Performance Measurement Model of Multi-Source Data Fusion Based on Network Situation Awareness

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1 Leag GUO agx CHEN Chao GAO We XIONG Huazhog Uversty of Scece ad Techology Ar orce Radar Acadey Perforace Measureet Model of Mult-Source Data uso Based o Networ Stuato Awareess Abstract. I order to solve the proble of the eergy optzato ad assesset wth stuatoal awareess perforace the wreless sesor etwor the fucto odel s proposed based o the potetal relatoshp betwee the tred of evets ad tred assuptos. Research fro data tegrato correlato aalyss evets ad predcto ethod ths paper aalyzes the ablty of the decso ode to obta ad process forato. It dervates the ult-sesor etwor stuatoal awareess perforace easureet forula tegrates etwor stuato eleet draws a tred calculato curve to acheve the etwor tred predcto. Experets show that the proposed ethod ca effectvely predct the future tred of the etwor the tred calculato results ad te seres aalyss results s better tha other etwor tred assesset algorths. Streszczee. Zapropoowao odel sec bezprzewodowe czuów bazuący a potecalych zależoścach ędzy treda zdarzea. Artyuł aalzue ożlwość decyz węzłów do realzac przesyłu forac. Esperyety potwerdzły że etoda pozwala a efetywe progozowae tredu. Model poaru ożlwośc weloźródłowe fuz daych bazuące a wedzy o bezprzewodowe sec czuów Keywords: Stuato Awareess Predcto Modellg Assesset Idex Perforace Metrcs. Słowa luczowe: progozowae seć bezprzewodowa czuów fuza daych Itroducto Wth the extesve applcato of coputer etwor ad expadg the etwor sze the structure of etwor s ore ad ore coplex. The proble of the etwor aageet techology s gradually revealed. Usg a sgle etwor techology to etwor aageet has bee uable to eet the requreet of etwor so the stuatoal awareess cae to beg[]. Data fuso as a ey techology s a hot topc of the recet research whch as to reduce the cogtve burde o the etwor prarly through the tegrato the prary data o the bass of forato provded by the etty level slar forato aggregato forato extracto ad deepseated target gradually dvded to a cluster of hgher abstracto levels. Mult-source forato fuso ad target recogto s to support decso-ag wth the coprehesve utlzato of coputer forato processg ad artfcal tellgece techology. I ultsource forato fuso Mult-source forato fuso ad coprehesve recogto wll ae full use of resources doate by a varety of observatoal reasoable ad copleetary forato ad redudat forato space ad te ad produce the cosstecy of the observed evroet explaato or descrpto of fuso results based o soe optzato Crtera[-4]. The result s the separato of varous data sources to obta observatoal forato ad export ore effectve forato through the optal cobato. The etwor stuato awareess s to evaluate syste dyac respose the etre etwor to predct the future developet treds ad provde a relable referece. The future sesor etwors eed to collect ad tegrate a large aout of forato qucly ad effectvely. The face requreets of a large quatty of dese ult-source forato processg have bee gve the hgher level to provde accurate ad relable target trac the credblty of target attrbute. Wth the eural etwor to the etwor securty stuato value forecast the eural etwor algorths rely aly o eprcal rs zato prcple easly leads to the geeralzato ablty reducg ad the odel structure s dffcult to detere. Networ stuatoal awareess durg the real-te ole predcto syste ths shortcog of the eural etwor has bee further elarged. Effectve way to avod the probles faced by the above algorth support vector regresso algorth to predct the absolute error s sall forecastg the correct tred rate ca accurately predct the developet tred of the etwor tred. Copared wth RB eural algorth the ore coducve value s of real-te etwor tred predcto aalyss. The Proble Descrpto ad Model Collecto to set the etwor target of a oet accordg to the status forato for each of the target collecto the varous obectves s dvded to ultple dsot cluster descrbed atheatcal laguage that s too for a partto of the collecto [5]. Where each set correspods to a cluster the target set by the uber of clusters. The characterstcs of atrx represetato f f f the physcal characterstcs of each copoet has each of the target. The obectve stuato of the etwor at the oet etwor t the f f t f t f Eleets t the feature vector to the target locato type Q Q Q speed ad other features. Mae Q to produce the qualty of the forato the forato vectors varous processes s characterstcs of cyber Q.The forato feld has three sub-doas: the sesor sub-doas the tegrato sub-doa ad the coucato etwor sub-doa as show gure each sub-doa coverso ca be used to descrbe the codtoal probablty[6]. Q Sesor collecto Q Data uso Networ Q Q Q Q g.. The Data Doa Model Q PRZEGLĄD ELEKTROTECHNICZNY Electrcal Revew ISSN -97 R. 88 NR 7b/ 5

2 Sesor sub-doa: Q Q Itegrato of sub-doa: Q Q Q Q Coucato sub-doa: Q Q Q Sesor Sub-doa Aalyss Model Copleteess Obectve etwor based te t the uber M N s foud target fro the codtoal probablty N M PM Rd P M s the probablty of the target s ot obscured Rd s the perforace fucto of detecto rage d. The copleteess of the etrc as follows: Q co NM PM R d R s characterstc of sesor s the Correctess If total uber report the practcal features s estated to: R.Based estato A E s true character value. estate the devato of the characterstcs A s to the r A correctess easure: Q cot e Teless Located fro the sesor to detect the te betwee the reports of the recever sesor fuso doa s t t s. The teless etrc s: Qcut e Itegrato of the Sub-doa Aalyss Model Copleteess The tellgece source the copleteess of the fuso ceter processg t follows c a e a expresses sesor tself whch s tegrate part of the target detecto accouts percetage. a ; a s dcatg that the fuso cetre ca carry out sub-class part of the percetage of the axu detecto pots. a ; s class speed. c s the tellgece source copleteess of c s the facltes the processg the fuso ceter c cetral fuso target detecto report copleteess relablty theory ca be coplete tegrato of sub doas easure: Qco c c c v Correctess a e whch V s the tegrato of forato o the feature varace dcats the relatve portace of weghts s weght the relatve portace s the tegrato of forato correctess a. Itegrato sub-doa correct etrc: Qcot W a Teless t f s tegrato of forato resultg the te requred by the teless etrc: Q e y cut Coucato Networ Sub-doa Model Copleteess Set p to forato receved fro the fuso facltes probablty s the uber of users. Assug the depedece the probablty of recevg the forato wthout ay costrats to coplete etwor: Qco N p. Correctess Set all users get the correct probablty Pr of tred forato. Pr s the cetral tegrato of the ot probablty. s correct probablty: tred forato Pr P P P. P s correctly receved fro the cetral fuso faclty.it depeds o the cetral tegrato of the relablty of the coucato etwor betwee facltes ad user. P s correct trassso probablty. The correctess of coucato etwor sub-doa easure: Qcot Pr P p. Teless Set t the average trassso delay t etwors teless etrc Q cut e. Perforace Metrcs betwee Stuato Awareess Coectos of the stuato ad treds represet depedeces betwee odes. If the stuato ode S s depedet aog the phase syste t ca use the layer tree structure to represet the relatoshp betwee the odes of stuato. Bel s Bel.The coecto betwee the stuato ode tree etwors ca be see as a sgle set of eleets based o herarchcal assuptos. Assue that the evdece cae fro the evet drect effect o the tred of ode S the rato: P e S / P e S reflects the extet of the evdece e to support the stuato S. After evdece the cofdece of the tred odes s updated as follows: Bel' s Bel S.The oralzato factor: [ Bel S Bel S ]. Update the ode degree of cofdece; S spread the followg essage to ts eghborg ad the paret ode: Bel' S S descedats of ode such as Z the cofdece level of the paret ode X ad the brother ode Y are updated as follows: Bel' S Bel' Z Bel' X [ Bel X Bel S] Bel' Y Bel Y Update the cofdece of the ode X the ts paret ode spread the ews: ' Bel' X ' The coecto betwee the stuato odes ca be see as the level etwor evdetal reasog algorth ca be appled to ult-level assuptos. The ablty to ultsesor etwor of cooperato effect s the ey to prove cooperato after the stuatoal awareess of decsoag ode. Stuatoal awareess refers to the varous eleets of the evroet wth a specfc te ad s 6 PRZEGLĄD ELEKTROTECHNICZNY Electrcal Revew ISSN -97 R. 88 NR 7b/

3 space percepto uderstadg ad predcto of the eleets of eag eleets state. It s the tegrato of the results of the curret copreheso the prevous decso-aers the owledge experece ad the actual stuato. The results of the stuatoal awareess of decso aers s ot oly related wth the tred of the aout of forato receved so the decso aers ablty to uderstad. Therefore the stuatoal awareess of the decso ode cludes the ablty to obta forato ad forato processg capabltes of the decso ode. Suppose the etwor of cooperato decso-ag ode stuatoal awareess effectveess of ts forato retreval perforace ad forato processg perforace s proportoal to the product that: U U acq U awa U s the decso ode the cooperatve etwor perforace U acq s the perforace of stuatoal awareess ad forato of the decso ode U awa s the decso odes the forato processg perforace the three fuctos are cotuous fucto of te t. U acq ad U awa wll be quattatve aalyss. Before aalyss t s ecessary to do the followg four basc assuptos. The Desg of Predcto Model ad Dyac Coprehesve Evaluato Method Stuatoal awareess syste operates real-te ole. Each processg data collecto te terval calculates the value of etwor securty posture to for a te seres data sets. The predcto odel frst oralzed data set recetly for a fxed perod of te data o ths bass costruct the saple data saple data s dvded to N -desoal vector. Predct the fucto of the frst - desoal put vector after the -desoal output vector N a set of costtutes a trag data. The talze the odel trag paraeters through the forato of the trag data to tra the predcto odel. requet data collecto refers to the frequecy exceeds a certa threshold of data the data set. Suppose a collecto of data for the uber of data tes N ad support gve s all occurreces of ore tha a data te s N s called frequet te. Mg frequet data collecto has a wde rage of applcatos the areas of database data g ad etwor. Mg data streas frequetly s a challegg proble. Ulted features of the data strea the algorth ca oly sca data aga. By aga scag the data strea to calculate the precse frequecy storage space O M M s the collecto of all the dfferet values the data strea ay be fte. Thus accurate g frequet te the data strea s usually possble. Therefore t s focused o g frequet data strea approxato algorths[7-8]. Mg data streas frequetly approxato algorth s characterzed by oe pass usg oly a sall storage space query results although the real results of the algorth s a approxato but the algorth ca guaratee the error betwee the approxate query results ad actual results does ot exceed the user-specfed terval rage. The desg dea of the algorth s as follows: Assue that the degree of error u ad support s these two values are tae to accout specfed. S s gve whe query s ssued t ca be u to ay value. The algorth save the data strea / u saples alog wth the cotuous arrval of the data strea data dyacally to the prcple of atag the saple collecto. 4 Whe the query support S s frequet the algorth uses the saple collecto gves the approxate results ad provde aalyss of use to the ext step. The algorth cludes the statstcal aalyss ad query processg o. Whe the data strea of the arrval of ew data statstcal aalyss algorth s resposble for atag the saple set D ; Whe a user aes frequet te queres query processg algorth s resposble for output query results. Before predcto frstly data cleag aalyss data trasforato ad the statute of pre-processg step to prove the accuracy of the forecastg process effectveess ad scalablty[9]. Predcto ethods ca copare ad evaluate wth accuracy speed robustess type scalablty ad terpretablty crtera. I order to further prove the predcto accuracy t eeds to assess the accuracy of the predctor. Assesset s based o the rado dvso of the accuracy of the gve data cooly uses techology to eep the rado sub-saple cross-valdato. Dyac Coprehesve Evaluato Method or three dfferet tes of the coprehesve evaluato such as the hstory status ad future t s ecessary to establsh the correspodg perod of the evaluato dex syste. Wthout loss of geeralty the evaluato of the dfferet groups ca be used each perod followed by x x x ad r ; ; o the s hstorcal perforace evaluato. O the te terval T the past t taes a dyac evaluato fucto as follows: u w r T Where w s the weghtg fucto w w u expressed the coprehesve evaluato value of s at the oet r s the evaluato of the value x at the oet T s a ow postve teger. Characterze the overall operato level of the syste s the te terval T s gve. y w r T Evaluato o t s status the whole te gve that the status syste T order to ru status of the s s s to dstgush by the Scatter ethod to detere the weght coeffcet the oet PRZEGLĄD ELEKTROTECHNICZNY Electrcal Revew ISSN -97 R. 88 NR 7b/ 7

4 T the status quo s represeted by the followg forula: y r T The evaluato of the developet tred t ae N approprate ow costats the ext te terval T T N f the evaluato of s the expected average x or r whe the future developet tred s ca be used y r s the correspodg weght coeffcet. 4 Dyac Coprehesve Evaluato. The syste s set Hstory status future oe of the dyac value of coprehesve evaluato by the followg forula s gve * by: y y y. Respectvely where * y s the deal value y or * y ax{ y } s gve the rght weght coeffcet advace ad accordg to the value y of sall to large to be sorted or classfed order to acheve syste dyac s s s evaluato purposes. Experetal Results OPNET optzato Networ Egeerg Tool s of etwor perforace sulato aalyss tool that ca be used to desg ad sulato of etwor protocols ad the establshet of local ad wde area etwor odel. OPNET Modeller ca tegrate the etwor syste forato etwor group to buld a varety of data ls wreless coucato etwors ad wreless sesor etwors subets ad sulato experets. I g. ad g. t s the experetal results respectvely uder hgh load the large-scale case ad oral crcustaces. g.. The Predcto Result the Networ Accordg to the sulato uder oral crcustaces It ca see the perforace of the syste sulato fve utes before rug low aly due to the l betwee the varous etwor groups etworg etwor groups ad etwor groups to establsh the start of each ut; after a perod of war-up the syste gradually stablzed the cobed effectveess stuato forato ad tactcal forato curve lght Mcro-shocs the perforace of tred forato due to the lted dstrbuto of the syste or etwor cogesto dstrbuto capabltes to reduce. Decle the hgh-load large-scale case the syste perforace t creases war-up evet ad stuato forato Iforato ad coad ad cotrol forato shocs. The coparso of both experetal cases the forato resource evaluato ethod has a certa sestvty ad ratoalty order to better valdate the ethod. The correctess of ths paper buld a sulato evroet based o the tegrated etwor operatos syste the sae etwor sze. Through the oralzed average perforace t copared to the results of the assesset of the forato resource evaluato ethod ad the classc ethod such as the experetal results g. g..the Error coparso of algorth ro the experets the equvalet of etwor sze ad the uber of uts respectvely the average perforace of the forato resources s assessed; the dfferet ways to get the results s oralzed. ro the experetal results t calculates the proposed forato resource assesset ethodologes close to the results wth the results calculated by the classcal the ethods dcatg that the ethod s effectve. ro the experet the proposed ethod s better the geeral case classc ethod. The reasos of ths pheoeo s aly to further ehace the syergy of collaborato capabltes the forato ga ad the cobat uts the syste s the ext step s to be solved. Experets show the syste costructo ethod s reasoable the perforace of ts forato resources s cosderable but also llustrates ts forato resources evaluates the correctess ad valdty of the ethod. Cocluso Networ stuatoal awareess syste as a ew feld of study has very portat sgfcace to prove the eergecy respose capacty of the etwor. May experts ad research sttutos have bee sgfcat research ths feld ad try stuatoal awareess for the large-scale etwor. O the bass of the aalyss of syste fuctoal requreets ult-source sesor etwor ad stuatoal awareess syste ad t gves the detaled syste-level coceptual odel ad all levels of fuctoal ettes desg. Therefore how to reduce the aout of coputato crease calculato speed s stll curret eed to solve the 8 PRZEGLĄD ELEKTROTECHNICZNY Electrcal Revew ISSN -97 R. 88 NR 7b/

5 proble. Massve real-te processg of etwor data stuato assesset ad predcto of the accuracy tred vsualzato ad other aspects also eed to ae a logter ad etculous research. I addto t s clear fro the overall level the level of copoets ad copoet relatoshps to gude egeerg practce ad the ey techology to further develop reducto algorth of stuato assesset dex syste. REERENCES [] Scholtz J.C.Atoshe B.Youg J.D. Ipleetato of a stuato awareess assesset tool for evaluato of huarobot terfaces.ieee Trasactos o Systes ad Huas [] Roa RLopez J Grtzals S.Stuato awareess echass for wreless sesor etwors.coucatos Magaze [] Ellerbroe J Vsser Mva Da S.B.JMulder Mva Paasse M.M.Desg of a Arbore Three-Desoal Separato Assstace Dsplay. IEEE Trasactos o Systes ad Huas [4] Yoga Zhag Qag J.Effcet Sesor Selecto for Actve Iforato uso. IEEE Trasactos o Cyberetcs [5] Holsopple J Sudt M Nusov M Lu DHatao DuShacheh Yag. Ehacg stuato awareess va autoated stuato assesset. Coucatos Magaze 46-5 [6] Ellerbroe JVsser Mva Da S.B.JMulder Mva Paasse M.M. Desg of a Arbore Three-Desoal Separato Assstace Dsplay.IEEE Trasactos o Systes ad Huas [7] Pederso T Jalert L.-ESure D. A Stuatve Space Model for Moble Mxed-Realty Coputg.Pervasve Coputg [8] Aagostopoulos C Hadefthyades S.Ehacg Stuato- Aware Systes through Iprecse Reasog.IEEE Trasactos o Moble Coputg [9] Valera M Velast S.AElls Aerrya J.Coucato Mechass ad Mddleware for Dstrbuted Vdeo Survellace.IEEE Trasactos o Crcuts ad Systes for Vdeo Techology Authors: dr Leag Guo a Seor IEEE eber the departet of cotrol scece ad egeerg Huazhog Uversty of Scece ad Techology Wuha 474 Cha. E-al: radar_boss@6.co. Prof agx Che the departet of Early Warg Survellace Itellgece Ar orce Radar Acadey Wuha49 Cha. E-al:pxal@s.co. dr Cao Gao the departet of cotrol scece ad egeerg Huazhog Uversty of Scece ad Techology Wuha 474 Cha. E- al: leezbaby@6.co. dr We Xogthe departet of cotrol scece ad egeerg Huazhog Uversty of Scece ad Techology Wuha 474 Cha. E-al: xogwe@6.co. PRZEGLĄD ELEKTROTECHNICZNY Electrcal Revew ISSN -97 R. 88 NR 7b/ 9