TEHNOLOGIJE
SADAŠNJOST I BUDUĆNOST
Urednik
Božo Krstajić
ŽABLJAKXXII
međunarodni naučno - stručni skup
IT'17
INFORMACIONE
TEHNOLOGIJE
-
SADAŠNJOST I BUDUĆNOST
-
Urednik
Božo Krstajić
Zbornik radova sa XXII međunarodnog naučno - stručnog skupa
INFORMACIONE TEHNOLOGIJE - sadašnjost i budućnost
Zbornik radova
INFORMACIONE TEHNOLOGIJE - sadašnjost i budućnost 2017
Glavni urednik Prof. dr Božo Krstajić
Elektrotehnički fakultet Univerziteta Crne Gore
Izdavač
Univerzitet Crne Gore Elektrotehnički fakultet Džordža Vašingtona bb., Podgorica
www.etf.ucg.ac.me
Tehnička obrada Aleksandra Radulović
Centar informacionog sistema Univerziteta Crne Gore Doc. dr Žarko Zečević
Elektrotehnički fakultet Univerziteta Crne Gore Ivan Jokić
Elektrotehnički fakultet Univerziteta Crne Gore
Tiraž 150 Podgorica 2017.
Organizator
Elektrotehnički fakultet, Univerzitet Crne Gore
Suorganizator
BIO-ICT Centar izvrsnosti
Skup podrža
o
Programski
odbor
Dr Novak Jauković, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Ljubiša Stanković, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Zdravko Uskoković, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Vujica Lazović, Ekonomski fakultet, UCG, Podgorica, MNE
Dr Branko Kovačević, Elektrotehnički fakultet, UB, Beograd, SRB Dr Milorad Božić, Elektrotehnički fakultet, UBL, Banja Luka, RS BIH Dr Miroslav Bojović, Elektrotehnički fakultet, UB, Beograd, SRB Dr Zoran Jovanović, Elektrotehnički fakultet, UB, Beograd, SRB Dr Božidar Krstajić, Elektrotehnički fakultet, UIS, I. Sarajevo, BIH
Dr Milica Pejanović-Đurišić, Elektrotehnički fakultet, UCG, Podgorica, MNE
Dr Despina Anastasiadou, Research & Development Innovation Academy, Solun, GRC Dr Dejan Popović, Elektrotehnički fakultet, UB, Beograd, SRB
Dr Gabriel Neagu, National Institute for Research & Development in Informatics, Bucharest, ROU Dr Božo Krstajić, Elektrotehnički fakultet, UCG, Podgorica, MNE
Dr Tomo Popović, Fakultet za informacione sisteme i tehnologije, UDG, Podgorica, MNE Dr Milovan Radulović, Elektrotehnički fakultet, UCG, Podgorica, MNE
Dr Le Xie, Texas A&M University, College Station, TX, USA Dr Sašo Gelev, Elektrotehnički fakultet, UGD, Radoviš, MKD
Dr Budimir Lutovac, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Zoran Veljović, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Igor Radusinović, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Alex Sprintson, Texas A&M University, College Station, TX, USA Dr Nikša Tadić, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Miloš Daković, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Milutin Radonjić, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Ana Jovanović, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Vesna Rubežić, Elektrotehnički fakultet, UCG, Podgorica, MNE
Dr Biljana Stamatović, Fakultet za informacione sisteme i tehnologije, UDG, Podgorica, MNE Dr Ramo Šendelj, Fakultet za informacione sisteme i tehnologije, UDG, Podgorica, MNE Dr Stevan Šćepanović, Prirodno-matematički fakultet, UCG, Podgorica, MNE
Organizacioni
odbor
Dr Božo Krstajić,Elektrotehnički fakultet, UCG, Podgorica, MNE - Predsjedavajući konferencije Dr Milovan Radulović, Elektrotehnički fakultet, UCG, Podgorica, MNE - Finansijski rukovodilac konferencije
Dr Zoran Veljović, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Ana Jovanović, Elektrotehnički fakultet, UCG, Podgorica, MNE Dr Saša Mujović, Elektrotehnički fakultet, UCG, Podgorica, MNE
Dr Tomo Popović, Fakultet za informacione sisteme i tehnologije, UDG, Podgorica, MNE - Rukovodilac izdavačke djelatnosti
Dr Žarko Zečević, Elektrotehnički fakultet, UCG, Podgorica, MNE - Tehnički rukovodilac konferencije Vladan Tabaš, dipl.ing., Čikom, Podgorica, MNE
Aleksandra Radulović, CIS UCG, Podgorica, MNE - Kontakt za informacije
Ivan Jokić, Elektrotehnički fakultet, UCG, Podgorica, MNE - Kontakt za informacije Amar Kapić, Elektrotehnički fakultet, UCG, Podgorica, MNE - Kontakt za informacije
P R E D G O V O R
Poštovani učesnici i čitaoci,
Iza nas je jedna od uspješnijih konferencija “INFORMACIONE TEHNOLOGIJE – sadašnjost i budućnost” (IT’17) održana od 27. februara do 04. marta 2017. godine na Žabljaku, a ovo je zbornik radova. Programski odbor i recenzentski tim je izvršio selekciju kvalitetnih radova koji su prezentovani na konferenciji i publikovani ovdje, a najbolji će biti prošireni i objavljeni u časopisu Elektrotehničkog fakulteta Univerziteta Crne Gore u Podgorici ("ETF Journal of Electrical Engineering"). Zahvaljujući vama, dragi autori, iz godine u godinu podižemo kvalitet radova koji su sadržani u ovom zborniku, a prvi put smo sponizorisni i od strane IEEE asocijacije.
Pred vama su 72 autorska rada, prezentovana u 11 sekcija, i sažeci 5 predavanja po pozivu koja su realizovana u plenarnom dijelu programa. Radovi, teme i predavači su birani po kvalitetu kao i tematici sadržaja kako bi konferencija razmatrala aktuelne momente u razvoju ICT-a, a šira stručna javnost i svi zainteresovani su bili u prilici da prate dešavanja na Skupu preko videolinka.
Organizator je registrovao oko 170 učesnika širom regiona i Evrope, 100 studenata sa sva 3 crnogorska univerziteta i veliki broj prisutnih i online posjetilaca (po našoj procjeni oko 100). Konferencija je bila dobro medijski ispraćena i podržana od državnih institucija, lokalne samouprave i velikog broja ICT kompanija.
Konačno, i Durmitor je svojim čarima i vremenskim uslovima omogućio svim učesnicima da u potpunosti uživaju u njegovim ljepotama i pružio nezoboravne utiske prirode ovog kraja. Ono što se moglo osjetiti je jedan zajednički duh i sinergija koje su nas vezivali svih 5 dana i nadahnuli novom snagom i voljom za radom i budućim druženjima. Organizator se nada da svi učesnici dijele naše mišljenje da je ovo jedan od najboljih (ako ne najbolji) IT u posljednjih 10 godina. To nas obavezuje da sljedeći IT bude bar kao ovaj, uz dodatni kvalitet, nove teme, nove ljude, nove akcije i isti duh konferencije.
Sve detalje o ovom, prošlim i narednom skupu možete naći na web adresi konferencoije www.it.ac.me.
I
SADRŽAJ
PREDAVANJA PO POZIVU
Др Синиша Влајић
Развој софтверских компоненти заснован на генератору кода и софтверским патернима
The Development of Software Components Based on the Code Generator and Software Patterns ... 1 Др Душан Савић
Развој софтвера заснован на моделу случајева коришћења и MDD приступу
Model аnd Use Case Driven Software Development Process ... 2 Др Илија Антовић
Аутоматско генерисање корисничког интерфејса засновано на случајевима коришћења – SilabUI приступ
Automatic User Interface Generation Based on Use Cases – The SilabUI approach ... 3 Dr Saša D. Lazarević
Razvoj C# Cross-Platform aplikacija upotrebom .NET Core 1.0
C# Cross-Platform Applications’ Development using .NET Core 1.0 ... 4 Tomislav B. Šekara
SAVREMENE METODE PROJEKTOVANJA INDUSTRIJSKIH SISTEMA AUTOMATSKOG UPRAVLJANJA
MODERN DESIGN METHODS OF INDUSTRIAL AUTOMATIC CONTROL SYSTEMS ... 5
AUTORSKI RADOVI
Amar Kapić, Žarko Zečević, Milovan Radulović and Božo Krstajić
A VARIABLE STEP SIZE PERTURB AND OBSERVE ALGORITHM FOR
MAXIMUM POWER POINT TRACKING ... 6 Sreten Ćorić
PRIMJER IMPLEMENTACIJE PRIVATNOG CLOUD RJEŠENJA
EXAMPLE OF THE IMPLEMENTATION OF PRIVATE CLOUD SOLUTION ... 10 Milan Zejak, Milovan Radulović
HIBRIDNI KONCEPT SMART HOME SISTEMA
AN EXAMPLE OF A HYBRID SMART HOME SYSTEM ... 14 Igor Miljanić
CA SISTEM KABLOVSKIH TELEVIZIJA – MEHANIZAM KONTROLE I MONITORING CA SYSTEM WITHIN CABLE OPERATED PROVIDERS - A MECHANISM OF CONTROL
II
Vladimir Radulović, Milovan Radulović
LED RASVJETA TUNELA PRIMJER TUNEL BUDOŠ NA PUTU PODGORICA NIKŠIĆ TUNNEL LIGHTING WITH LED EXAMPLE OF ROAD TUNNEL BUDOŠ ALONG ROAD
PODGORICA-NIKŠIĆ.... ... 22 Ivan Jokić, Žarko Zečević, Zdravko Uskoković, Milovan Radulović, Božo Krstajić
A NEW METHOD FOR SYNCHROPHASOR ESTIMATION... 26 Ivan R. Bulatović, Vladan M. Radulović
DEVELOPMENT OF COMBINATION WAVE GENERATORS FOR SIMULATION OF A
LIGHTNING SURGES IN LOW-VOLTAGE AC POWER CIRCUITS ... 30 Milutin Ostojić, Martin Ćalasan
UTICAJ PLANIRANOG 400KV DALEKOVODA ČEVO - PLJEVLJA, NA DIONICI KROZ OPŠTINU ŽABLJAK, SA ASPEKTA ELEKTRIČNOG I MAGNETNOG POLJA
IMPACT OF 400KV TRANSMISSION ČEVO-PLJEVLJA, AT SECTION THROUGH THE
MUNICIPALITY OF ZABLJAK, FROM THE ASPECT OF ELECTRIC AND MAGNETIC FIELDS ... 34 Milan Kočović, Zoran Miljanić, Ilija Vujošević
USE OF DYNAMIC PROGRAMMING FOR SHORT-TERM HYDRO-THERMAL
COORDINATION ... 38 Mladen Mitkovski, Vlatko Cingoski, Sašo Gelev
PERFORMANCE MODELLING OF PV ARRAYS UNDER SPECIFIC WORKING CONDITIONS ... 42 Boris Miljanić, Martin P. Ćalasan, Vladan Vujičić
DETERMINATION OF INDUCTION MACHINE PARAMETERS BY USING PARTICLE SWARM OPTIMIZATION WITHOUT CONSIDERING IRON LOSSES ... 46 Aleksandar Dedić
JEDAN PRIMJER KONTROLE INVERTORA NAPONA KORIŠĆENJEM MIKROKONTROLERA ONE EXAMPLE OF VOLTAGE INVERTER CONTROL USING A MICROCONTROLLER ... 50 Jelena Končar, Sonja Leković, Zita Petrović Katai
E-GOVERNMENT AS A BUSINESS MODEL OF ECOMMERCE IN THE
REPUBLIC OF SERBIA ... 54 Tatjana Stanivuk
IMPLEMENTACIJA E-UÈENJA U POMORSTVU
IMPLEMENTATION OF E-LEARNING IN MARITIME AFFAIRS ... 58 Marina Matijević, Ramo Šendelj
UNAPREĐENJE ICT INFRASTRUKTURE OBRAZOVNOG SISTEMA CRNE GORE PRIMJENOM CLOUD COMPUTING-A
USING CLOUD COMPUTING IN THE EDUCATION SYSTEM OF MONTENEGRO ... 62 Marina Matijević, Ivana Ognjanović
ZAŠTITA PODATAKA U OBRAZOVNOM SISTEMU CRNE GORE UPOTREBOM OPENPGP STANDARDA
DATA PROTECTION IN THE EDUCATIONAL SYSTEM OF MONTENEGRO USING OPENPGP STANDARD ... 66
III
Nataša Popović, Aleksandra Radulović, Isidora Rovčanin Dragović, Oleg Cmiljanić, Sehija Dizdarević IMPACT OF WEB - BASED LEARNING MENAGEMENT SYSTEMS ON EDUCATION AT THE FACULTY OF MEDICINE IN PODGORICA, MONTENEGRO ... 70 Ana Grbović
ICS IN THE HPP PERUCICA AS A NATIONAL CRITICAL INFRASTRUCTURE ... 74 Vladimir Bigović, Sandra Đurović, Snežana Šćepanović
TESTIRANJE UPOTREBLJIVOSTI GRAFIČKOG KORISNIČKOG INTERFEJSA OPERATIVNIH SISTEMA ZA MOBILNE UREĐAJE
USABILITY TESTING OF GRAPHICAL USER INTERFACE FOR MOBILE OPERATING
SYSTEMS ... 78 Sanja Bauk, Tatijana Dlabač
O NEKIM ICT RJEŠENJIMA ZA POVEĆANJE BEZBJEDNOSTI NA RADU U INVAZIVNIM OKRUŽENJIMA
ON SOME ICT SOLUTIONS FOR INCREASING SAFETY AT WORK IN INVASIVE
ENVIRONMENTS ... 82 Stanko Janković, Biljana Stamatović
AUTOMATED CLASSIFICATION OF WEB APPLICATION PARTS FROM A BLACKBOX
SECURITY TESTING PERSPECTIVE ... 86 Marko Č. Bošković, Tomislav B. Šekara, Milan R. Rapaić, Vidan Govedarica
TUNING RULES OF PI/PID CONTROLLERS WITH ROBUSTNESS CONSTRAINT FOR
INDUSTRIAL PROCESSES WITHOUT DEAD - TIME ... 90 Ivica Vuković
SISTEMI ZA NAPAJANJE I HLAĐENJE GREEN DATA CENTRA
GREEN DATA CENTER POWER AND COOLING SISTEMS ... 94 Snežana Šćepanović, Ivan Mraković
BARRIERS TO ADOPTION AND SUCCESS OF SCRUM IN PRACTICE ... 98 Bojana Tošić, Dragan Đurić, Radovan Sekulić, Jelena Simićević
CLOUD COMPUTING SOLUTIONS FOR HEALTHCARE SYSTEM IN ME: CHALLENGES AND ISSUES ... 102 Jurica A. Žarković
OSVRT NA KONTINUIRANI MONITORING GLIKEMIJE KOD PACIJENATA SA DIJABETESOM
REVIEW OF THE METHODS OF CONTINUOUS MONITORING OF BLOOD GLUCOSE IN
PATIENTS WITH DIABETES ... 106 Jelena Badnjar, Nataša Popović, Miroslav Radunović, Tomo Popović
RETINAL BLOOD VESSEL SEGMENTATION: DIJKSTRA FOREST AND MULTI – SCALE
LINE DETECTION METHODS ... 110
Milija Bajčeta, Petar Sekulić, Slobodan Djukanović
RETINAL BLOOD VESSELS SEGMENTATION USING NEURAL NETWORKS AND
IV
Salko Kovačić, Emina Ðulić, Admir Šehidić
IMPROVING THE SECURITY OF ACCESS TO NETWORK RESOURCES USING THE 802.1X
STANDARD IN WIRED AND WIRELESS ENVIRONMENTS ... 118 Armin Lucević, Lejla Taraniš
THE USE OF INFORMATION TECHNOLOGY IN THE HEALTHCARE SYSTEMS,
CASE OF SERBIA ... 122 Arsenije Maliković, Dragan Filipović, Budimir Lutovac
PROJEKTOVANJE SPREGNUTIH MIKROTRAKASTIH VODOVA
DESIGN OF COUPLED MICROSTRIP LINES ... 126 Dragan Filipović, Vladan Durković
POTENCIJAL, ELEKTRIČNO POLJE I PODUŽNA KAPACITIVNOST TANKOG LINIJSKOG PROVODNIKA U UGLU IZMEĐU DVIJE ZEMLJENE PROVODNE POLURAVNI
POTENTIAL, ELECTRIC FIELD AND CAPACITANCE OF A THIN LINE CONDUCTOR
IN AN ANGLE BETWEEN TWO GROUND HALFPLANES ... 130 Teodora S. Veljović, Boban P. Bondžulić, Ljubiša D. Tomić, Bojan Č. Milanović, Rade M. Pavlović
ODREĐIVANJE ŠIRINE I DIVERGENCIJE LASERSKOG SNOPA
LASER BEAM WIDTH AND DIVERGENCE MEASURING ... 133
Luka Lazović, Vesna Rubežić, Ana Jovanović
CPW NAPAJANA MIKROTRAKASTA MONOPOL ANTENNA ZASNOVANA NA MODIFIKOVANOM SIERPINSKI FRAKTALU
CPW FEEDED MICROSTRIP MONOPOL ANTENNA BASED ON
MODIFIED SIERPINSKI FRACTAL ... 137
Ana Perošević, Ivana Milašević, Danijela Joksimović, Dragana Drakulović, Dijana Đurović, Slavka Stanković
PHYSICAL-CHEMICAL PARAMETERS AND PHYTOPLANKTON IN
BOKA KOTORSKA BAY ... 141
Mandić Milica, Gvozdenović Slađana, Joksimović Aleksandar, Pešić Ana
CONDITION OF CULTURED SEA BASS AND SEA BREAM AND OCCURRENCE OF THEIR
SPAWNING IN THE CAGES IN BOKA KOTORSKA BAY ... 145
Marko Nikolić, Slađana Gvozdenović, Sergey Kholodkevich, Tatiana Kuznetsova, Anton Kurakin
VALVE MOVEMENTS IN BIVALVES AS A BEHAVIORAL BIOMARKER ... 149
Nikola Bulatović, Nikola Žarić, Ana Pešić, Mirko Ðurović, Trifun Savić, Aleksandar Joksimović REAL-TIME MEASUREMENTS ANALYSIS OF SEAWATER PHYSICAL PARAMETERS WITH SEMAR BUOY SYSTEM ... 153
Elma Hot, Balša Bajagić
ANOMALY DETECTION AND PREPROCESSING OF SOIL DATABASE OF
MONTENEGRO ... 157
Trifun Savić, Balša Bajagić, Mirko Knežević, Milutin Radonjić
METHOD FOR MEASURING RELEASED AMOUNT OF WATER IN SMART
V
Nikola Bulatović, Tanja Vukićević, Rabina Šabotić, Vanja Asanović
MEASUREMENTS CALIBRATION ANALYSIS OF NOVEL IOT PLATFORMS ... 165
Gojko Gogić, Slavica Tomović, Igor Radusinović,
IMPLEMENTATION AND PERFORMANCE EVALUATION OF OPENFLOW DATA-CENTRE NETWORK TESTBED ... 169
Božidar Škrbić, Slobodan Đukanović
A BRIEF OVERVIEW OF IOT ARCHITECTURE AND WEB PLATFORMS ... 173
Žarko Zečević, Tomo Popović, Božo Krstajić
CLOUD BASED SOLUTION FOR AUTOMATIC IMAGE MOSAICKING
AND GEOREFERENCING ... 177
Nikola Žarić, Boban Melović, Miomir Jovanović
ONLINE PROMOCIJA POLJOPRIVREDNIH PROIZVODA: STUDIJA SLUČAJA BIOPORTAL.ME
ONLINE PROMOTION OF AGRICULTURAL PRODUCTS:
CASE STUDIES BIOPORTAL.ME ... 181
Petar Sekulić, Milija Bajčeta, Slobodan Djukanović
RETINAL BLOOD VESSELS SEGMENTATION USING SUPPORT VECTOR MACHINE AND MODIFIED LINE DETECTOR ... 185
Miljan Bigović, Žarko Zečević, Luka Filipović, Božo Krstajić
KOMPARACIJA RAČUNARSKOG MODELA MOLEKULA SA EKSPERIMENTALNIM REZULTATIMA
COMPARISON OF COMPUTER MODEL OF MOLECULE WITH EXPERMINTAL
RESULTS ... 189 Bojan Đaković, Budimir Lutovac
KEY PERFORMANCE INDICATORS VISUALIZATION THROUGH “BIMP” APPLICATION ... 193
Ivan Mraković
KVALITATIVNA KOMPARATIVNA ANALIZA VODOPADNOG, SPIRALNOG I SCRUM MODELA RAZVOJA SOFTVERA
QUALITATIVE COMPARATIVE ANALYSIS OF WATERFALL, SPIRAL AND SCRUM
SOFTWARE DEVELOPMENT MODELS ... 197
Branko Džakula
VISOKOTEHNOLOŠKI (SAJBER) KRIMINAL I ANATOMIJA BEZBJEDNOSNIH RIZIKA U INFORMACIONOKOMUNIKACIONIM SISTEMIMA
CYBER CRIME AND ANATOMY OF SECURITY RISKS IN
INFORMATION-COMMUNICATION SYSTEMS ... 201
Katerina Cekova, Jasna Cekova, Sašo Gelev
HOME AUTOMATION SYSTEM CONTROL BASED ON SPEECH COMMANDS ... 205
Darko Naumovski, Sašo Gelev, Vlatko Cingoski and Biljana Petrevska
MALOLETNICKA RAČUNARSKA PORNOGRAFIJA U REPUBLICI MAKEDONIJI
VI
Vasiliy N. Kruglov, Andrey V. Chiryshev, Artem V. Kruglov
DEVELOPING OF THE SIMULATION SYSTEM TO MODEL THE FILLING LAYER OF
SPHERICAL GRANULATED PARTICLES ... 213
Aleksandar Tudzarov, Goce Stefanov, Sašo Gelev
NOVEL TECHNIQUE FOR AUTHENTICATION & ENCRYPTION IN NEXT GENERATION
NETWORKS ... 217
Zoran S. Veličković, Zoran N. Milivojević, Marko Z. Veličković
INSERTOVANJE VODENOG ŽIGA SKREMBLOVANOG GMSAT ALGORITMOM U DWT-SVD DOMENU
INSERTING THE WATERMARK SCRAMBLED BY GMSAT ALGORITHM IN DWT-SVD
DOMAIN ... 221
Rade M. Pavlović, Vladimir S. Petrović, Ljubiša D. Tomić
UPOREDNA ANALIZA MERA ZA DINAMIČKU PROCENU USPEŠNOSTI SJEDINJAVANJA VIDEO SEKVENCI
COMPARATIVE STUDY OG DYNAMIC MEASURES FOR VIDEO FUSION ... 225
Miloš Brajović, Miloš Daković, Ljubiša Stanković
A HIGHER ORDER TIME-FREQUENCY REPRESENTATION
WITH REDUCED CROSS-TERMS ... 229
Tamara Šević, Milenko Andrić, Boban Bondžulić, Dimitrije Bujaković, Dejan Ivković IZDVAJANJE OBELEŽJA RADARSKIH CILJEVA OBRADOM SPEKTROGRAMA
RADAR TARGETS FEATURE EXTRACTION USING SPECTROGRAM ... 233
Zoran Milivojević, Dijana Kostić, Zoran Veličković, Darko Brodić
PERFORMANCE OF THE SERBIAN MATRIX SENTENCE TEST IN PRESENCE
OF THE BABBLE NOISE ... 237
Dragan S. Janković, Eleonora M. Milić, Aleksandar M. Milenković
REALIZACIJA MOBILNOG MEDICINSKOG PODSETNIKA INTEGRISANOG SA MEDICINSKIM INFORMACIONIM SISTEMOM MEDIS.NET
IMPLEMENTATION OF MOBILE MEDICAL APPOINTMENTS INTEGRATED WITH THE
MEDICAL INFORMATION SYSTEM MEDIS.NET... 241
Aleksa Srdanov, Selena Vasić, Nada Ratković Kovačević, Dragan Milovanović
THE APPLICATION OF SIMULATED INTUITION IN MINIMIZING THE NUMBER
OF MOVES IN GUESSING THE SERIES OF IMAGINED OBJECTS ... 245
Stevan Čakić, Aleksandar Popović
ALAT UNITY3D U KONCEPTU PROŠIRENE REALNOSTI
UNITY3D TOOL IN THE AUGMENTED REALITY CONCEPT ... 249
Lazar Radinović, Aleksandar Popović
GEO-LOKACIJSKI SERVIS ZA JAVNI PREVOZ
GEOLOCATION SERVICE FOR PUBLIC TRANSPORT ... 253
Kosta Pavlović, Goran Šuković
VII
Boris Tuponja, Goran Šuković
APPLYING NEAT ON THE GAME 2048 ... 261 Aleksa Srdanov, Vladan Đulaković, Dragan Milovanović
ČETIRI EKSTREMA VEZANA ZA SUDOKU
FOUR EXTREMES RELATED TO SUDOKU ... 265 Aleksandar Tudzarov, Goce Stefanov, Sašo Gelev
CLIENT BASED SELECTION ALGORITHM FOR HYBRID WIRELESS NETWORKS ... 269 Uglješa Urošević, Zoran Veljović
RJEŠENJA ZA POBOLJŠANJE D2D KOMUNIKACIJA U 5G MREŽAMA
SOLUTIONS FOR D2D IMPROVEMENTS IN 5G NETWORKS ... 273 Jelena T. Šuh, Snežana Lj. Stefanovski Pajović
ZAŠTITA OD DOS NAPADA PRIMENOM REMOTELY TRIGGERED BLACK HOLE TEHNIKE FILTRIRANJA SAOBRAĆAJA
PROTECTION AGAINST DOS ATTACKS USING THE REMOTELY TRIGGERED
BLACK HOLE TECHNIQUE FOR TRAFFIC FILTERING ... 277 Jovana Mrkić, Enis Kočan
INDEX MODULATION FOR PERFORMANCE IMPROVEMENT OF
OFDM BASED SYSTEMS ... 281 Aleksandra Lopušina, Enis Kočan, Milica Pejanović - Ðurišić
MEETING 5G REQUIREMENTS THROUGH MILLIMETER WAVE COMMUNICATIONS ... 285 Vuk Radman, Milutin Radonjić
22nd Internacionalna Naučno-Stručna Konferencija Informacione Tehnologije 2017
Abstract — This paper is focused on development of
algorithm for network selection in Hybrid wireless environment based on user-side perspective. Client terminal in the proposed hybrid access design has possibility to change the Radio Access Technology - RAT based on different criteria. The selection of the RAT is performed by the wireless terminal using the user agent algorithm for decision making based on the experience from the performance measurements of RATs conducted by the client terminal in the past. We present results of simulation analysis of the proposed intelligent wireless RAT selection algorithm on the client-side for scenario with basic RAT technologies, WWAN and WLAN. The results showed that the presented algorithm gives better results compared to the traditional RAT selection algorithms and as such can play valuable role in designing of RAT selection algorithms for Next Generation Networks.
Keywords — Hybrid wireless networks, Quality of Service (QoS), Fuzzy Logic, Particle Swarm Optimization, MCDM.
I. INTRODUCTION
In this paper we provide complete functional overview of selection based algorithms in Hybrid wireless networks. The main assumption in our approach is that the user terminal will have the possibility to access different RATs (Radio Access Technologies) from single mobile device at the same time, which is reality even today. Then, we propose adding of new network nodes for policy-based routing between IP tunnels to mobile user via different RATs, which are placed in service stratum of the network. The focus in this paper is placed on designing of network selection algorithm that will offer the best selection mechanism for appropriate wireless network according to user preferences, network conditions and other input parameters.
Usually access network selection algorithms that can be found in literature are concentrated on single selection criteria with focus on radio signal strength (RSS) thresholds for each RAT as criteria upon which selection of RAT is based. Mobile terminal compares the RSS of analyzed RAT with the signal thresholds and decides if it should start handoff procedure. The ways that these algorithms operate have certain limitation regarding its reaction to the changing environment conditions.
1 Aleksandar Tudzarov, Faculty of Electrical Engineering, Goce
Delcev University – Stip, R.Macedonia, E-mail: [email protected]
2 Goce Stefanov, Faculty of Electrical Engineering, Goce Delcev
University – Stip, R.Macedonia, E-mail: [email protected]
3 Saso Gelev, Faculty of Electrical Engineering, Goce Delcev
University – Stip, R.Macedonia, E-mail: [email protected]
Usually this algorithm does not take in consideration different viewpoints and goals of the operators, users, and QoS requirements which make them inefficient for a multicriteria problem such as access network selection problem.
Access network selection based on Fuzzy Logic is proven to provide better results and to be more robust when compared to random-based selection algorithms. Furthermore usage of artificial intelligence algorithms inspired by nature for optimization of Fuzzy Logic Controllers (FLC) and Multi-Criteria Decision Making systems (MCDM) are used in order to incorporate past knowledge of wireless networks behavior. All of these algorithms are generally based on learning capabilities provided from measured data. The main contribution of this paper is the developments of algorithm that enhances the way the Fuzzy Logic Controllers are build in a manner that optimizes Fuzzy Logic (FL) decision, generated and optimized by PSO (Particle Swarm Optimization) nature inspired algorithms.
The remainder of this article is structured as follows. Section 2 provides overview of defined radio selector architecture in the Hybrid architecture. Section 3 provides simulation results of proposed selector architecture. Finally, Section 4 concludes the paper.
II. RADIO ACCESS TECHNOLOGY SELECTOR
In following part of the text we provide description of a novel algorithm for radio networks selection in hybrid wireless environment, which is created using artificial intelligence inspired algorithms.
The algorithm consists of three building components as shown in Figure 1. First component or module is a set of parallel Fuzzy Logic (FL) controllers that are using input data gathered from the measurements for different selection criteria, including: user requirements, QoS requirements, service policies, as well as radio link conditions in different wireless technologies.
The second module is multi-criteria decision mechanism algorithm, which uses as inputs the outputs of the FL controllers form the first module. That is, each criterion can have different weight, which depends upon the assumption of its impact on the best network selection process (i.e. the decision).
The Third module is Particle Swarm Optimization (PSO) [1], [2], [3] mechanism which dynamically modifies the functions of Fuzzy Logic controllers in the first module (shown in Figure 1). This algorithm is used to develop adaptive, flexible, and scalable Network Selection system that can utilize hybrid parallel FL decision-making systems and MCDM systems. FL systems are used in this algorithm in order to introduce flexibility and to deal with
Client based selection algorithm for Hybrid
Wireless Networks
Aleksandar Tudzarov1, Goce Stefanov2, Saso Gelev3
Faculty of Electrical Engineering, Goce Delcev University – Stip, R.Macedonia
XXII međunarodni naučno-stručni skup INFORMACIONE TEHNOLOGIJE 2017
22nd Internacionalna Naučno-Stručna Konferencija Informacione Tehnologije 2017
uncertainty that arises from constant changes of radio conditions that impacts radio technologies as well as to be able to use selection mechanism based on different types of inputs that are normally incomparable due to their incompatibility by the nature and behavior. By introducing FL in the selection algorithm possibility for using of different input parameters by their nature arises and increases flexibility and overall usability of the algorithm. Considering this fact, input variables are in practice normalized in dimensionless values which magnitude represents their impact in selection criteria for each RAT. All of the outputs are normalized and receive values from [0 to 1] interval. In order to simplify implementation of FL and to give some clearance parallel FLC are used. Implementation of Parallel FLC reduces the complexity of inference rules used in the fuzzy-based solutions. Furthermore use of nature inspired algorithms like PSO – “Particle Swarm Optimization” for optimization of FLC and MCDM systems in order to incorporate past knowledge of network behaviors in these systems.
Proposed scheme to solve the network selection problem as well as Software assistant (SA) based on the proposed scheme in coexisted WWAN (Wireless Broadband Technologies 3G/4G) – WLAN (802.11 b/g/n/ac) based systems is described in Simulation bellow. [5], [6], [7], [8] MCDM Equal values Cost Fuzzy Controler Cost/User PSO for optimization of MF in FC MSS Fuzzy Controler Mobile Speed PSO for optimization of MF in FC QoS Fuzzy Controler Service Latency PSO for optimization of MF in FC Cost Fuzzy Controler PSO for optimization of MF in FC Service BW WLAN SS WWAN SS FUZZ Y LOGI C PSO
Fig.1. Network selection scheme
The selection procedure can be divided into three phases, initiation phase, decision phase, and execution phase. The objective of the initiation phase is to recognize the need for selection change and subsequently initiate it and find out the required information and measurements for the decision phase. In the decision phase, a comparison of the information and the measurements calculated from a variety of sources including networks measurements, QoS requirements, user preferences, and operator policies is done. This comparison leads to the identification of the best available Wireless Network according to the defined performance evaluation metrics. The scheme decision phase can be described in more detail as follows:
(i) The heterogeneous wireless environment contains up to n RATs (RAT1, RAT2... RATn) and the framework has to select the most promising one or to rank the RATs according to their suitability.
(ii) The selection depends on multiple criteria up to i (c1, c2, . . . , ci). Different type of criteria can be measured from different sources to cover the different viewpoints of the users, the operators, the applications, and the network conditions. Each criterion is measured then passed to its FL-based control subsystem in the first component.
(iii) Using the PSO system FLC optimization of Fuzzy MF is conducted based on measured inputs and wanted output behavior in order to create most suitable FLC that corresponds to input variable ranges and values. Optimization is conducted by minimizing of MSE between wanted and calculated outputs from Fuzzy Controller that is being optimized.
(iv) Every FL-based subsystem produced by PSO gives an initial score for each RAT that reflects the suitability of that RAT according the FL subsystem criterion. The different sets of scores (d1, d2. . . di) are sent to the MCDM in the third component.
(v) Using the initial scores coming from the first component and the weights that are assigned manually (they are equal for each FLC input) the MCDM will select the most promising access network or will rank the available RATs according to their suitability.
Proposed algorithm utilizes the advantages of parallel FL control, PSO optimization and MCDM, scheme is presented on Figure1.
The idea of the parallel FLC reduces the complexity of the inference rules used in the fuzzy-based solutions. Parameters of FLC that have to be considered while constructing the fuzzy logic are shape of Membership Functions (MF) and type of fuzzy inference system (FIS). In general there are two types of FIS which main difference are in aggregation and defuzzification process (Sugeno & Mamadani). In this work after short analyzes it is determined that it would be best if FLC are based on Mamadani FIS and triangular MF.
Particle swarm optimization (PSO) is a population based stochastic optimization technique inspired by social behavior of bird flocking or fish schooling. The system is initialized with a population of random solutions and searches for optima by updating generations.
Network selection problem is a multicriteria problem by nature, therefore flexible and complementary network selection multicriteria mechanism have to be used in order to provide a solution that can cope with the different viewpoints and goals. [4] Network selection MCDM solution enhanced version of simple multiattribute rating technique (SMART) has been used. SMART is one of the simplest and most efficient MCDM methods. The ranking value xj of alternative Aj is obtained simply as the weighted algebraic mean of the utility values associated with it, that is, aij according to (1):
m i ij m i ij i j w a w X 1 1 , j =1,2,….,n (1)SMART employs relatively uncomplicated and
straightforward manipulation method, which makes it stronger and easier to use in a hybrid and more complex models such as the proposed one in this paper. In proposed algorithm, there are two alternatives for the MCDM, one is a WWAN based network and the other is a WLAN based network. The input criteria of the MCDM are the outputs of the FL-based control subsystems in the first component. Weights Wi for criteria i are assigned to reflect their relative importance. The criteria with more importance to
XXII međunarodni naučno-stručni skup INFORMACIONE TEHNOLOGIJE 2017
22nd Internacionalna Naučno-Stručna Konferencija Informacione Tehnologije 2017
the operator and user can be assigned higher weight. Since all the outputs of FL subsystems are in the range [0, 1], there is no need to scale the criteria performance against alternatives, and there for all weights in this case are set to equal values. The ranking value of WWAN network Xwwan and the ranking value of WLAN network Xwlan can be calculated as follows: TW u *W c UPP t *W c STT s *W c RSS v *W c MSS wwan x 1 1 1 1 TW u *W c UPP t *W c STT s *W c RSS v *W c MSS wlan x 2 2 2 2 (2)
where Wv is the assigned weight for the mobile station speed criteria. Ws is the assigned weight for the received signal strength criteria. Wt is the assigned weight for the service type criteria. Wu is the assigned weight for the user preferred price criteria. TW is the total weight and is calculated using:
TW = Wv +Ws +Wt +Wu. (3)
The weights of the input criteria {Wv, Ws, Wt, Wu} as previously mentioned are set to equal values (0,25)
III. SIMULATION OF SELECTOR MODEL
Proposed selection algorithm is evaluated using the simulation approach. MATLAB mathematical software and a set of functions called RUNE [9] “RUdimentary Network Emulator” have been used for the simulation.
The system model considers the coexistence of WWAN network with seven macro cells with omnidirectional antenna and cell radius = 1000 m and a WLAN network with hundred and eight microcells with omnidirectional antenna and cell radius = 250 m. In the system environment, each mobile has a velocity and is moved with a random distance and a random direction at defined time steps. The velocity is a vector quantity with magnitude and direction. The velocity of the i-th mobile is updated according to (4);
2
1* 1 * *
i i mean
v v P P v X (4)
Where vi is the complex speed [m/s]. P is the
correlation of the velocity between time steps. It depends on both amean that is the mean acceleration of the mobile
user and vmean which is mean velocity of mobile user. P is
calculated according equation (5):
* mean mean dt a P v (5)
X is Rayleigh distributed magnitude with mean 1 and a random direction. vmean is the mean speed of mobiles.
vmean, was set to 10 km/h and amean has been set to 1
km/h2.
Four types of services are considered in the simulation and they are equally distributed among the users: voice calls, low bit rate real-time video telephony, high bit rate video and the nonreal-time data traffic. N mobile users are
created and they are randomly distributed among the defined service types.
In general their requirements from the wireless network are simulated as pair of values defined as: [Latency, Bandwidth]. In that sense following 4 pairs were considered {[100,64]; [200,128]; [400,256]; [800,512]}.
The traffic is modeled according to Poisson process. The main holding time is assumed to be 50 seconds. For the purpose of simulation FLC where designed that fits the FLC parallel scheme. Considering that two RAT technologies are analyzed in the scenario two outputs from every FLC are taken. Outputs from the FLC present degree of membership of each RAT scaled to input variables regarding FL rules. Taking into account that most of ANS algorithm are based on Radio Signal Strength and that this parameter has the biggest impact on final decision in ANS, special Particle Swarm Optimization (PSO) algorithm described above is used in order to produce FLC which membership function are tuned to measured signal strengths from simulation.
PSO algorithms uses Swarm size of 50 particles and maximum number of iteration = 50. Evaluation function is based on minimizing the mean square error (MSE) comparing to expected predefined values. Expected values are defined as values taken from humanly decision that would be made if access network selection is done by human for every point in time and separately for each analyzed criteria.
This subsection shows some simulation results and compares the performance of proposed solution to two different reference ANS (Access network selection) algorithms.
The first algorithm is a service-type based selection algorithm where high bit services with low propagation delay requirements are sent to the WLAN and the low bit rate services with the high propagation delay requirements are sent to the WWAN. The second algorithm is a random-based selection algorithm where the users are assigned randomly to the two networks. All solutions have been simulated, evaluated, and compared for the same objective optimization and that is to maximize the percentage of assigned to the networks with stronger signal strength (Pq). Several runs of simulation have been carried out for different number of users in simulation scenario (from 100 to 1000 with step of 100). Results are given on Figure2 and in Table 1.
Fig. 2. Percentage of satisfied users 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 100 200 300 400 500 600 700 800 900 1000 % o f u ser s a ssi g n ed t o w a n te d t ec h n o lo g ie Users in scenario
PSO Fuzzy MCDM Service Type RRM Random based RRM
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TABLE 1: PERCENTAG OF SATISFIED USERS
Nr. Users PSO-Fuzzy MCDM ANS Service Type based ANS Random based ANS 100 0,740 0,470 0,420 200 0,790 0,505 0,530 300 0,700 0,507 0,470 400 0,740 0,508 0,585 500 0,786 0,516 0,508 600 0,775 0,475 0,480 700 0,746 0,469 0,506 800 0,805 0,523 0,521 900 0,844 0,516 0,490 1000 0,796 0,493 0,513
For example, with 900 users in the scenario Pq for proposed algorithm is 0,844 that means that 84% of the users are assigned to RAT with better signal strength and by that means with better QoS, while in that same scenario reference algorithms can achieve Pq factor of around 50%. In average, proposed solution achieves around 27% enhancement over the random-based selection algorithm.
IV. CONCLUSION
A novel scheme to solve the network selection problem has been presented in this paper. The scheme can cope with the different and contrast view points and goals of the operator and users. The proposed scheme has been used to present and design a multicriteria network selection solution that considered the user, the QoS, and the operator view points. The simulation results show that the proposed solution has a better and more robust performance over the reference solutions.
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