resourse Distribute:
(7a) cognitive user sends and comprises the frequency spectrum solicited message of cognitive user to the bid of asked frequency spectrum;
(7b) according to the following formula, credit assessment user organizes the frequency spectrum competitiveness calculating and send the cognitive user of frequency spectrum solicited message, the frequency spectrum competitiveness of cognitive user is recorded in the frequency spectrum request msg record of cognitive user:
CP＝T*B
Wherein, CP represents the frequency spectrum competitiveness of cognitive user, and T is the total credit value of cognitive user, B by cognitive user to the bid of request frequency spectrum;
(7c) credit assessment user group by the frequency spectrum competitiveness of cognitive user according to sorting from big to small;
(7d) credit assessment user group is by from the frequency spectrum perception data record of cognitive user, the final frequency spectrum perception information read is the frequency spectrum of 0, be recorded as idle frequency spectrum list, the frequency spectrum in idle frequency spectrum list distributed to successively the descending cognitive user of competitiveness;
(7e) credit assessment user organizes and announces spectrum allocation may result;
(8) the communication prestige of cognitive user is assessed:
(8a) cognitive user carries out data communication according to spectrum allocation may result;
(8b) credit assessment user awareness monitors the communication behavior of each cognitive user, determines to mark to the communication of cognitive user according to communication quality judgment criteria;
(9) the assessment credit value of credit assessment user is determined:
(9a) two scorings of marking of communicating of the cooperation scoring of the cognitive user described in step (6f) and the cognitive user described in step (8b) are carried out signature operation by credit assessment user;
(9b) scoring of the cooperation to cognitive user after credit assessment user intercourses signature and the scoring that communicates;
(9c) according to scoring fusion method, respectively credit assessment user is merged with the scoring that communicates the cooperation scoring of cognitive user, obtain the cooperation general comment of cognitive user and the general comment that communicates;
(9d) scoring of credit assessment user is adjudicated, if the cooperation scoring of credit assessment user to cognitive user is all less than 0.1 with the cooperation general comment of cognitive user with the difference of the general comment that communicates respectively with the scoring that communicates, then the assessment of credit assessment user is fair, otherwise the assessment of credit assessment user is unfair;
(9e) according to assessment credit value evaluation method, the assessment credit value of credit assessment user is determined;
(10) credit value upgrades:
(10a) credit assessment user group is according to credit value update method, obtains the reputation data after upgrading, and the trust data after renewal comprises the cooperation credit value of cognitive user, communication credit value and total credit value;
(10b) credit assessment user group is by the reputation data after renewal, is broadcast to all cognitive user of cognitive radio;
(10c) cognitive user is by the reputation data after renewal, is recorded in the trust data record of cognitive user.
2. in distributed cognition radio network according to claim 1, assess the method for cognitive user credit worthiness, it is characterized in that, data record in the database of step (1a) described cognitive user, comprises data record five kinds of data record of the network parametric data record of cognitive user, the trust data record of cognitive user, the perception data record of cognitive user, the frequency spectrum request msg record of cognitive user and credit assessment user group.
3. assess the method for cognitive user credit worthiness in distributed cognition radio network according to claim 1, it is characterized in that, the new cognitive user initialization described in step (1d), carry out as follows:
The first step, credit assessment user group, by the new cognitive user of credit value information notification of other users in current radio network;
Second step, empties the data in the trust data storehouse of new cognitive user, by the credit value information of other cognitive user in current radio network and the cognitive user number database stored in cognitive user;
3rd step, in the database of all cognitive user, adds 1 by cognitive user number in the radio net in the network parametric data record of cognitive user;
4th step, in the trust data record of all cognitive user, for new cognitive user creates a prestige record;
5th step, by the communication credit value of new cognitive user, cooperation credit value and total credit value, all be set to the mean value of the credit value of every other cognitive user in radio net, the assessment credit value of new cognitive user is set to 0, complete new cognitive user initialization.
4. assess the method for cognitive user credit worthiness in distributed cognition radio network according to claim 1, it is characterized in that, the perception information described in step (6c) merges, and carries out as follows:
The first step, the row vector of frequency spectrum perception information is arranged in order, obtains the matrix that a line number equals to report the cognitive user number of frequency spectrum perception information after receiving the frequency spectrum perception information that cognitive user reports by credit assessment user group from top to bottom;
Second step, credit assessment user organizes the number of times that in each column vector of comparator matrix, vector element 0 and 1 occurs, records the vector element that in each column vector, occurrence number is many;
3rd step, credit assessment user group is by each column vector, and the vector element that occurrence number is many is transversely arranged successively, obtains a row vector, using this row vector as final frequency spectrum perception information.
5. in distributed cognition radio network according to claim 1, assess the method for cognitive user credit worthiness, it is characterized in that, communication quality judgment criteria described in step (8b) is: if the behavior taking frequency spectrum or interfere with primary users communication does not by force appear in cognitive user, then the communication scoring of cognitive user is 1; If the behavior of interfere with primary users appears in cognitive user, then the communication scoring of cognitive user is 0.5; If the behavior taking frequency spectrum by force appears in cognitive user, then the communication scoring of cognitive user is 0.
6. assess the method for cognitive user credit worthiness in distributed cognition radio network according to claim 1, it is characterized in that, the scoring fusion method described in step (9c), carry out as follows:
The first step, according to the following formula, calculates credit assessment user to the weight factor of the scoring of cognitive user:
Wherein, ω
jrepresent identify label be the credit assessment user of j to the weight factor of the scoring of cognitive user,
represent that identify label is the assessment credit value of the credit assessment user of j, j represents the identify label of credit assessment user, and J represents the identify label collection of the credit assessment user that credit assessment user organizes, and Σ represents sum operation;
Second step, according to the following formula, merges the cooperation scoring of cognitive user, obtains the cooperation general comment of cognitive user:
Wherein, Q
1represent the cooperation general comment of cognitive user, j represents the identify label of credit assessment user, and J represents the identify label collection of the assessment user that credit assessment user organizes,
expression identify label is that the credit assessment user of j marks to the cooperation of cognitive user, ω
jrepresent that identify label is that the credit assessment user of j is to the weight factor of the scoring of cognitive user;
3rd step, according to the following formula, merges the communication scoring of cognitive user, obtains the communication general comment of cognitive user:
Wherein, Q
2represent the communication general comment of cognitive user, j represents the identify label of credit assessment user, and J represents the identify label collection of the credit assessment user that credit assessment user organizes,
expression identify label is that the credit assessment user of j marks to the communication of cognitive user, and ω represents the weight factor of credit assessment user to the scoring of cognitive user, ω
jrepresent that identify label is that the credit assessment user of j is to the weight factor of the scoring of cognitive user.
7. assess the method for cognitive user credit worthiness in distributed cognition radio network according to claim 1, it is characterized in that, the assessment credit value evaluation method described in step (9e), carry out according to following rule:
The first step, if credit assessment user completes credit assessment and assessment justice, then the assessment credit value of credit assessment user improves 0.1; If credit assessment user completes credit assessment but assessment is unfair, then the assessment credit value of credit assessment user reduces by 0.2; If credit assessment user does not complete credit assessment, then the assessment credit value of credit assessment user reduces by 0.1;
Second step, adjudicates the assessment credit value of credit assessment user and revises: if the assessment credit value of credit assessment user is less than 0, then the assessment credit value of credit assessment user is modified to 0; If the assessment credit value of credit assessment user is greater than 1, then the assessment credit value of credit assessment user is modified to 1.
8. assess the method for cognitive user credit worthiness in distributed cognition radio network according to claim 1, it is characterized in that, the credit value update method described in step (10a), carry out according to following rule:
The first step, according to following formula, calculates the cooperation credit value after the renewal of cognitive user:
T
1＝H
1×γ+Q
1×(1-γ)
Wherein, T
1represent the cooperation credit value after the renewal of cognitive user, H
1for the cooperation credit value before the renewal of cognitive user, γ represents that the time trusts modifying factor, and its value is the real number between 0 and 1, Q
1represent the cooperation general comment of cognitive user;
Second step, according to the following formula, calculates the communication credit value after the renewal of cognitive user:
T
2＝H
2×γ+Q
2×(1-γ)
Wherein, T
2represent the communication credit value after the renewal of cognitive user, H
2for the communication credit value before the renewal of cognitive user, γ represents that the time trusts modifying factor, and its value is the real number between 0 and 1, Q
2represent the communication general comment of cognitive user;
3rd step, according to the following formula, calculates the total credit value after the renewal of cognitive user:
T＝T
1×α+T
2×β+T
3×(1-α-β)
Wherein, T represents the total credit value after the renewal of cognitive user, T
1represent the cooperation credit value after the renewal of cognitive user, T
2represent the communication credit value after the renewal of cognitive user, T
3represent the assessment credit value of cognitive user, α and β represents the trust weight factor, and the value of α and β is between being the real number between 0 and 1, and meets alpha+beta < 1.
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