CN108260156A - A kind of WLAN based on business is averaged electromagnetic radiation Forecasting Methodology - Google Patents

A kind of WLAN based on business is averaged electromagnetic radiation Forecasting Methodology Download PDF

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CN108260156A
CN108260156A CN201810072832.2A CN201810072832A CN108260156A CN 108260156 A CN108260156 A CN 108260156A CN 201810072832 A CN201810072832 A CN 201810072832A CN 108260156 A CN108260156 A CN 108260156A
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wlan
state
duty ratio
states
electromagnetic radiation
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CN108260156B (en
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杨万春
李文祥
谭平安
彭艳芬
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Xiangtan University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/147—Network analysis or design for predicting network behaviour
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network

Abstract

It is averaged electromagnetic radiation Forecasting Methodology the invention discloses a kind of WLAN based on business, four kinds of principal states is according to WLAN first：Browse web traffic state, video traffic state, downloading service state and idle state, WLAN business models are established using Markov Chain, calculate the stabilization probability of happening that WLAN is in four states, utilize collected WLAN data packet and MATALAB fitting tools, the probability density function of the duration of tetra- states of WLAN is obtained respectively, and calculate its state duration desired value, then the total duty ratios of WLAN are calculated according to the duty ratio of tetra- states of WLAN, finally maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the total duty ratios of WLAN, prediction WLAN is averaged electromagnetic radiation intensity.It is of the invention can Accurate Prediction WLAN be averaged electromagnetic radiation intensity.

Description

A kind of WLAN based on business is averaged electromagnetic radiation Forecasting Methodology
Technical field
It is averaged electromagnetic radiation Forecasting Methodology the present invention relates to a kind of WLAN based on business.
Background technology
With popularizing for WLAN (Wireless Local Area Network, WLAN), to WLAN electromagnetic radiation Strength assessment is more and more important.Main research WLAN electromagnetic radiation situations at present, are all based on measurement.Document《Procedure for assessment of general public exposure from WLAN in offices and in wireless sensor network testbed》(L.Verlook,W.Joseph,et al.Procedure for assessment of general public exposure from WLAN in offices and in wireless Sensor network testbed [J] .Health Phys., vol.98, pp.628-638,2010.), it analyzes and uses frequency spectrum Instrument calculates the method for duty ratio in the time domain, and analyzes the parameter setting of frequency spectrograph to duty ratio measuring and electromagnetic radiation intensity The influence of measurement.Document《Determination of the duty cycle of WLAN for realistic radio frequency electromagnetic field exposure assessment》(Wout Joseph,Daan Pareit, et al.Determination of the duty cycle of WLAN for realistic radio frequency electromagnetic field exposure assessment[J].Prog.Biophys.Mol.Biol.,111 (2013), pp.30-36), the duty ratio of the WLAN under field survey different scenes, such as factory, city, office, countryside Deng, but above-mentioned document cannot be used for WLAN electromagnetic radiation prediction, if desired for estimate some WLAN electromagnetic radiation size, often It needs to expend a large amount of man power and material.The electromagnetic radiation size of WLAN actually exists with the service condition of WLAN to be associated with, WLAN is generally used for web-browsing service, video traffic, downloading service and idle state, meanwhile, WLAN is in different business shape The duty ratio of state is different, and WLAN is in number under different business state and the time is also different, but currently without pertinent literature and Patent proposes a kind of method that WLAN electromagnetic radiation is predicted according to business.
For the deficiencies in the prior art, this patent proposes that a kind of WLAN based on the business electromagnetic radiation that be averaged is predicted Method, this method four main states according to residing for WLAN：Browse web traffic state, video traffic state, downloading service State and idle state establish WLAN business models using Markov Chain, and analysis obtains the stabilization probability of happening of different business, And tetra- principal states of WLAN are modeled using multiple index distribution, analysis obtains the expected duration of four principal states, The total duty ratios of WLAN are calculated with reference to the two, finally show that WLAN is averaged electromagnetic radiation according to total duty ratio.Pass through experiment Show that the method electromagnetic radiation that can accurately be averaged to WLAN that this patent proposes is predicted and assessed.
Invention content
To achieve the above object, the technical solution adopted by the present invention is as follows：A kind of WLAN based on business is averaged electromagnetism spoke Penetrate Forecasting Methodology, which is characterized in that include the following steps：
1) four kinds of principal states are according to WLAN：Browse web traffic state, video traffic state, downloading service state With idle state, WLAN business models are established using Markov Chain, WLAN is calculated and is in the stable generation of four states generally Rate；
2) collected WLAN data packet and MATALAB multiple index fitting tools are utilized, obtains tetra- shapes of WLAN respectively Probability density function, parameter and the weighted value of the duration of state, and calculate its state duration desired value；
3) continuous time and its distribution that the stabilization probability of happening and step 2 obtained according to step 1 obtains, while according to WLAN tetra- The duty ratio of a state：Browse web traffic state duty ratio, video traffic state duty ratio, downloading service state duty ratio and Idle state duty ratio calculates total duty ratio of WLAN；
4) maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the total duty ratio for the WLAN that step 3 obtains, Prediction WLAN is averaged electromagnetic radiation intensity.
A kind of above-mentioned WLAN based on business is averaged electromagnetic radiation Forecasting Methodology, in the step 1), at WLAN In four kinds of principal states：Web traffic state, video traffic state, downloading service state and idle state are browsed, utilizes Ma Er Section's husband's chain establishes WLAN business models, calculates the stabilization probability of happening that WLAN is in four states, is as follows shown：
The transition probability calculation formula of tetra- states of WLAN is as follows：
In formula (1), mijFor WLAN status i to the transition probability of state j, nijConversion time for state i to state j Number, wherein i, j ∈ { 1,2,3,4 }, 1 represents browsing web traffic state, and 2 represent video traffic state, and 3 represent downloading service shape State, 4 represent idle state；
According to Markov transition matrix, the stabilization probability of happening calculation formula of tetra- states of WLAN is as follows：
p1+p2+p3+p4=1 (3)
P in above formulaiFor the stabilization probability of happening of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }, with reference to formula (2) and (3) p can be calculatediValue.
A kind of above-mentioned WLAN based on business is averaged electromagnetic radiation Forecasting Methodology, in the step 2), which is characterized in that Using collected WLAN data packet and MATLAB multiple index fitting tools, the duration of tetra- states of WLAN is obtained respectively Probability density function it is as follows：
In formula (4), λ1And λ2The respectively parameter of multiple index distribution, a and b are respectively the weighted value of multiple index distribution, Wherein a+b=1, i are the identifier of tetra- states of WLAN, and wherein i ∈ { 1,2,3,4 }, 1 represents browsing web traffic state, 2 generations Table video traffic state, 3 represent downloading service state, and 4 represent idle state, pass through collected WLAN data packet and MATLAB Multiple index fitting tool obtains parameter value λ1、λ2And weighted value a, b；
It is distributed according to multiple index, calculates tetra- state duration desired values of WLAN, calculation formula is as follows：
In formula (5), TiFor the duration of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }.
A kind of above-mentioned WLAN based on business is averaged electromagnetic radiation Forecasting Methodology, in the step 3), which is characterized in that The continuous time and its distribution that the stabilization probability of happening and step 2 obtained according to step 1 obtains, while accounting for according to tetra- states of WLAN Empty ratio：Browsing web traffic state duty ratio, video traffic state duty ratio, downloading service state duty ratio and idle state account for Empty ratio, calculates total duty ratio of WLAN, and calculation formula is as follows：
In formula (6), piBrowsing webpage is represented for the stabilization probability of happening of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }, 1 Service condition, 2 represent video traffic state, and 3 represent downloading service state, and 4 represent idle state, TiFor tetra- states of WLAN Duration, wherein i ∈ { 1,2,3,4 }, D1To browse web traffic state duty ratio, value 6.2%, D2For WLAN videos Service condition duty ratio, value 64.53%, D3For WLAN downloading service state duty ratios, value 65.18%, D4For WLAN Idle state duty ratio, value 0.6%, TtotallFor total time.
A kind of above-mentioned WLAN based on business is averaged electromagnetic radiation Forecasting Methodology, in the step 4), which is characterized in that Maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the duty ratio for the WLAN that step 3 obtains, prediction WLAN is averaged Electromagnetic radiation intensity, formula are as follows：
E in formula (7)avgRepresent average electromagnetic radiation intensity, unit V/m, EmaxRepresent the maximum electromagnetic radiation of WLAN Intensity, unit V/m are measured under " maximum is kept " pattern by frequency spectrograph and obtained, D represents the duty ratio of WLAN.
The beneficial effects of the present invention are：This method is when prediction WLAN is averaged electromagnetic radiation, it is contemplated that the business of WLAN State is averaged to WLAN the influence of electromagnetic radiation, and when combining the stabilization probability of happening of tetra- main businesses of WLAN, it is expected to continue Between and the busy duty ratio duty ratio total to WLAN theory analysis, finally obtain WLAN and be averaged electromagnetic radiation predicted value.This method People can be allowed to fully understand the radiation profiles situation of WLAN, and guide WLAN environmental impact assessment and environmental protection, had certain Social value.
Description of the drawings
Fig. 1 is flow diagram of the present invention.
Specific embodiment
The present invention is further illustrated with reference to the accompanying drawings and examples.
Objective for implementation of the present invention is IEEE802.11b and 802.11gWLAN, is operated in 2.4GHz frequency ranges, total available bandwidth For 83.5MHz (2.4GHz~2.483GHz), it is divided into the channel that 13 bandwidth are 22MHz.Measuring apparatus is safe and sound letter company The scanning tuning frequency spectrograph (frequency range 9kHz-3GHz) and PCD82_50 omnidirectional antenna (frequencies of the model AT6030D of production Ranging from 80MHz-3GHz) composition, antenna factor 30dB/m, cable loss 3dB.
A kind of WLAN based on business of the present invention is averaged electromagnetic radiation Forecasting Methodology, includes the following steps：
1) four kinds of principal states are according to WLAN：Browse web traffic state, video traffic state, downloading service state With idle state, WLAN business models are established using Markov Chain, WLAN is calculated and is in the stable generation of four states generally Rate；
2) collected WLAN data packet and MATALAB multiple index fitting tools are utilized, obtains tetra- shapes of WLAN respectively Probability density function, parameter and the weighted value of the duration of state, and calculate its state duration desired value；
3) continuous time and its distribution that the stabilization probability of happening and step 2 obtained according to step 1 obtains, while according to WLAN tetra- The duty ratio of a state：Browse web traffic state duty ratio, video traffic state duty ratio, downloading service state duty ratio and Idle state duty ratio calculates total duty ratio of WLAN；
4) maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the total duty ratio for the WLAN that step 3 obtains, Prediction WLAN is averaged electromagnetic radiation intensity.
In above-mentioned steps 1, four kinds of principal states are according to WLAN：Browse web traffic state, video traffic state, under Service condition and idle state are carried, WLAN business models are established using Markov Chain, WLAN is calculated and is in four states Stablize probability of happening, including the following contents：
In certain laboratory, user is surfed the Internet by router (model Mercury MW305R), acquires the data on router Packet, wherein the content acquired is：Time point, user's MAC address, AP dot addresses, procotol, the network port, content type etc., Point continuous measurement 7 days, obtain the conversion times of tetra- states of WLAN and state transition probability are obtained from 10 points to 11, following table It is shown：
State 1 State 2 State 3 State 4
State 1 0.239 0.201 0.067 0.493
State 2 0.36 0.16 0.06 0.42
State 3 0.278 0.111 0.167 0.444
State 4 0.832 0.166 0.032 0
State 1 represents WLAN browsing web traffic states in upper table, and state 2 represents WLAN video traffic states, 3 generation of state Table WLAN downloading service states, state 4 represent WLAN idle states；
The matrix of transition probabilities is established using Markov Chain, and the stabilization probability of happening of tetra- states of WLAN is obtained, it is as follows It is shown：
p1+p2+p3+p4=1
Pass through above formula, it can be deduced that the stabilization probability of happening of tetra- states of WLAN：pi∈{0.44,0.18,0.06, 0.32 }, wherein i ∈ { 1,2,3,4 }.
In above-mentioned steps 2, using collected WLAN data packet and MATALAB multiple index fitting tools, obtain respectively Probability density function, parameter and the weighted value of the duration of tetra- states of WLAN, and its state duration desired value is calculated, Including the following contents：
By collected WLAN data packet situation, the duration sampled value of tetra- states of WLAN is obtained, is utilized MATLAB softwares carry out multiple index fitting of distribution to sampled value, obtain following parameter value and weighted value；
λ1 λ2 a b
State 1 0.17 0.11 0.79 0.21
State 2 0.037 0.042 0.63 0.27
State 3 0.068 0.14 0.72 0.28
State 4 0.034 0.051 0.63 0.37
State 1 represents WLAN browsing web traffic states in upper table, and state 2 represents WLAN video traffic states, 3 generation of state Table WLAN downloading service states, state 4 represent WLAN idle states, λ1And λ2The respectively parameter of multiple index distribution, a and b divide Not Wei multiple index distribution weighted value, wherein a+b=1 is distributed by the multiple index of acquisition, can obtain tetra- states of WLAN Duration desired value：Ti∈{6.5,23.5,12.6,25.8}。
In above-mentioned steps 3, continuous time and its distribution that the stabilization probability of happening and step 2 that are obtained according to step 1 obtain, simultaneously According to the duty ratio of tetra- states of WLAN：Browse web traffic state duty ratio, video traffic state duty ratio, downloading service shape State duty ratio and idle state duty ratio calculate total duty ratio of WLAN, including the following contents：
Wherein, piBrowsing webpage industry is represented for the stabilization probability of happening of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }, 1 Business state, 2 represent video traffic state, and 3 represent downloading service state, and 4 represent idle state, TiFor holding for tetra- states of WLAN Continuous time, wherein i ∈ { 1,2,3,4 }, D1To browse web traffic state duty ratio, value 6.2%, D2For WLAN video industry Business state duty ratio, value 64.53%, D3For WLAN downloading service state duty ratios, value 65.18%, D4For the WLAN spare time When state duty ratio because WLAN idles can the period send Beacon frames, D4It is worth for 0.6%, TtotallFor total time.
In above-mentioned steps 4, maximum electromagnetic radiation intensity is measured using spectrum analyzer, the WLAN obtained with reference to step 3 Total duty ratio, prediction WLAN is averaged electromagnetic radiation intensity, including the following contents：
The channel that router sends is monitored by frequency spectrograph, in the present embodiment, router, which is operated in 2.4GHz frequency ranges 1, to be believed On road (centre frequency 2.412GHz, frequency coverage 2.401-2.423GHz).By using frequency spectrograph in " maximum guarantor Hold " under pattern, maximum electromagnetic radiation intensity is measured as 4.1963V/m, then in conjunction with the WLAN duty ratios obtained in step 3, Its value is 38.14%, you can predicts the average electromagnetic radiation intensity of WLAN：
In order to prove the validity of invention, we are measured to measure respectively with frequency spectrograph and be obtained in Office Area and teaching area scene The electromagnetic radiation intensity of WLAN and the electromagnetic radiation intensity of prediction compare, meanwhile, carried out the measured value of twice with it is pre- Measured value compares, as a result as follows：
Time Electromagnetic radiation measuring value Electromagnetic radiation predicted value
10. -11 points 1.056 1.002
15. -16 points 2.105 2.049
By comparison, this patent is very consistent to the predicted value and measured value of WLAN electromagnetic radiation intensities, it was demonstrated that this patent The feasibility of invention content.

Claims (5)

  1. The electromagnetic radiation Forecasting Methodology 1. a kind of WLAN based on business is averaged, which is characterized in that include the following steps：
    1) four kinds of principal states are according to WLAN：Browse web traffic state, video traffic state, downloading service state and spare time When state, establish WLAN business models using Markov Chain, calculate the stabilization probability of happening that WLAN is in four states；
    2) collected WLAN data packet and MATALAB multiple index fitting tools are utilized, obtains tetra- states of WLAN respectively Probability density function, parameter and the weighted value of duration, and calculate its state duration desired value；
    3) continuous time and its distribution that the stabilization probability of happening and step 2 obtained according to step 1 obtains, while according to tetra- shapes of WLAN The duty ratio of state：Browse web traffic state duty ratio, video traffic state duty ratio, downloading service state duty ratio and idle State duty ratio calculates total duty ratio of WLAN；
    4) maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the total duty ratio for the WLAN that step 3 obtains, prediction WLAN is averaged electromagnetic radiation intensity.
  2. The electromagnetic radiation Forecasting Methodology 2. a kind of WLAN based on business as described in claim 1 is averaged, in the step 1), It is characterized in that, four kinds of main states is according to WLAN：Browse web traffic state, video traffic state, downloading service shape State and idle state establish WLAN business models using Markov Chain, calculate the stable generation that WLAN is in four states Probability is as follows shown：
    The transition probability calculation formula of tetra- states of WLAN is as follows：
    In formula (1), mijFor WLAN status i to the transition probability of state j, nijFor state i to the conversion times of state j, Middle i, j ∈ { 1,2,3,4 }, 1 represents browsing web traffic state, and 2 represent video traffic state, and 3 represent downloading service state, and 4 Represent idle state；
    According to Markov transition matrix, the stabilization probability of happening calculation formula of tetra- states of WLAN is as follows：
    p1+p2+p3+p4=1 (3)
    P in above formulaiIt, can with reference to formula (2) and (3) for the stabilization probability of happening of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 } Calculate piValue.
  3. The electromagnetic radiation Forecasting Methodology 3. a kind of WLAN based on business as described in claim 1 is averaged, in the step 2), It is characterized in that, using collected WLAN data packet and MATLAB multiple index fitting tools, obtains tetra- states of WLAN respectively Duration probability density function it is as follows：
    In formula (4), λ1And λ2The respectively parameter of multiple index distribution, a and b are respectively the weighted value of multiple index distribution, wherein A+b=1, i are the identifier of tetra- states of WLAN, and wherein i ∈ { 1,2,3,4 }, 1 represents browsing web traffic state, and 2 representatives regard Frequency service condition, 3 represent downloading service state, and 4 represent idle state, multiple by collected WLAN data packet and MATLAB Exponential fitting tool obtains parameter value λ1、λ2And weighted value a, b；
    It is distributed according to multiple index, calculates tetra- state duration desired values of WLAN, calculation formula is as follows：
    Ti=∫0 ∞t*fi(t)dt (5)
    In formula (5), TiFor the duration of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }.
  4. The electromagnetic radiation Forecasting Methodology 4. a kind of WLAN based on business as described in claim 1 is averaged, in the step 3), It is characterized in that, the continuous time and its distribution that the stabilization probability of happening and step 2 obtained according to step 1 obtains, while according to WLAN tetra- The duty ratio of a state：Browse web traffic state duty ratio, video traffic state duty ratio, downloading service state duty ratio and Idle state duty ratio, calculates total duty ratio of WLAN, and calculation formula is as follows：
    In formula (6), piBrowsing web traffic is represented for the stabilization probability of happening of tetra- states of WLAN, wherein i ∈ { 1,2,3,4 }, 1 State, 2 represent video traffic state, and 3 represent downloading service state, and 4 represent idle state, TiFor continuing for tetra- states of WLAN Time, wherein i ∈ { 1,2,3,4 }, D1To browse web traffic state duty ratio, value 6.2%, D2For WLAN video traffics State duty ratio, value 64.53%, D3For WLAN downloading service state duty ratios, value 65.18%, D4For WLAN idles State duty ratio, value 0.6%, TtotallFor total time.
  5. The electromagnetic radiation Forecasting Methodology 5. a kind of WLAN based on business as described in claim 1 is averaged, in the step 4), It is characterized in that, maximum electromagnetic radiation intensity is measured using spectrum analyzer, with reference to the total duty ratio for the WLAN that step 3 obtains, Prediction WLAN is averaged electromagnetic radiation intensity, and formula is as follows：
    E in formula (7)avgRepresent average electromagnetic radiation intensity, unit V/m, EmaxRepresent the maximum electromagnetic radiation intensity of WLAN, Its unit is V/m, is measured and obtained under " maximum is kept " pattern by frequency spectrograph, D represents total duty ratio of WLAN.
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JP2017038284A (en) * 2015-08-11 2017-02-16 日本電信電話株式会社 Radio environment estimation method, radio environment estimation device and radio environment estimation program
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