Browsing by Author "Olajubu, Emmanuel"

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    Open Access
    An Enhanced Mobile Device Based Navigation Model: Ubiquitous Computing
    (IGI Global, 2018-01) Olajubu, Emmanuel; efiong, john E
    Thisarticleformulated,simulatedandevaluatedanenhancedmodelforanon-linear/non-Gaussian integratedGlobalPositioningSystem(GPS)andInertialNavigationSystem(INS)mobile-baseddevice navigationsystemusingtheParticleFilter(PF).Thiswaswithaviewtoenhancingtheaccuracy andminimizethedelayexperiencedintheexistingsystemwhichreliesonlineardata.Anandroid drivenInfinixX5mobiledevicewithGPSandINS-basedsensorswasusedtoimplementthemodel formulated,standardBayesianestimatorswereusedtogeneratenon-lineardatasetswithGaussian/ non-GaussianwhitenoisesformobiledevicebasedINS/GPSsensors.Amathematicalmodelwas formulatedusingSamplingImportance-weightResampling(SIR)algorithmofthePF.Theconceptual modelwasdevelopedusingSimulinkandthedesignspecificationwasdoneusingUnifiedModeling Language(UML).ThemodelwassimulatedwithMATLABandthesimulationresultsobtainedwere evaluatedusingstandardmetrics,andbenchmarkedwithexistingmodel.Theoverallresultsshowed thattheproposedmodelperformedbetterthanexistingonesintermofaccuracy.However,themodel didnotimpactondelayreduction.
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    Open Access
    Lightweight Agents, Intelligent Mobile Agent and RPC Schemes: A Comparative Analysis.
    (2010-01) Olajubu, Emmanuel; Ajayi, Anuoluwapo Olanrewaju; Aderounmu, Ganiyu A.
    This paper presents the performance comparison of Lightweight Agents, Single Mobile Intelligent Agents and Remote Procedure Call which are tools for implementing communication in a distributed computing environment. Routing algorithms for each scheme is modeled based on TSP. The performance comparison among the three schemes is based on bandwidth overhead with retransmission, system throughput and system latency. The mathematical model for each performance metric is presented, from which mathematical model is derived for each scheme for comparison. The simulation results show that the LWAs has better performance than the other two schemes in terms of small bandwidth retransmission overhead, high system throughput and low system latency. The Bernoulli random variable is used to model the failure rate of the simulated network which is assumed to have probability of success p = 85% and the probability of failure q = 15%. The network availability is realized by multiplicative pseudorandom number generator during the simulation. The results of simulation are presented.
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    Open Access
    A Low Cost Course Information Syndication System
    (Journal of information technology education, 2011-01) Ajayi, Anuoluwapo Olanrewaju; Olajubu, Emmanuel; Bello, Sururah Apinke; Soriyan, H.Abimbola
    Executive Summary This study presents a cost effective, reliable, and convenient mobile web-based system to facili-tate the dissemination of course information to students, to support interaction that goes beyond the classroom. The system employed the Really Simple Syndication (RSS) technology and was developed using Rapid Application Development (RAD) methodology. The design of the system was modeled using Unified Modeling Language (UML) diagrams, while its implementation was done using Java Micro Edition (JME) and "PHP: Hypertext Preprocessor" (PHP). A simulation technique was used to evaluate the proposed system performance by comparing the approach used in its design to one adopted in a similar study, using response time and bandwidth consumption as metrics. The results obtained revealed that the performance of the proposed syn-dication system was better. Similarly, an experiment to investigate the students' perception of the system was conducted, with students' responses revealing a tremendous success of this project.
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    Open Access
    Network resources management in a multi-agent system: A simulative approach
    (2010-10) Olajubu, Emmanuel; Aderounmu, Ganiyu A.; Adagunodo, Emmanuel R.
    Multi-agent systems (i.e. systems comprising many agents) have been proposed for many Internet and distributed applications. The proposed systems have little or no consideration of the effects of this multi-agent approach on network resources. In this paper, we presented a simulation assessment of the effect of multi-agent systems on network resources. The routing scheme of the agents was formulated based on the travelling salesman problem. Lightweight agent (LWA) controller was modelled using a fuzzy logic toolbox in the MATLAB environment. The performance metrics of bandwidth usage, response time and throughput were used to compare the network resources usage by different groups of LWAs (10 LWAs, 40 LWAs, 100 LWAs, 150 LWAs) during their computational task on the network. Java programs were written for the implementation of lightweight agents in the simulation. The inputs to the system were realised by multiplicative pseudorandom number generation during the simulation. The simulation result analysis was carried out based on the performance metrics stated above for the four groups of agents. Increasing the number of LWAs in a simulated multi-agent system decreased the response time but increased the throughput and the bandwidth usage. All these performance measures should be considered for developing countries with bandwidth shortages, because having too many agents in a multi-agent system could result in bandwidth wastages.
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    A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network
    (IGI Global, 2016-04) Akinboro, Solomon A; Olajubu, Emmanuel
    This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.
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    A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network
    (International Journal of Advanced Pervasive and Ubiquitous Computing, 2016-06) Solomon, Akinboro; Olajubu, Emmanuel; Ogundoyin, Ibrahim; Aderounmu, Ganiyu
    This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.