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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
May 2016 | Vol. 87 No.3

Title:	AFRICAN BUFFALO OPTIMIZATION AND THE RANDOM-IZED INSERTION ALGORITHM FOR THE ASYMMETRIC TRAVELLING SALESMANS PROBLEMS
Author:	JULIUS BENEOLUCHI ODILI1, MOHD NIZAM MOHMAD KAHAR, A. NORAZIAH, ESTHER ABIODUN ODILI
Abstract:	This paper presents a comparative study of the African Buffalo Optimization algorithm and the Random-ized Insertion Algorithm to solving the asymmetric Travelling Salesman’s Problem with the overall objec-tive of determining a better method to solving the asymmetric Travelling Salesmans Problem instances. Our interest in the asymmetric Travelling Salesmans Problem (ATSP) is borne out of the fact that most practical daily-life problems are asymmetric rather than symmetric. The choice of the Random Insertion Algorithm as a comparative algorithm was informed by our desire to investigate the general belief among the scientific community that Heuristics being mostly problem-dependent algorithms are more efficient that metaheuristics that are usually general-purpose algorithms. Moreover, both the metaheuristic, the African Buffalo Optimization and the Heuristic, Randomized Insertion Algorithms hold some of the best results in literature in solving the ATSP. Similarly, both methods employ different search techniques in attempting solutions to the ATSP: while the African Buffalo Optimization uses the modified Karp-Steele technique, the Randomized Insertion employs random insertion mechanism. After investigating all the 19 benchmark ATSP datasets available in TSPLIB, it was discovered that the Randomized Insertion Algorithm achieves slightly better result to the problems but the African Buffalo Optimization is much faster.
Keywords:	Heuristics, Metaheuristics, Asymmetric Travelling Salesmans Problem, Randomized Insertion Algorithm, African Buffalo Optimization.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	A FEEDBACK BASED PREDICTION MODEL FOR REAL-TIME WORKLOAD IN A CLOUD
Author:	BABAK ESMAEILPOUR GHOUCHANI, AZIZOL ABDULLAH, NOR ASILA WATI ABDUL HAMID, AMIR RIZAAN ABDUL RAHMAN
Abstract:	Most of the distributed systems such as a cloud environment have a nondeterministic structure, and it would cause a serious problem to perform tasks with a time limit. Therefore, many prediction models and performance analyzes being used in the cloud to determine environment for users. Nevertheless, most of these models have a single objective for optimal resource absorption. Which means, they considered just one objective, such as a time limit and other issues are overlooked. In this paper, we proposed a novel model in Cloud to determine environment for the real-time workload. We applied a multi-objective model to absorb optimal resources under reasonable user cost and maximum user sharing. Performance evaluation on CloudSim proves that the new approach outperforms other existing, state-of-the-art methods.
Keywords:	Cloud Computing, Prediction Model, Time Series, Feedback Based Prediction Model, Resource Provisioning
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	A MULTIPLE KNAPSACK APPROACH FOR ASSIGNMENT PROBLEM OF HUMAN RESOURCES
Author:	Said TKATEK, Otman ABDOUN, Jaafar ABOUCHABAKA, Najat RAFALIA
Abstract:	In this paper, we propose the assignment problem of resources humans methodology by using the multiple knapsack approach to formulate the studied problem, and solve it by using the genetic algorithm for obtaining the optimal assignment of the new qualified employees that ensures the maximization the productivity by introducing constraints corresponding to the cost of each posts, and capacity of personnel in each service of enterprise. The personnel selected can be transferred and diversifying their competencies and qualifications. This study of this problem allows the managers of human resources to manage the recruitment of qualified employees to occupy the posts in of enterprise for improving the productivity. The multiple knapsack problems (MKP) is a more complex variant of the 0 1 knapsack problem, an NP-Hard problem So, our problem is difficult combinatorial problems Finally, a detailed algorithm based on the GA will be presented as a method of solving our problem with a numerical example to valid this work.
Keywords:	Multiple Knapsacks Problem, Assignment Problem, Genetic Algorithm
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	BUILDING AN E-LEARNING SYSTEMS OWL ONTOLOGY BY EXPLORING THE UML MODEL
Author:	BOUCHRA BOUIHI, MOHAMED BAHAJ
Abstract:	The relevance of information in the field of e-learning is strongly requested. The semantic web is the discipline that guarantees this relevance with its ontology system. Since this trend is still evolving, we propose in this article to bridge the gap between the semantic web and the software engineering by making the ontology development closer to the widespread software engineering community. We propose how to transform an e-learning UML class diagram into an OWL ontology. This transformation is highlighted by the conversion of some UML concepts like: class, instance, attributes, class identifier, inheritance, association relationship and composition relationship. The added value of our work is to propose to convert in a better way the UML class diagram features, the inheritance and the composition relationships by exploring respectively OWL-DL advanced features: the Value Partitions Design Pattern and the Collection Ontology. The resulting ontology is designed by the open-source ontology editor and framework for building intelligent systems Protege 4.3.0.
Keywords:	UML Model, OWL Ontology, E-learning, Value Partitions Design Pattern, The Collection Ontology.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	CORRECTION OF INFLUENCES ON THERMOGRAPHIC MEASUREMENTS FOR NON-CONTACT TEMPERATURE MEASUREMENT USING INFRARED THERMOGRAPHY
Author:	Faouaz JEFFALI, Bachir EL KIHEL, Abdelkarim NOUGAOUI, Abdelhamid KERKOUR-El MIAD, Fabienne DELAUNOIS
Abstract:	The diagnostics failures of monitoring the condition of rotation machinery in the industry are considered very significant to ensure the efficiency and safety of production. However, many serious malfunctioning to the machine could easily occur because of these failures, thus, a huge shortage in production. In this domain, In fact, the most important installation faults lead to an increase of temperature in specific areas. Infrared Thermography is a technique that has been used regularly as a predictive device for the maintenance of electrical installations. It is used around the field in order to evaluate the condition of electrical systems and equipment. This article presents information about issues that demand a specific focus during thermal tests of induction motor. Which are presented as errors that could be made at the testing phase, and especially the descriptions of the influences of parameters, on Thermographic measurements that are obtained by a conversion of raw data to digital data by the use of Flir Tools Software.
Keywords:	Thermography Camera, Moteur Asynchrone, Powder Brake, Effect Of Factors, Temperature Measurement, Thermal Image.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	AN APPROACH FOR IDENTIFYING THE PRESENCE OF FACTOR IX GENE IN DNA SEQUENCES USING POSITION VECTOR ANN
Author:	BIPIN NAIR B J, K SYED KHAMARUDHEEN, RANJITHA H S
Abstract:	Prediction of presence of genes in DNA sequences is of high importance in the domain of bioinformatics and genetics. Identification of proper gene splice junctions in DNA sequences is a difficult task. In our work, we have focused on a gene called Factor IX, the absence of which causes a deadly disorder called Haemophilia B. This paper proposes an approach for training the system to identify a specific gene by providing relevant protein sequences and identifying exact locations of splice junctions in DNA sequences. The algorithm proposed in this work has yielded promising results with an accuracy of 96.8% in detecting proper splice junctions for the given gene.
Keywords:	Haemophilia B, Factor IX, Position Vector ANN, Gene Prediction, DNA, Protein
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	ESSENTIAL KNOWLEDGE TRANSFER PROCESS MODEL TO SUPPORT DISASTER MANAGEMENT
Author:	HASNIZA YAHYA, MOHAMMAD NAZIR AHMAD, RADZIAH MOHAMAD, MOHD ZUHAILI MOHD RODZI
Abstract:	There is a lack of knowledge transfer modeling that focuses on the essence of the knowledge transfer process. This paper aims to identify the processes that are common and essential in the implementation of knowledge transfer from multiple senders to one receiver using the star topology as the architecture. This study extracts the actual processes involved during the flow of knowledge from the source to the receiver identified from the literature review and existing theories. The processes are identified as: acquire, convert, implement and store (ACIS). The model is illustrated in a case study of flood management in Malaysia. The utilization of the identified essential processes of knowledge transfer will provide stakeholders with a concrete way of transferring knowledge by standardizing the actual process of knowledge transfer. These processes may be applied in various domains that use the star topology as the communication architecture.
Keywords:	Knowledge Transfer, Knowledge Management, Knowledge Sharing, Disaster Management, Flood Management
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	NOVEL GAP ANALYSIS FRAMEWORK FOR CLOUD HEALTH INFORMATION SYSTEMS
Author:	IRFAN SYAMSUDDIN
Abstract:	This study aims to propose a novel gap analysis framework that can be used to identify any problems in Cloud Health Information Systems projects. Advance implementation of cloud computing to improve Health Information Systems needs a comprehensive gap analysis methodology considering many aspects associated with the technology. The new gap analysis is derived from two widely used methodologies namely ITPOSMO and ServQUAL. The way to integrate both techniques is discussed along with how it could be easily applied by evaluators of Cloud Health Information Systems projects.
Keywords:	Cloud Computing, Information Systems Evaluation, Gap Analysis, ITPOSMO, ServQUAL, Cloud Health Information Systems.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	A NOVEL RANK BASED CO-LOCATION PATTERN MINING APPROACH USING MAP-REDUCE
Author:	M.SHESHIKALA, D. RAJESWARA RAO, R.VIJAYA PRAKASH
Abstract:	With the increase in spatial data analysis, the co-location patterns and its dependencies are used to discover the complex patterns on spatial databases. Most of the traditional spatial data mining techniques have been implemented based on the assumption that the data is meaningful and clean. It is essential to study the data integration issues along with spatial co-locating patterns. Generally, spatial co-location mining algorithms are used to discover the spatial objects and its dependencies among them. As the data size increases, the co-location objects and its patterns are difficult to process on complex spatial objects. In this paper, an optimized spatial co-locating pattern mining framework was developed to discover the highly ranked correlated patterns using the hadoop framework. This MapReduce model was used to minimize computational time and space on complex spatial databases. Finally, the experimental results on the complex spatial data are evaluated using the proposed framework and the traditional hadoop based pattern mining models.
Keywords:	Spatial Dataset, Co-Location Models, Association Rules, Prevalence Threshold, Mapreduce
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	MIGRATION OF A RELATIONAL DATABASE RDB TO AN OBJECT ORIENTED DATABASE OODB
Author:	ALAE EL ALAMI, MOHAMED BAHAJ, ILIAS CHERTI
Abstract:	The objective of this paper is to propose a solution to the migration of RDB to OODB which is based on metadata and the principle of semantic enrichment to extract different object principles including inheritance, aggregation, and composition. Then, to achieve the transformation of the physical schema and to establish the migration of data to the target database. This is done in an automatic way, a prototype has been implemented that takes a RDB and converts it to an OODB which is part of reverse engineering. Then, to realize the relational-object data mapping that respects the passage by reference and the different object principles.
Keywords:	RDB, ORDB, OODB, Semantic Enrichment, Schema Translation, Data Mapping, Metadata, DB4O
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	OBJECT RECOGNIZER FOR ORGANIZING AND STRUCTURING UNSTRUCTURED DOCUMENTS USING INTERROGATIVE KNOWLEDGE
Author:	ISKANDAR ISHAK, FATIMAH SIDI, MARZANAH A. JABAR
Abstract:	Knowledge in unstructured documents is lacking the structured characteristics; therefore raising the problem of extracting answers when queried by simple queries. This paper proposes the Interrogative Knowledge Object- (IKO-) Recognizer that is able to model the extracted interrogative lexical constructs from unstructured documents into ontological constructs. An experiment is carried out to test performance of the IKO-Recognizer using quantitative retrieval performance metrics of recall and precision. The result shows that the extracted interrogative constructs is able to increase human understanding on knowledge available in unstructured document.
Keywords:	Interrogative Knowledge, Unstructured Documents, Object Recognizer, Information Retrieval
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	NEW ROBUST DESCRIPTOR FOR IMAGE MATCHING
Author:	KABBAI LEILA, ABDELLAOUI MEHREZ, DOUIK ALI
Abstract:	Nowadays, object recognition based on feature extraction is widely used in image matching due to its robustness to different types of image transformations. This paper introduces a new approach for extracting invariant features from interest regions. This approach is inspired from the well known Scale Invariant Feature Transform (SIFT) interest points detector and aims to improve the computational efficiency of matching and object recognition while applying geometric and photometric transformations. To do so, we replace the Histogram of Gaussian (HoG) descriptor used in SIFT by other operators based on Local Binary Patterns (LBP), Gabor filter and Pyramid of Histograms of Oriented Gradients (PHOG). The novelty of this work is the construction of several descriptors based on Gabor, PHOG and LBP functions. Leading to seven new descriptors based on several combinations of the three proposed functions LBP, Gabor and PHOG at different layers. The performance of the proposed descriptors is evaluated using the recall vs. 1-precision curves and the average Areas Under Curve (AUC) metrics. Experiments show that the proposed descriptor called Histogram of LBP, Gabor and PHOG (HLGP) achieves more stable and robust results. Experimental evaluations demonstrate that HLGP outperforms the SIFT and the recent state-of-the-art descriptors.
Keywords:	Scale Invariant Feature Transform (SIFT), Local Binary Patterns (LBP), Pyramid of Histograms of Oriented Gradients (PHOG), Gabor, image matching, local descriptor
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	DECOMPOSING AND SOLVING CAPACITATED VEHICLE ROUTING PROBLEM (CVRP) USING TWO-STEP GENETIC ALGORITHM (TSGA)
Author:	MUHAMMAD LUTHFI SHAHAB, DARYONO BUDI UTOMO, MOHAMMAD ISA IRAWAN
Abstract:	Capacitated vehicle routing problem (CVRP) is one of the vehicle routing problem (VRP) that uses capacity restriction on the vehicles used. There are many methods have been studied to solve CVRP. To solve CVRP, it is possible to decompose CVRP into regions (sub problems) that can be solved independently. A two-step genetic algorithm (TSGA) is formulated in this paper. TSGA is used to decompose CVRP and then find the shortest route for each region using two different simple genetic algorithms. TSGA is then compared with genetic algorithm (GA). To compare these two algorithms, four instances is formed, those are P50, P75, P100, and P125. For each instance, fourteen different vehicle capacities is used. The results show that TSGA is better than GA in terms of computational time and distance except for some small vehicle capacities at P50 and P75.
Keywords:	Capacitated Vehicle Routing Problem (CVRP), Genetic Algorithm (GA), Decomposition, Two-Step Genetic Algorithm (TSGA)
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	TRANSFORMING XML SCHEMA CONSTRAINING FACETS AND XML QUERIES TO OBJECT CONSTRAINT LANGUAGE (OCL)
Author:	TOUFIK FOUAD, BAHAJ MOHAMED
Abstract:	Unified Modeling Language UML became the main part of software development including web applications that use XML for exchanging structured data. Thats why there is a need for modeling XML elements with UML. Design Recovery or Reverse Engineering allows us to get conceptual schema which helps developers to understand systems and to ease its maintenance. A lot of XML Schema mapping methods focus only on getting the structural part (elements, complex types and attributes) without giving importance to constraints and restrictions and also XML Queries. In this sense our goal is to represent the mapping and the transformations rules from XML elements and queries to UML/OCL.
Keywords:	UML, OCL, XML Schema, XQuery, Transformation.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	INCREMENTAL EVOLUTIONARY GENETIC ALGORITHM BASED OPTIMAL DOCUMENT CLUSTERING (ODC)
Author:	A.KOUSAR NIKHATH, K.SUBRAHMANYAM
Abstract:	Clustering is one of the phenomenal process towards information retrieval and knowledge discovery. Cluster optimality is still a questionable factor for current benchmarking clustering strategies. In particular document clustering is most sensible towards information retrieval and knowledge discovery, which is due to the curse of high volume and high dimensionality observed in recent times. In order to this many of document clustering models have been devised in recent times, but all of these models are questionable either the case of cluster optimality, process time complexity or adoptability. Henceforth, here we devised a deep machine learning approach called incremental evolutionary genetic algorithm based optimal document clustering (ODC) process. The experiments were done on documents dataset with curse of high dimensionality and volume. The results obtained from the experiments observed to be remarkably optimistic towards document clustering and also evincing the linearity in time complexity and memory usage.
Keywords:	Text Mining, Unsupervised Learning, Document Clustering, Cluster Optimization, Evolutionary Computation, ODC
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	USING FRAMEWORK TO SYNCHRONIZE ONTOLOGY WITH RELATIONAL DATABASE
Author:	AHMED EL ORCHE, MOHAMED BAHAJ
Abstract:	Ontology is building bloc of semantic web. Ontologies evolve over time and not static. The synchronization of the relational database with the ontology is required once the ontology is changed. In this paper the authors propose an approach to synchronize the relational database with the ontology in two steps, firstly to match the relational database schema with the ontology, secondly to make design of a framework able to compare the current ontologys version with the pervious one, then manipulate the changes happened to build SQL queries to be executed in the relational database.
Keywords:	Synchronization, Semantic, Database, Datatype, Object Properties, OBDB, Ontology.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	AGENT MODEL DEVELOPMENT BY USING ONTOLOGY IN UNIVERSITYS ARCHIVING
Author:	MUHAMMAD HASBI, RETANTYO WARDOYO, JAZI EKO ISTIYANTO, KHABIB MUSTOFA
Abstract:	Email classification, based on its subject targetted to the chief. The email should be targetted to the other unit appropriate with its email content. This research is limited with the email domain at university and aimed at making agent model using ontology classify emails based on their subject and content in the universitys archiving process. The use of agent to classify emails is done in order the process run autonomously. However, using agent with ontology to classify emails based on their subject and content is still becoming something interesting to study since there is no such research done before. Hence, this research is proposed to develop models to classify emails based on content by using agent with ontology to overcome the problem of archiving. The agent used is the multi-agent which is reactive and proactive that can work autonomously. These agents classify emails and dispose them by ontology to certain unit in the university. The email classification method used is the Naive Bayesian method. The classification is based on the emails content to determine the emails topic which is the keyword of the units job description in the university. The keyword then is used to enquery it to the ontology data. The query is aimed at determining the emails target unit in the university. The ontology is the representative of the knowledge of the Units job description in the organization structure of a university. The use of ontology can result in the disposition target distributedly in the universitys units appropriate with its email subject and content. This model can be run precisely in determining the emails disposition target to a certain unit in the university.
Keywords:	Agent, Reactive, Classification, Disposition, Ontology.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	A CONCEPTUAL FRAMEWORK FOR PREDICTING FLOOD AREA IN TERENGGANU DURING MONSOON SEASON USING ASSOCIATION RULES
Author:	AZWA ABDUL AZIZ, NUR ASHIKIN HARUN, MOKHAIRI MAKHTAR, FADZLI SYED ABDULLAH, JULAILY AIDA JUSOH, ZAHRAHTUL AMANI ZAKARIA
Abstract:	Over the last decade, flooding has been one of catastrophic disaster which causes economic damage, lost life and environmental deprivations. The need for flood prediction is rising since the decision maker lacks intelligent tools to predict flood areas. The data mining and geospatial visualization will test the temporal data which include river flow and rainfall data to find patterns and new information which then will use to predict areas that expose to flood. Since Terengganu situated at east peninsular, every year in October to March will be having heavy rainfall and increasing of sea levels .To this extent, we propose a framework to support flood prediction which the outcome will intention to better manage floods through prevention, protection and emergency response.
Keywords:	Data Mining, Association Rule, Geographical Information System(GIS), Flood Area Prediction, Hydrology
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	EFFICIENT ENERGY MOBILE AGENT COLLECTOR FOR INTRUSION DETECTION SYSTEM IN WIRELESS SENSOR NETWORK
Author:	YOUSEF EL MOURABIT, AHMED TOUMANARI, MARYAM EL AZHARI, ANOUAR BOUIRDEN
Abstract:	Wireless sensor networks (WSNs) consists of a small size battery powered sensor nodes. Due to their constrained characteristics, WSNs are vulnerable to various attacks, which make the security a major concept to handle. Intrusion detection system (IDS) becomes essential tools to ensure the safety of this kind of network. However, since sensors nodes are usually equipped with small and limited energy resources, a significant limitation is presented mainly in terms of energy autonomy which therefore affects the network lifetime. Thereby, It is greatly important to ensure an efficient IDS by strategically deploying an appropriate collector to minimize the amount of energy consumed. In this paper we propose an efficient mobile agent collector to minimize energy consumption and delay transmission for IDS in WSN. The proposed mobile agent collector is validated through simulation experiments using OMNET++ and Castalia simulator, sensor nodes positions are predefined by the base station whilst Dijkstras algorithm is used to find the optimal path towards the base station passing by source nodes to gather the required data. The simulation provides empirical results illustrating the effectiveness of our approach.
Keywords:	Mobile Agent, Intrusion Detection, Data Collection, Energy Consumption, Wireless Sensor Network.
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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Title:	A REVIEW OF MOBILE IP PROTOCOL FOR THE IMPLEMENTATION ON DUAL STACK MOBILITY MANAGEMENT
Author:	FAROUK ABDUL JALIN, NOR EFFENDY OTHMAN
Abstract:	Network mobility nowadays plays the most crucial roles in delivering seamless mobility connectivity to billions of users around the world, and mostly the process of providing quality services are transparent from users involvement. While the world itself in the midst of transitioning of the Internet Protocol (IP), IPv4 and IPv6 nodes will roam across the network. However, the current state of implementation and the introduction of the current transition scenario is not focused on the implementation of mobility communications. The trend of increasing users mobility and the demand of speeding up the transition to IPv6 has obviously triggered the need for developing network mobility management suited for the mixed-IP environment. Current mobility protocols tightly coupled with the IP version due to the particularities of the protocols itself. Considering the scenario IPv6 will become the only protocol version eventually, the deployment will utilize the IPv6 mobility platform to support the dual stack environment. The goal of this investigation is to analyze and evaluate the different in existing IP mobility solution operating in mobile IP network, pinpointing each solution shortcoming and suggesting methods for improving the issues including handover latency, packet loss, and delivery failure, and signaling overhead issues in IP mobility management support protocol to suit the IP mobility support protocol in the mixed IP network environment. This article will present a study of the mechanism involved in various mobility protocols that have been standardized to study the best solution for the implementation of dual stack mobility management.
Keywords:	Mobility Management, And Dual Stack
Source:	Journal of Theoretical and Applied Information Technology 31^st May 2016 -- Vol. 87. No. 3 -- 2016
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