CN106535226A - Multi-network cooperative selection and aggregation method based on synergetic theory - Google Patents

Abstract

The invention relates to a multi-network cooperative selection and aggregation decision-making method based on a synergetic theory. On the basis of multiple parameters, such as the throughput capacity, the number of available channels, the power consumption, the cost and the packet loss probability, a two-layer network coordination degree evaluation system is constructed; attribute requirements are used as cooperative sub-systems; different parameters belonging to the same attribute are used as order parameters of the sub-systems; the order parameters are mutually cooperative and restricted; therefore, the whole performance of an aggregation network is measured more comprehensively; and simultaneously, the space size of a candidate network set in network aggregation is reduced. The method comprises the following specific steps of: calculating the cooperation degree of a single network at first, so that whether the network is a candidate network participating in aggregation or not is judged; and candidate schemes of multiple networks can be obtained through various permutations and combinations of multiple candidate networks; and forming a virtual aggregation network according to the candidate schemes in an attribute aggregation manner, then, calculating the cooperation degree of the aggregation network, and selecting a multi-network aggregation scheme having the highest cooperation degree as the best access scheme.

Description

A kind of Multi net voting collaboration based on Coodination theory is selected and polymerization

Technical field

The invention belongs to communication technical field, and in particular to a kind of Multi net voting collaboration based on Coodination theory is selected and gathered Close decision-making technique.

Background technology

With the extensive application in cellular networks of the high speed data transmission service with video stream media as representative, wireless network Load sharply increase.According to the prediction for having shutting mechanism, 2015-2018 global data flows will increase by more than 11 times.Using Single network transmission services can not meet the needs of user.Currently, communication network scene has been presented the trend of intensive isomery Jing clearly, along with the appearance and popularization of multimode terminal, it is possible to achieve at the same using multiple network interfaces carry out data lead to Letter, this just proposes new challenge to network insertion decision-making technique, needs for user while select multiple networks to be accessed, from And ensure best Consumer's Experience and service quality, and rationally, it is abundant must be using the resource of each dormant network.Using many nets Network virtual aggregation mode realizes that heterogeneous network parallel transmission becomes solution bandwidth and limits, and alleviates the effective way of offered load..It is many Mould terminal will be provided with accessing the ability of multiple networks, it is possible to achieve while entering row data communication using multiple network interfaces, this is just New challenge is proposed to network insertion decision-making technique, is needed for user while select multiple networks to be accessed, so as to ensure Best Consumer's Experience and service quality, and rationally, it is abundant must using each dormant network resource.

Network selects to be always the emphasis of communications field research with resource allocation problem.But Multi net voting selects to access at present In technique study, many counting methods consider network by carrying out network choosing to the control of the threshold values such as received signal strength and terminal power Select, only study one of them stage that multi-access network is selected, decision attribute is more single, do not consider other of network comprehensively Attribute, easily covers the performance " short slab " of some poor network parameters formation in single network, affects systematic entirety energy, can " wooden pail effect " during network can be caused to select.Except this, it is impossible to enough to filter out effective network very well, fail to participate in polymerization very well The number of network, increased the amount of calculation during network exclusive.Synergetics is applied to the present invention decision-making of Multi net voting polymerization Process, solves Multi net voting and accesses problem.Construct the Collaborative Evaluation body for leading indicator with availability, consuming degree, reliability etc. System.Using the handling capacity of network, available channel, power consumption, expense, packet loss etc. multiple attributes as collaboration subsystem in index system System, belongs to the S order parameter of the different parameters as subsystem of same attribute, mutually collaboration and restriction between S order parameter, can be more The overall performance of network is weighed comprehensively, effective network is filtered out and is participated in polymerization, while the calculating reduced in network polymerization is complicated Degree.Multi net voting provides the user service in the way of virtual aggregation, and the functional structure for being capable of User Access Layer further simplifies.

The content of the invention

Technical problem：It is an object of the invention to provide one kind can make to make full use of wireless network resource, average using is improved Family handling capacity, reduces the corresponding power consumption of unit handling capacity and expense of user, reduces user and accesses blocking rate, and Multi net voting is with virtual The mode of polymerization provides the user the Multi net voting collaboration based on Coodination theory of service and selects and aggregation decisions method.

Technical scheme：The Multi net voting collaboration based on Coodination theory of the present invention is selected and polymerization, including following step Suddenly：

1) determine that single network can use condition to user：Obtain user and receive the received signal strength from each base station RSS_i, wherein i is network sequence number.Network i for terminal available network condition is：Terminal is received carrys out automatic network i signal strength signal intensities RSS_i More than terminal received signals intensity threshold RSS^low, and power consumption P of base station access by terminal i_iIt is less than power consumption of terminal threshold value P^high。 By all single networks for meeting the condition, the user available network set U is constituted.

2) build two benches network performance synergetics evaluation model：Collaborative e-commerce mould of the first stage for single network performance Type, collaborative e-commerce model of the second stage for Multi net voting polymerization.

3) the computation attribute subsystem degree of order：The attribute bigger for numerical value value, j-th sequence in degree of order subsystem Degree of order A of the single S order parameter of parameter j ∈ [1 ..., l-1, l]_xjComputational methods, it is better for the bigger network performance of value just Effectiveness S order parameter, such as handling capacity, number of available channels etc., r_xjUse formulaCalculate, r_xjMore macromolecular is bigger, has Sequence degree is bigger.The disutility S order parameter better for the less network performance of value, such as power consumption, expense, packet loss adopt formulaCalculate, r_xjThe less degree of order is bigger.Wherein, r_jmax,r_jminNet representated by respectively single S order parameter j Network attribute r_xMaximum and minimum of a value, ξ_jThe factor is used for zooming in or out impact of the S order parameter in place subsystem.Temper system System S_xDegree of order Q_kCalculating can be using the average composite calulation of the S order parameter degree of order

4) collaborative e-commerce of network system is calculated：Using the collaborative e-commerce of information entropy computing formula calculating network, system more has Its entropy of sequence is less,Wherein w_xFor attribute subsystem S_xFor the power of system entire effect Weight, can specify according to user preference.

5) network polymerization control：According to single network cooperating degree evaluation model, using step 3), 4) obtain can for Computational Methods With the collaborative e-commerce Ψ of single network i in collection of network U_i, collaborative e-commerce threshold value Ψ being polymerized with the permission participation of setting^thRelatively, note It is to be defined as that network can participate in the mark of parallel network polymerization：Wherein Ψ^thIt is whole for system Body collaborative e-commerce threshold value, relevant with the demand of user, flag=1 is represented and can be participated in polymerization, then may participate in converging network { RAT₁, RAT₂,…,RAT_NMay make up multigroup candidate's Multi net voting scheme for participating in polymerization.

6) Multi net voting attribute polymerization：Assume that N number of different M kinds that are arranged to form of converging network that participate in effectively are polymerized candidate Scheme, M meet (M≤2^N), candidate's Multi net voting aggregation scheme set is defined as { V₁,…V_m,…V_M, for candidate scheme V_m, m= Multiple networks of 1,2 ..., M carry out attribute polymerization, form virtual aggregation collection of network O.

7) Multi net voting performance collaborative e-commerce compares：According to multiple-network system degree evaluation model and step 3) and 4), calculate virtual The Multi net voting collaborative e-commerce of each converging network in converging network set O, the converging network for selecting collaborative e-commerce maximum is used as Multi net voting Selection scheme V_m,^*, the maximum correspondence collaborative e-commerce calculating entropy minimum of collaborative e-commerce, i.e.,

The step of the inventive method 2) in, single network performance collaborative e-commerce modelling includes availability S₁, consuming degree S₂ With reliability S₃Three attribute subsystems, wherein：

Availability subsystem S₁Comprising S order parameter be handling capacity r₁₁With number of available channels r₁₂；

Consuming degree subsystem S₂Comprising S order parameter be power consumption r₂₁With expense r₂₂；

Reliability subsystem S₃Comprising S order parameter be packet loss r₃₁。

The step of the inventive method 2) in, the collaborative e-commerce modelling of Multi net voting polymerization includes availability S₁, consumption Degree of expense S₂, reliability S₃With expenditure subsystem S₄Four attribute subsystems, wherein：

Availability subsystem S₁Comprising S order parameter be handling capacity r₁₁With number of available channels r₁₂；

Consuming degree subsystem S₂Comprising S order parameter be power consumption r₂₁With expense r₂₂；

Reliability subsystem S₃Comprising S order parameter be packet loss r₃₁；

Degree subsystem S₄It is participation converging network number r comprising S order parameter₄₁。

The present invention the step 6) in, attribute polymerization detailed process be, polymerization power consumption PC of multiple wireless networks_sum (t), aggregate throughput TO_sumT (), be polymerized expense CT_sumT (), be polymerized number of available channels X_sumT (), be polymerized packet loss ER_sum(t) Calculated using below equation successively：

Wherein PC_i(t),TO_i(t),CT_i(t),X_i(t),ER_iT () is respectively the corresponding power consumption number of t access network i, Handling capacity, expense, available channel and packet loss.

The present invention by Coodination theory application and Multi net voting selection be polymerized, can be in two stage calculating network performances Collaboration degree, weigh network performance comprehensively, the cyberspace reduced in polymerization process reduces the amount of calculation in polymerization process. After attribute polymerization, used as Multi net voting access scheme, Multi net voting is with virtual aggregation for the converging network for selecting collaboration degree maximum Mode provide the user service, preferably realize the decision problem in network multiple access.

The inventive method recycles collaborative e-commerce calculating sifting to go out first with the available network in threshold decision user position The network of polymerization is may participate in, converging network will be become into candidate network aggregation scheme, the calculating again to each aggregation scheme gathers The collaborative e-commerce of attribute is closed, the network polymerization scheme that optimum efficiency can be provided is selected, wireless network resource can be made full use of, so as to Improve QoS of customer, improve user's average throughput, reduce the corresponding power consumption of unit handling capacity and expense of user, reduce The blocking rate that user accesses, while reduce the amount of calculation in polymerization process.

Beneficial effect

The present invention compared with prior art, with advantages below：

Different from traditional single method for network access, Multi net voting proposed by the present invention is selected and is polymerized cut-in method can be simultaneously Row accesses multiple networks, and multiple networks are provided the user in the way of a kind of virtual aggregation service, makes full use of multiple all Idling-resource provides the user service, so as to greatly improve network utilization, also improves QoS of customer.

The Multi net voting collaboration based on Coodination theory of the present invention is selected and aggregation decisions method is by setting up network performance Collaborative e-commerce model, weighs network performance after single network and polymerization comprehensively, compares simple threshold values multi-access method and can improve letter Road utilization benefit, reduces user and accesses blocking rate, increases average throughput and the power system capacity of user, while reduce unit handling up Corresponding power consumption and expense is measured, is illustrated：

(1) user's access blocking rate is low：This method can cooperate with multiple attribute subsystems to carry out network selection, with availability Subsystem for index includes two S order parameters of handling capacity and number of available channels, the network cooperating degree that two kinds of parameters are all preferably showed Greatly, i.e., method prioritizing selection network burden is light, the larger network of handling capacity, and in the case where throughput demands are met, idle channel retains Quantity is more, reduces user and accesses blocking rate.

(2) average user throughput is big：The signal strength signal intensity that this method can be received according to user position, selects to close Suitable network insertion, and not all access, network allocation are used to the maximum user of system benefit, it is possible to increase channel is used Income, lifts average user throughput.

(3) the corresponding power consumption of Subscriber Unit handling capacity, expense are reduced：Method will include consuming degree of power consumption and expense System, carries out collaboration judgement with the availability subsystem comprising handling capacity, and deflection selects handling capacity big and power consumption and expense Relatively small network insertion, can reduce the corresponding power consumption of Subscriber Unit handling capacity and expense.

(4) in being polymerized, amount of calculation is reduced：During this method is realized, threshold decision is first passed through, determines whether network can use, it is only right Available network is analyzed, and reduces the size of single network set；Secondly, by calculating single network collaborative e-commerce, select collaboration The big single network of degree participates in network polymerization, effectively can weigh network performance simultaneously, network collection during further compression is calculated The space size of conjunction, reduces amount of calculation.

Description of the drawings

Schematic flow sheets of the Fig. 1 for the inventive method.

Collaborative e-commerce evaluation model figures of the Fig. 2 for single network performance.

Collaborative e-commerce evaluation model figures of the Fig. 3 for Multi net voting polymerization.

Fig. 4 is the simulation comparison figure of the calculation times changed with network number.

Fig. 5 is the simulation result figure of the blocking rate changed with number of users.

Fig. 6 is the simulation result figure of the unit handling capacity changed with number of users.

Fig. 7 is the simulation result figure of the corresponding power consumption of unit handling capacity changed with number of users.

Fig. 8 is the simulation result figure of the corresponding expense of unit handling capacity changed with number of users.

Specific embodiment

The technical scheme invented is described in detail with reference to embodiment and Figure of description：

Coodination theory is seemingly applied to Multi net voting and selects, with polymerization, to set up the association of network attribute by the present invention Classmate's Evaluating Models, the collaborative e-commerce of calculating network attribute judge to participate in polymerization by the collaborative e-commerce of single network performance Network, forms converging network candidate scheme, carries out attribute polymerization to each scheme, and then calculate the collaboration of each converging network Degree, used as optimum Multi net voting access scheme, in the program, network performance general performance is most for the converging network for cooperateing with degree maximum For meeting desirable.

Multi net voting collaboration based on Coodination theory is selected and the overview flow chart of aggregation decisions method is shown in accompanying drawing 1.

The Multi net voting collaboration based on Coodination theory of the present invention is selected and aggregation decisions method, is comprised the following steps：

1) determine the set U of user's current time available network：User is calculated respectively receives the reception from each network Signal strength signal intensity RSS_iT () needs to produce power consumption P with the network terminal is connected_i, wherein i is that network sequence number considers free space model Under path loss and shadow fading model, it is assumed that the reference distance apart from base station i be d₀The path loss at place is L₀, then during t Carve customer mobile terminal apart from base station be d at path loss L_iT () is：

L_i(t)=L_i+10n_ilg(d/d₀)+G (μ, σ) (1)

Wherein n_iIt is path loss coefficient, with channel condition information (CSI:Channel State Information) and Base station equipment relating to parameters, G (μ, σ) are μ for the average of Gaussian distributed, and variance is the shadow fading of σ.

If the fixed transmission power of base station i is P_i ^bs, under large scale path loss model, t is at the d of base station Terminal receives the received signal strength RSS from base station i_iT () is：

RSS_i(t)=P_i ^bs-L_i(t) (2)

Assume P_i ^utAnd P_i ^urThe respectively fixed transmission power consumption and fixed reception power consumption of mobile terminal, what network insertion was produced Fixed power consumption P_i ^uPower consumption sum produced by sending and receiving：

P_i ^u=P_i ^ut+P_i ^ur (3)

The minimal detectable power threshold value for defining network i base stations is P_i ^brmin, it is assumed that up-downgoing fading channel is identical, is guarantee The normal transmission of data, the terminal minimum emissive power P in t at the d of base station_i ^tsminT () should be：

Terminal includes fixing power consumption and actual transmissions power consumption in the actual power loss that t is connected with base station i^[12], and it is actual Transmission power consumption is linearly increasing with terminal minimum emissive power, and linear increase coefficient is κ_i, then have：

Then according to following standard builds the set U of user's current time available network：If terminal is received carrys out automatic network i Signal strength signal intensity RSS_iMore than terminal received signals intensity threshold RSS^low, and power consumption P of base station access by terminal i_iIt is less than terminal Power consumption threshold value P^high, then sequence number i of the network being then included into into set U by the network, otherwise sequence number i of the network is not included into collection Closing U, i.e. Rule of judgment is：

2) network attribute is calculated：RSS instantaneous measures are processed using the Secondary Exponential Smoothing Method of single smoothing parameter, meter Calculating formula is：

Time serieses of the wherein t for positive integer, RSS⁽¹⁾ _i(t) and RSS⁽²⁾ _iT () is the instantaneous RSS to carrying out automatic network i respectively Single exponential smoothing and double smoothing value, π be Smoothness Index parameter and π ∈ (0,1).Initial time RSS_i ⁽²⁾(0)= RSS_i ⁽¹⁾(0)=RSS_i ⁽⁰⁾(0)=0, and RSS_i ⁽²⁾(1)=RSS_i ⁽¹⁾(1)=RSS_i ⁽⁰⁾(1)=0, after the pretreatment of RSS The RSS for obtaining_i ⁽²⁾T () is by with contract network selection and aggregation decisions method later.

Handling capacity TO that can be obtained by shannons second theorem, accessing terminal to network i_iT () is：

Wherein, ρ_i∈ (0,1] represent information payloads accounting rate, BW_iUnique user is distributed to for wireless network i to connect The channel width for entering, N_oFor additive white Gaussian noise power.

3) build two benches network performance synergetics evaluation model：Collaborative e-commerce mould of the first stage for single network performance Type, is shown in annex Fig. 2, collaborative e-commerce model of the second stage for Multi net voting polymerization, such as annex Fig. 3.

4) the attribute subsystem degree of order is calculated：

For attribute subsystem S_xComprising l S order parameter, l dimension state vector represent：

r_x=(r_x1,r_x2,...r_xk,...r_xl) (9)

Degree of order A of single S order parameter_xjComputational methods

Wherein r_jmax,r_jminNetwork attribute r representated by respectively single S order parameter j_xMaximum and minimum of a value, introduce ξ_jFactor is used for zooming in or out impact of the S order parameter in place subsystem.Formula (10) (11) can be to each S order parameter point Amount is that network attribute is standardized, specifically：J-th S order parameter j ∈ [1 ..., l-1, l] in degree of order subsystem is single Degree of order A of individual S order parameter_xjComputational methods, the such as positive effectiveness S order parameter better for the bigger network performance of value, handling capacity, can With number of channel etc., r_xjCalculated with formula (10), r_xjMore macromolecular is bigger, and the degree of order is bigger.Vice versa, for the sequence of disutility Parameter, such as power consumption, expense, packet loss adopt formula (11), r_xjThe less degree of order is bigger.By can be different for numerical value implication Performance parameter is unified to embody with the numerical value in the range of 0 to 1, and the degree of order is closer to user's expectation closer to 1.

Attribute subsystem S_xThe degree of order it is bigger, the performance parameter of subsystem is more excellent, attribute subsystem S_xDegree of order Q_kMeter The average composite calulation that can utilize the S order parameter degree of order is calculated, i.e.,：

5) collaborative e-commerce of network system is calculated：Using the collaborative e-commerce of information entropy computing formula calculating network, system more has Its entropy of sequence is less:

Wherein w_xFor attribute subsystem S_xFor the weight of system entire effect, can be specified according to user preference.

6) network polymerization control：According to single network cooperating degree evaluation model, using step 3), 4) obtain can for Computational Methods With the collaborative e-commerce Ψ of single network i in collection of network U_i, collaborative e-commerce threshold value Ψ being polymerized with the permission participation of setting^thRelatively, note It is to be defined as that network can participate in the mark of parallel network polymerization：Wherein Ψ^thFor system entirety Collaborative e-commerce threshold value, relevant with the demand of user, flag=1 is represented and can be participated in polymerization, then may participate in converging network { RAT₁, RAT₂,…,RAT_NMay make up multigroup candidate's Multi net voting scheme for participating in polymerization.

7) Multi net voting attribute polymerization：Assume that N number of different M kinds that are arranged to form of converging network that participate in effectively are polymerized candidate Scheme, M meet (M≤2^N), candidate's Multi net voting aggregation scheme set is defined as { V₁,…V_m,…V_M, for candidate scheme V_m, m= Multiple networks of 1,2 ..., M carry out attribute polymerization, form virtual aggregation collection of network O.Attribute polymerization detailed process be, Duo Gewu Polymerization power consumption PC of gauze network_sum(t), aggregate throughput TO_sumT (), be polymerized expense CT_sumT (), be polymerized number of available channels X_sum T (), be polymerized packet loss ER_sumT () is calculated using below equation successively：

Wherein PC_i(t),TO_i(t),CT_i(t),X_i(t),ER_iT () is respectively the corresponding power consumption number of t access network i, Handling capacity, expense, available channel and packet loss.

8) Multi net voting performance collaborative e-commerce compares：According to multiple-network system degree evaluation model and step 3) and 4), calculate virtual The Multi net voting collaborative e-commerce of each converging network in converging network set O, the converging network for selecting collaborative e-commerce maximum is used as Multi net voting Selection scheme V_m,^*, i.e.,

In sum, the select permeability of Multi net voting is regarded the select permeability of multiple network polymerization schemes as, to each satisfaction The candidate network aggregation scheme of handling capacity and power consumption threshold condition calculates the relative proximity with positive ideal scheme, selects performance It is optimum as Multi net voting access scheme, realize preferable Multi net voting decision-making.It is to use when number of users changes as shown in Figure 2 The simulation result of family average throughput, the heterogeneous network based on Multi net voting parallel transmission access user's average throughput of decision-making technique Amount is significantly greater than traditional single method for network access, and effectively can be reduced by accompanying drawing 3 and 4 visible the inventive method of accompanying drawing The corresponding power consumption of unit handling capacity of user and expense, thus heterogeneous network of the explanation based on Multi net voting parallel transmission accesses decision-making Method can make full use of Internet resources, provide the user satisfied QoS.

In sum, this method is applied to synergetics in Multi net voting selection and aggregation decisions, based on handling capacity, can use letter The multiple parameters such as road number, power consumption, expense and packet loss build network cooperating degree appraisement system, and the multiple attributes of network can be carried out Decision-making.Using attribute specification as collaboration subsystem, belong to the S order parameter of the different parameters as subsystem of same attribute, S order parameter Between mutually collaboration and restrict, cooperate with usage by various performance subsystems, be intended to select the more preferable Multi net voting of overall performance Aggregation scheme.Control in single network polymerization, and in converging network selection course, calculate collaborative e-commerce respectively, weigh internetworking comprehensively Can, reduce the computation complexity in network polymerization, the simulation comparison figure that such as annex Fig. 4 amounts of calculation change with network number.It is attached Record Fig. 5 shows that the inventive method can reduce user and access blocking rate, and pass through 6,7 and 8 visible the inventive method of accompanying drawing most Bigization channel utilization benefit, increases the average throughput of user.The corresponding power consumption of unit handling capacity and expense is reduced simultaneously.

Claims (4)

1. a kind of Multi net voting collaboration based on Coodination theory is selected and aggregation decisions method, it is characterised in that the method includes Following steps：

1) determine that single network can use condition to user：Obtain user and receive the received signal strength RSS from each base station_iWith Power consumption of terminal P_i, wherein i is network sequence number；Network i for terminal available network condition is：Terminal is received carrys out automatic network i signals Intensity RSS_iMore than terminal received signals intensity threshold RSS^low, and power consumption P of base station access by terminal i_iIt is less than power consumption of terminal Threshold value P^high；By all single networks for meeting the condition, the user available network set U is constituted；

2) build two benches network performance synergetics evaluation model：Collaborative e-commerce model of the first stage for single network performance, the Collaborative e-commerce model of the two-stage for Multi net voting polymerization；

3) the computation attribute subsystem degree of order：The attribute bigger for numerical value value, j-th S order parameter in degree of order subsystem Degree of order A of the single S order parameters of j ∈ [1 ..., l-1, l]_xjComputational methods, the positive effectiveness better for the bigger network performance of value S order parameter, r_xjUse formulaCalculate, r_xjMore macromolecular is bigger, and the degree of order is bigger；For the less internetworking of value Disutility S order parameter that can be better, packet loss adopt formulaCalculate, r_xjThe less degree of order is bigger；Wherein, r_jmax,r_jminNetwork attribute r representated by respectively single S order parameter j_xMaximum and minimum of a value, ξ_jThe factor be used for amplify or Reduce impact of the S order parameter in place subsystem；Attribute subsystem S_xDegree of order Q_kCalculating can utilize the S order parameter degree of order Average composite calulation

4) collaborative e-commerce of network system is calculated：Using the collaborative e-commerce of information entropy computing formula calculating network, system it is more orderly its Entropy is less,Wherein w_xFor attribute subsystem S_xFor the weight of system entire effect, root Specify according to user preference；

5) network polymerization control：According to single network cooperating degree evaluation model, using step 3), 4) Computational Methods obtain available net The collaborative e-commerce Ψ of single network i in network set U_i, collaborative e-commerce threshold value Ψ being polymerized with the permission participation of setting^thRelatively, remember network The mark for participating in parallel network polymerization is to be defined as：Wherein Ψ^thFor system overall coordination degree threshold Value, relevant with the demand of user, flag=1 represents participation polymerization, then participate in converging network { RAT₁,RAT₂,…,RAT_NConstitute Multigroup candidate's Multi net voting scheme for participating in polymerization；

6) Multi net voting attribute polymerization：Assume that N number of different M kinds that are arranged to form of converging network that participate in effectively are polymerized candidate side Case, M meet M≤2^N, candidate's Multi net voting aggregation scheme set is defined as { V₁,…V_m,…V_M, for candidate scheme V_m, m=1, Multiple networks of 2 ..., M carry out attribute polymerization, form virtual aggregation collection of network O；

7) Multi net voting performance collaborative e-commerce compares：According to multiple-network system degree evaluation model and step 3) and 4), calculate virtual aggregation The Multi net voting collaborative e-commerce of each converging network in collection of network O, the converging network for selecting collaborative e-commerce maximum are selected as Multi net voting Plan V_m,^*, the maximum correspondence collaborative e-commerce calculating entropy minimum of collaborative e-commerce, i.e.,V_m, m=1,2 ..., M.

2. method according to claim 1, it is characterised in that the step 2) in, single network performance collaborative e-commerce model Including availability S₁, consuming degree S₂With reliability S₃Three attribute subsystems, wherein：

Availability subsystem S₁Comprising S order parameter be handling capacity r₁₁With number of available channels r₁₂；

Consuming degree subsystem S₂Comprising S order parameter be power consumption r₂₁With expense r₂₂；

Reliability subsystem S₃Comprising S order parameter be packet loss r₃₁。

3. method according to claim 1, it is characterised in that the step 2) in, the collaborative e-commerce of Multi net voting polymerization Model includes availability S₁, consuming degree S₂, reliability S₃With expenditure subsystem S₄Four attribute subsystems, wherein：

Availability subsystem S₁Comprising S order parameter be handling capacity r₁₁With number of available channels r₁₂；

Consuming degree subsystem S₂Comprising S order parameter be power consumption r₂₁With expense r₂₂；

Reliability subsystem S₃Comprising S order parameter be packet loss r₃₁；

Degree subsystem S₄It is participation converging network number r comprising S order parameter₄₁。

4. method according to claim 1, it is characterised in that the step 6) in, attribute polymerization detailed process is, multiple Polymerization power consumption PC of wireless network_sum(t), aggregate throughput TO_sumT (), be polymerized expense CT_sumT (), be polymerized number of available channels X_sum T (), be polymerized packet loss ER_sumT () is calculated using below equation successively：

${\mathrm{PC}}_{sum}\left(t\right)=\underset{i\∈V_m}{\Σ}{\mathrm{PC}}_i\left(t\right)$

${\mathrm{TO}}_{sum}\left(t\right)=\underset{i\∈V_m}{\Σ}{\mathrm{TO}}_i\left(t\right)$

${\mathrm{CT}}_{sum}\left(t\right)=\underset{i\∈V_m}{\Σ}{\mathrm{CT}}_i\left(t\right)$

$X_{sum}\left(t\right)=\underset{i\∈V_m}{\Σ}{X}_i\left(t\right)$

${\mathrm{ER}}_{sum}\left(t\right)=\underset{i\∈V_m}{\Σ}{\mathrm{ER}}_i\left(t\right)$

Wherein PC_i(t),TO_i(t),CT_i(t),X_i(t),ER_iT () is respectively the corresponding power consumption number of t access network i, handles up Amount, expense, available channel and packet loss.