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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
January 2015 | Vol. 71 No.3

Title:	MAX FLOW BASED ON TOPOLOGY CONTROL CHANNEL ASSIGNMENT IN MULTI-RADIO MULTI-CHANNEL WIRELESS MESH NETWORKS
Author:	ASHRAF ALZUBIR, KAMALRULNIZAM ABU BAKAR
Abstract:	The wireless network technologies have been popping up everywhere and becoming more popular day by day. Wireless Mesh Network (WMN) is one of the promising wireless technologies that provide effective, innovative and multihop solutions to provide the Internet connectivity to a large number of mesh routers with a low cost of construction. The interference problem between wireless links is critical and challenging problem faced in wireless networks that affects overall throughput. Hence, interference problem can be mitigated through efficient utilization of non-overlapping channels. Moreover, the multiple radios that are installed in each mesh router which operates in distinct channels enables the mesh routers to transmit packets simultaneously, resulting in increased throughput of the network. In this paper, we propose a novel algorithm Max-flow based on Topology-control Channel Assignment (MTCA) that aims to reduce the interference problem between the wireless links and maintaining on network connectivity. Simulation results reveal improved performance of the proposed algorithm in terms of mitigating interference problem and overall throughput of network as compared to existing work.
Keywords:	Wireless Mesh Network, Channel Assignment, Interference, Multi-Channel Multi-Radio, Throughput
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	IMPLEMENTATION OF AN INTRUSION DETECTION SYSTEM BASED ON SELF ORGANIZING MAP
Author:	EMIRO DE LA HOZ FRANCO, ANDRES ORTIZ GARCIA, JULIO ORTEGA LOPERA, EDUARDO DE LA HOZ CORREA, FABIO MENDOZA PALECHOR
Abstract:	The main purpose of this study is to identify a methodology to validate the effectiveness of an Intrusion Detection Systems proposed in three phases (selection, training and classification) using FDR to feature selection and Self Organizing Maps to training-classification. Therefore, initially are covered basics introductory in the first four items, related to the input dataset, the intrusion detection system and the metrics that are necessary to evaluate the IDS, the feature extraction technique FDR and the funcionality about the self-organizing map (SOM). Later in the methodology Item, in the body of the paper, a functional model proposed to described the intrusion detection, such model is validated from the comparation of metrics in simulation develops enviroments. Finally concluded that the detection rates obtained by the proposed functional model are: sensitivity of 97.39% (fits correctly identified as attacks) and a specificity of 62.73% (normal traffic correctly identified as normal traffic) using only 17 features of the dataset input. These results are compared with other simulating scenarios different, consulted from the documentary sources, from which it is suggested to integrate at the proposed model other techniques for training and classification processes to optimize the intrusion detection model.
Keywords:	Intrusion Detection System – IDS, Self-Organizing Map – SOM, Fisher’s Discriminant Rate – FDR, Gaussian Mixture Model (GMM), dataset NSL-KDD
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	A NEW CLUSTERING BASED SEGMENTATION TECHNIQUE FOR BREAST LESIONS DETECTION
Author:	YOUNES KABBADJ , FAKHITA REGRAGUI
Abstract:	Microcalcifications can be a very important sign of breast cancer. As their detection is very crucial to further investigation, automatic detection in mammograms can help practitioners to locate missed abnormalities. The aim of this work is to propose a simple method based on fuzzy clustering to efficiently segment microcalcifications. This method which is derived from two existing methods, automatically determines the number of classes in each image and then isolates potential microcalcifications. Compared to previous methods, the proposed method was tested on 7 Regions of Interest and demonstrated higher performance reaching up to 0.93 in terms of F1-Score and an overall best performace.
Keywords:	Computer Aided Detection, Machine Learning, Image Analysis, Fuzzy Clustering, Image Segmentation
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	AN EEFICIENT MANAGEMENT OF SEMANTIC METADATA REPOSITORIES USING TEMPORAL BASED KALMAN FILTER ON WEB ARCHITECTURE
Author:	A.ABDUL RAHUMAN, Dr.C.CHANDRASEKAR
Abstract:	A major concern incorporating data accesses for web search classification is the need for accurate user result, optimality solution on semantic ontology search with combination of keyword. These concerns often make it difficult to produce results relevant to the user query with maximal metadata repositories. Moreover, with multiple pages produced as a result of current standard search on web domain, harness the augmented filtering potential relevant to the user query. To present an effective metadata managing repositories on web domain, Temporal-based Kalman Filter on Web Architecture (TKF-WA) is proposed in this paper. TKF-WA addresses a metadata based semantic ontology search on web domain. Initially, semantic learning object link class is developed to classify the set of keywords automatically for effective management of metadata repositories. The metadata links the related learning objects internally and manages maximal metadata repositories. The managed metadata repositories on Web Architecture present a Temporal-based Kalman Filtering algorithm to remove the irrelevant pages which are not related or insignificant to the user query. Temporal-based Kalman Filtering performs the series of measurement based on time with metadata repositories to satisfy the user query set. Kalman Filtering is temporal based in the proposed web architecture to not only handle the regular (i.e., sentence-based) but also the irregular (i.e., keyword-based) query set. Experiment conducted on IRIS2 dataset with factors such as system utility rate on filtering, search retrieval efficiency and average response time.
Keywords:	Temporal based Kalman Filter Design, Semantic Metadata Repositories, Ontology, Web Architecture, Semantic Learning Object, User Query
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	FACE TRACKING FOR A SYSTEM OF COLLECTING STATISTICS ON VISITORS AND QUALITY ASSESSMENT OF ITS FUNCTIONING
Author:	A.S.SAMOYLOV, D.M.MIKHAYLOV, P.E.MININ, A.D.EGOROV
Abstract:	This article focuses on the development of a face tracking algorithm for a system collecting statistics about visitors. The basic method of tracking by template-matching is modified in several ways to cope with its drawbacks and achieve a stable tracking performance. In addition, the problem of objective quality assessment for tracking methods is considered, and a piece of software is described that provides a solution to the problem. Experiments conducted using this software prove the effectiveness of the proposed modifications.
Keywords:	Face Tracking, Template Matching Tracking, Template Update, Histogram Matching, Quality Assessment.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	THE DESIGN OF THE HYBRID PID-ANFIS CONTROLLER FOR SPEED CONTROL OF BRUSHLESS DC MOTOR
Author:	HIDAYAT, SASONGKO PRAMONO HADI, SARJIYA, 2SUHARYANTO
Abstract:	This paper presents the design of the hybrid PID-ANFIS controller for controlling the speed of the Brushless Direct Current Motor (BLDCM). The objective of this work is to obtain the BLDCM speed controller equipment effectively. The hybrid PID-ANFIS controller is a combination of classical PID controller and ANFIS controller. This method is applied to BLDCM speed controller by simulation and implementation with making its prototype. Hybrid PID-ANFIS controller input consists of speed setting, actual speed and error speed. The actual speed is acquired the processing the rotor position sensor output signal. PID controller parameters are tuned using closed loop Ziegler Nichols method, while ANFIS controller parameters are acquired by off-line hybrid training. ANFIS training data includes the training input data (actual speed and speed setting) and target of ANFIS training (BLDCM input voltage in the form of PWM). The parameters of hybrid PID-ANFIS controller are the combination of the parameter of PID and ANFIS, added by the error limit. The error limit is functioned to select of working domain of each controllers through determining weight of PID and ANFIS activation signal that presented by a linear curve. The development of prototype is implementation from the development of structure and parameter of hybrid ANFIS-PID controller that uploaded into microcontroller ARM cortex STM32 F103RB using C programming language. The controller performance was analyzed based on speed response parameters, control energy and Integral Square Error (ISE) through testing each controller structure at various loaded and non-loaded conditions speeds setting. The testing results are obtained the best response performance that impacted to improve control energy reduction 17.36% and ISE 15.29%, the controllers can operate on a wide speed setting spectrum.
Keywords:	BLDCM, Speed control, Hybrid PID-ANFIS
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	RIVER BOUNDARY DELINEATION FROM REMOTELY SENSED IMAGERY BASED ON SVM AND RELAXATION LABELING OF WATER INDEX AND DSM
Author:	PARAMATE HORKAEW, SUPATTRA PUTTINAOVARAT, KANIT KHAIMOOK
Abstract:	Topographic mapping of river boundary area is important in the environment management and hydrological modeling. In recent years, delineation of river by means of remotely sensed image classification has been widely investigated. Prime advantages of remote sensing technology for river delineation are reducing labor cost and time and elevating restrictions on ground surveys. However, these techniques are as yet to produce satisfactory result due to, for instance, the lack of an effective means of removing shadow and spurious noise. This paper proposes the boundary delineation of river from satellite image using Support Vector Machine (SVM) and two well accepted water indices (NDWI2 and MNDWI). In our framework, relaxation labeling was also incorporated in order to ensure reliable classification while suppressing spurious artifacts, inherited from the satellite imaging. The subsequent assessment suggested that MNDWI index yielded the most accurate classification and hence water extraction. The resolution of the delineated river braches was further enhanced by incorporating DSM data. The technique was then benchmarked against labor intensive manual tracing with promising consistency.
Keywords:	River Delineation, SVM, Relaxation Labeling
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	MINIMIZING STUDENT ATTRITION IN HIGHER LEARNING INSTITUTIONS IN MALAYSIA USING SUPPORT VECTOR MACHINE
Author:	ANBUSELVAN SANGODIAH, PRASHANTH BELEYA, MANORANJITHAM MUNIANDY, LIM EAN HENG, CHARLES RAMENDRAN SPR
Abstract:	Attrition or better known as student dismissal or drop out from completing courses in higher learning institutions is prevalent in higher learning institutions in Malaysia and abroad. There are several reasons attributed to the attrition in the context of student in higher learning institutions. The degree of attrition varies from one institution to another and it is cause for concern as there will be a lot of wastage of resources of academic and administrative besides the adverse effect on the social aspect. In view of this, minimizing the attrition rate is of paramount importance in institutions. There have been numerous non-technical approaches to address the issue, but they have not been effective to predict at early stage the likelihood of students dropping out from higher learning institutions. Technical approach such as data mining has been used in predicting student attrition by some researchers in their past research work. However, not all prediction data mining techniques and other relevant and significant factors attributed to student attrition have been fully explored to address the issue. As of result this, this study will focus on using support vector machine model to predict probation status of student in which in most cases will lead to student’s dismissal. It will also examine relevant and other factors that contribute to the attrition among students in Malaysia. The result of the study is appealing as the support vector machine model achieves a decent accuracy in prediction despite working on small size of data set. With all this in place, higher learning institutions in Malaysia can deploy the model in predicting probation status of student to minimize student attrition.
Keywords:	Attrition, Data Mining, Support Vector Machine, Classification Model, Educational Data Mining
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	QUESTION CLASSIFICATION USING STATISTICAL APPROACH: A COMPLETE REVIEW
Author:	ANBUSELVAN SANGODIAH, MANORANJITHAM MUNIANDY, LIM EAN HENG
Abstract:	In recent days, question classification is growing in popularity as it has an important role in question answering systems, information retrieval and it can be used in a wide range of other domains. The main aim of question classification is to accurately assign labels to questions based on expected answer type. Past research works have relied on matching questions against hand-crafted rules. However, rules require enormous effort to create and often suffer from being too specific. A great deal of current research works on question classification is based on statistical approach to overcome these issues by employing machine learning techniques such as Support Vector Machine and Artificial Neural Network. This paper presents an updated literature survey of current methods or approaches for question classification in the areas of question answering systems, information retrieval and educational environment. Question classification involving other languages besides English has also been examined.
Keywords:	Question Classification, Machine Learning, Semantic Features, Syntactic Features, Support Vector Machine
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	ENHANCING DATA SECURITY TO HANDLE DOS AND SYN FLOOD ATTACK WITH HARDWARE IMPLEMENTATION
Author:	ANSILLA J.D, Dr.N.VASUDEVAN, Dr.S.RAVI
Abstract:	Network security has become an important issue in organization, business and public data handling and has grown exponentially in recent times. The threats to the valuable information on the network are becoming more widespread and more sophisticated. The ‘SYN’ field in the TCP segment reflects the status of the socket setup. This ‘SYN’ bit if set by unauthorized process can prevent genuine users from getting connected. This work focuses on secure communication between end-points terminal and protect information during transmission. In this paper, DES algorithm is implemented on ARM processor using embedded C and provides better efficiency with hardware implementation is demonstrated.
Keywords:	Trusted Nodes, Data Security, Data Encryption Standard (DES), Socket Shell, SYNC FLOOD
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	AN EFFICIENT HEURISTIC BASED TREE CLASSIFIER MODEL FOR MEDICAL DISEASE DIAGNOSIS
Author:	K.GAYATHR, DR. M.CHITRA
Abstract:	The explosive growth of medical data and distributed sources augments the demand for efficient disease diagnosis and identify the cause of disease. The varying filtering concept used on the existing system performs the decision making process to exploit the contextual information. But filtering was not developed on medical expert support system for predicting drug effectiveness. Data publishing using slicing partitioned high dimensional data into parallel and perpendicular vectors. Slicing technique with column generalization was not examined thoroughly with classification implications. To thoroughly predict the drug effectiveness on medical expert support system, Smoothing Heuristic Divider Method of Classification tree (SHDC) is proposed in this paper. The main objective behind SHDC is to examine and classify thoroughly drug effectiveness using classification tree on the varying set of medical data. Initially, Support Vector Machine predictive model is developed in SHDC method to predict data quality and to perform mapping operation. Data quality in SVM is measured using double exponential smoothing technique to predict the medical data changes for varied intervals. SVM in SHDC method maps the input data vectors into high dimensional space to obtain optimal hyper plane support vectors on medical data support system. Secondly, classification is performed using Heuristic Divider Method to split (i.e.,) classify the medical data hyper planes for improving the searching process. Finally, the classifier is provided to support medical expert support system using Support Vector Machine which constructs separating hyper plane. With this, the separating hyper plane maximizes classifier margin and performs experimental evaluation on factors such as true rating rate, classification accuracy and finally percentage reduction in prediction time.
Keywords:	Heuristic Divider Method, Support Vector Machine, Hyper Plane, High Dimensional Space, Smoothing Technique, Predicting, Medical Expert Support System
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	DETECTION AND PREVENTION OF DENIAL OF SERVICE ATTACKS (DOS) IN WLANS INFRASTRUCTURE
Author:	AABDALLAH ELHIGAZI ABDALLAH, SHUKOR ABD RAZAK, COULIBALY YAHAYA
Abstract:	Wireless networks are very common today because of their flexibility, portability and ease of installation. Users working through wireless connections have to be aware of the environments due to the vulnerability of the infrastructure and various types of attacks that can be made by the intruders to compromise valuable and critical data. Denial of Service attack (DOS) is the most significant attack in the wireless 802.11 WLANs. Wired Equivalent Privacy (WEP) and Wi-Fi Protected Access (WPA) security protocols are used to protect wireless network infrastructure against intruders. Despite remarkable advances, both WEP and WPA protocols still suffer from DOS attack because their management and control frame is not encrypted. Integrated Central Manager (ICM) algorithm was proposed to detect and prevent DOS attacks. However, in ICM, time needed to detect DOS attack is too long. The algorithm maintains five tables for observing activities in the network. When a client requests for a connection, all the five tables needs to be processed; this is increases both network overhead and latency. In This paper, we proposed an algorithm called Enhanced Integrated Central Manager (EICM) to enhance DOS detection and prevention time. The algorithm was evaluated by gathering MAC addresses using Wireshark software and MATLAB was used for simulation. The obtained results demonstrate that that the proposed algorithm outperforms its predecessor in terms of DOS detection and prevention time by decreasing network overhead.
Keywords:	WLAN Security, Denial of Service, MAC Spoofing, EICM
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	CONSTRUCTION OF PHYLOGENETIC TREE USING NEIGHBOR JOINING ALGORITHMS TO IDENTIFY THE HOST AND THE SPREADING OF SARS EPIDEMIC
Author:	MOHAMMAD ISA IRAWAN, SITI AMIROCH
Abstract:	The epidemic of SARS is a dramatic example of how quickly the virus spread throughout the world. The pattern of spread of the SARS virus can be likened to a tree called a phylogenetic tree. All of SARS virus related to one another are connected to a network that is transmitted from one individual to another. The results of this branching process to determine the beginning of the epidemic as well as the host of the corona virus. To construct a phylogenetic tree takes inputs in the form of a distance matrix. In this study the distance matrix is derived from the alignments between sequence by using Super Pairwise Alignment (SPA). The output of the alignment is in the form of number of differences of sequences that determine in genetic distance. From the distance matrix, the genetic distance is converted to evolutionary distances using the Jukes Cantor model of which was established by phylogenetic tree by using the neighbor joining algorithm. From the results of the phylogenetic tree formation are known as host SARS Co-V is a palm civet with evolutionary distance of 0.1314. The epidemic began on December 16, 2002 in Guangzhou of South China and then spread to Zhongshan. Rallying point of the epidemic in Guangzhou Hospital and the Metropole hotel subsequently spread to Hanoi, Toronto, Singapore, Taiwan, and Hong Kong so that SARS to be international case. Furthermore, from the result of alignments of hosts and human SARS Co-V with SPA is known that the mutation is a mutation that occurs with type I protein replacement at position 77, 139, 147, 244, 344, 360, 472, 480, 487, 577, 609, 613, 665, 765, 778, and 1163.
Keywords:	SARS Coronavirus, Phylogenetic Tree, Neighbor Joining Algorithm, Super Pairwise Alignment.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	A NEW HEURISTIC DECISION TREE AND TIME-INVARIANT DETECTION OF PADDY GROWTH STAGES FROM MODIS DATA
Author:	S. MULYONO, M. SADLY, 1M. IVAN FANANY, T. BASARUDDIN
Abstract:	Satellite remote sensing has essentially been applied in agriculture such as monitoring paddy growth stages, cropping schedule, and fertilizer management over vast areas. Many methods have been devoted for detecting paddy growth stages by deriving a certain profiles of vegetation indices from high temporal resolution satellite data. In this paper, we introduce a time-variant method referred to as a heuristic decision tree (HDT) for detecting 3-classes of paddy growth stages from a limited number of MODIS images and generalize the result through machine learning to predict the growth stages in time-invariant manner. We compared our proposed method to two previous studies in [8] and [9]. For the time-variant case, all methods are validated by 124 times of observation data among 50 reference points from field survey. After doing some adjustments for calculating the accuracy, the result shows that the accuracy for [8, 9], and our proposed method are 0.8951, 0.9375, and 0.9435 respectively. For the time-invariant case, we evaluate three Kernel-based Regularized (KR) classification methods, i.e. Principal Component Regression (KR-PCR), Extreme Learning Machine (KR-ELM), and Support Vector Machine with radial basis function (RBF-SVM). All data samples are divided into training (25%) and testing (75%) sampling, and all models are trained and tested through 10-rounds random bootstrap re-sampling method to obtain more variety on hypothesis models during learning. The best model for each classifier method is defined as the one with the highest kappa coefficient during testing. The experimental results for 3-classes of paddy growth stages prediction show that the classification accuracy in testing for our proposed method of each learner are 0.8485, 0.8874, and 0.8252 respectively, whereas for previous study [8] are 0.6845, 0.7845, and 0.6949 respectively.
Keywords:	Remote sensing, MODIS, Phenology, Paddy growth stages, Kernel based learner
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	ASATE : AN ADAPTIVE SECURE SCHEME FOR EFFECTIVE WIRELESS SENSOR NETWORK IN EMERGENCY SITUATION
Author:	RACHID HAJI, HICHAM BEKKARI, ABDERRAHIM HASBI, ABDELILAH MAACH
Abstract:	In emergency situation, wireless sensor networks can be subject to various attacks aimed to mislead information or to paralyze the network. In such context, security is an essential requirement to ensure efficient communication within sensor network. Most of the proposed security protocols for WSNs fix only a part of security issues and are based on authentication or cryptography. In this paper, we propose to enhance framework Ad-M-QOS-DS with a new adaptive secure capability. The new feature brings more confidentiality, data integrity and availability within malicious context. The new security layer ASATE combined three approaches: Authentication based on MAC Filtering, Trust index based on the criticality of events and adaptable Encryption depending on the type of messages spread on the network and the present risk.
Keywords:	Emergency situations; Wireless Sensor Networks; Security; Authentication; Trust Index; Risk; Encryption
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	FIRE ALARM SYSTEM COMMUNICATION PROTOCOL RESEARCH BASED ON THE COMPONENTS OF THE "BOLID C2000M" SYSTEM
Author:	S.D. FESENKO, Y.Y SHUMILOV, A.D. EGOROV, A.S. FILIMONTSEV, A.A. SHINKARENKO, D.T. RUBIN, V.L. EVSEEV
Abstract:	This article considers the issues of engineering systems as a particular case of automated control systems information security from unauthorized access to the automation equipment. That includes intruders and threats classification. Next, on the basis of the obtained data, algorithms for the analysis of closed protocols in such systems are developed. Practical research of a typical engineering system protection was also described, for this purpose the data transfer protocol used by the system "Bolid C2000M" was studied. This work is a preliminary step for further development of the device protecting the system from an unauthorized access.
Keywords:	Cybersecurity, Engineering Systems, Fire Alarm System, Automated Control System, Communications Links, Data Transfer Protocol.
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	A SEMANTIC WEB SERVICE COMPOSITION FOR E-GOVERNMENT SERVICES
Author:	AMINA ADADI, MOHAMMED BERRADA, DRISS CHENOUNI, BOUCHAIB BOUNABAT
Abstract:	Emerging from e-business ideas in the late 1990s, e-Government is seen as a concept that is focused on fully exploiting Internet and information and communication technologies to deliver effective government services to citizens, businesses, and other stakeholders. However e-Government has some specific features as opposed to traditional e-business scenarios, because of the enormous challenges it faces in achieving interoperability, integration and security, which are of interest to our dynamic Web service composition research and on which semantic Web service composition architecture could be properly demonstrated. From these reasons, we propose in this paper an approach for the composition of semantically described e-Government Web services, enabling citizens to dynamically compose services according to their goals and through a single point of access.
Keywords:	Web Service Composition, Semantic Web Services, E-Government, Multi-agent systems, AI Planning
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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Title:	AN EVALUATION OF IEEE 802.11 MAC LAYER HANDOFF PROCESS IN CAPWAP CENTRALIZED WLAN
Author:	MOHAMMED BALFAQIH, ROSDIADEE NORDIN, ZAIN BALFAQIH, SHARIQ HASEEB, AISHA HASHIM
Abstract:	The growing demand to provide secure wireless connectivity, especially in hot spot areas such as conference halls and events, motivated the development of Control and Provisioning of Wireless Access Point (CAPWAP) centralized Wireless Local Area Network (WLAN). The centralized WLAN utilizes an Access Controller (AC) to simplify configuration, management, and control of Wireless Termination Points (WTPs) in large scale deployment of a wireless network. In order for the clients to associate and re-associate to WTPs, scanning and authentication phases are performed. The contributed latency during scanning and authentication phases, in the MAC layer handoff process, makes it difficult to support real-time applications that are sensitive to network latencies. This work simulates the effect of using different scanning and authentication methods in CAPWAP centralized WLAN during MAC layer handoff process. This can be considered as a significant contribution since no prior work has been done, to our knowledge, to simulate the handoff latency components in centralized networks. This work also studies the effect of varied propagation environments including isolation, and indoor and outdoor environments on handoff process. Moreover, the effects of employed WTP type and the client movement speed on the handoff process latency have been analyzed.
Keywords:	Handoff, CAPWAP, Scanning, Authentication, Centralized Network
Source:	Journal of Theoretical and Applied Information Technology 31^st January 2015 -- Vol. 71. No. 3 -- 2015
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