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Multi-Criteria Prediction Mechanism for Vehicular Wi-Fi Offloading

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Computers, Materials & Continua 2021年第11期69卷 2313-2337页

作者： Mahmoud Alawi raed alsaqour Abdi Abdalla Maha Abdelhaq Mueen Uddin Department of Computer Engineering and IT Faculty of EngineeringZanzibar UniversityZanzibarTanzania Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia Department of Electronics and Telecommunications Engineering College of ICTUniversity of Dar es SalaamTanzania Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Faculty of Science Universiti Brunei DarussalamNegara Brunei Darussalam

The growing demands of vehicular network applications,which have diverse networking and multimedia capabilities that passengers use while traveling,cause an overload of cellular *** scenario affects the quality of service(QoS)of vehicle and non-vehicle ***,wireless fidelity access points Wi-Fi access point(AP)and fourth generation long-term evolution advanced(4G LTE-A)networks are broadly ***-Fi APs can be utilized by vehicle users to stabilize 4G LTE-A ***,utilizing the opportunistic Wi-Fi APs to offload the 4G LTE-A networks in a vehicular ad hoc network environment is a relatively difficult *** condition is due to the short coverage of Wi-Fi APs and weak deployment strategies of *** studies have proposed that offloading mechanisms depend on the historical Wi-Fi connection patterns observed by an interest vehicle in making an offloading ***,depending solely on the historical connection patterns affects the prediction accuracy and offloading ratio of most existing mechanisms even when AP location information is *** present study proposed a multi-criteria wireless availability prediction(MWAP)mechanism,which utilizes historical connection patterns,historical data rate information,and vehicular trajectory computation to predict the next available AP and its expected data capacity in making offloading *** proposed mechanism is decentralized,where each vehicle makes the prediction by *** characteristic helps the vehicle users make a proactive offloading decision that maintains the QoS for different applications.A simulation utilizing MATLAB was conducted to evaluate the performance of the proposed mechanism and benchmark it with related state-of-the-art mechanisms.A comparison was made based on the prediction error and offloading ratio of the proposed mechanism in several *** MWAP mechanism exhibited a lower prediction error(i.e.,below 20%)and higher offloading rat

关键词： Vehicular network markov predictor 4G LTE-A Wi-Fi offloading prediction model heterogeneous network

A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks

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Computer Systems Science & Engineering 2023年第4期45卷 329-342页

作者： Nada M.Elfatih Elmustafa Sayed Ali Maha Abdelhaq raed alsaqour Rashid A.Saeed Department of Electrical and Electronics Engineering Red Sea UniversityPort Sudan33311Sudan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Electronics Engineering Sudan University of Science and TechnologyKhartoum11111Sudan

In cognitive radio networks(CoR),the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection *** optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold ***,these methods do not take into account the effect of sample size and its effect on improving CoR *** general,a large sample size results in more reliable detection,but takes longer sensing time and increases ***,the locally sensed sample size is an optimization ***,optimizing the local sample size for each cognitive user helps to improve CoR *** this study,two new methods are proposed to find the optimum sample size to achieve objective-based improved(single/double)threshold energy detection,these methods are the optimum sample size N^(*)and neural networks(NN)*** the evaluation,it was found that the proposed methods outperform the traditional sample size selection in terms of the total error rate,detection probability,and throughput.

关键词： Cognitive radio spectrum sensing energy detection double threshold neural network machine learning optimization quality of service

Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

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Journal of Systems Science and Systems Engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq raed alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

Hyperledger Fabric Blockchain: Secure and Efficient Solution for Electronic Health Records

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Computers, Materials & Continua 2021年第8期68卷 2377-2397页

作者： Mueen Uddin M.S.Memon Irfana Memon Imtiaz Ali Jamshed Memon Maha Abdelhaq raed alsaqour Faculty of Science Universiti Brunei DarusslamGadongBE1410Negara Brunei Darussalam CSE Department QUESTNawabshahPakistan School of Computing and Mathematics Ulster UniversityJordanstown CampusNewtownabbeyBT370QBUK Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic UniversityRiyadh93499Saudi Arabia

Background:Electronic Health Record(EHR)systems are used as an efficient and effective technique for sharing patient’s health records among different hospitals and various other key stakeholders of the healthcare industry to achieve better diagnosis and treatment of patients ***,the existing EHR systems mostly lack in providing appropriate security,entrusted access control and handling privacy and secrecy issues and challenges in current hospital ***:To solve this delicate problem,we propose a Blockchain-enabled Hyperledger Fabric Architecture for different EHR ***:In our EHR blockchain system,Peer nodes from various organizations(stakeholders)create a ledger network,where channels are created to enable secure and private communication between different stakeholders on the ledger *** patients and other stakeholders are identified and registered on the network by unique digital certificates issued by membership service provider(MSP)component of the fabric ***:We created and implemented different Chaincodes to handle the business logic for executing separate EHR transactions on the *** proposed fabric architecture provides a secure,transparent and immutable mechanism to store,share and exchange EHRs in a peer-to-peer network of different healthcare *** ensures interoperability,scalability and availability in adapting the existing EHRs for strengthening and providing an effective and secure method to integrate and manage patient records among medical institutions in the healthcare ecosystem.

关键词： Electronic health records blockchain hyperledger fabric patient data privacy private permissioned blockchain healthcare ecosystem

Multivariate Aggregated NOMA for Resource Aware Wireless Network Communication Security

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Computers, Materials & Continua 2023年第1期74卷 1693-1708页

作者： V.Sridhar K.V.Ranga Rao Saddam Hussain Syed Sajid Ullah Roobaea Alroobaea Maha Abdelhaq raed alsaqour ECE Department Vidya Jyothi Institute of TechnologyIndia CSE Department Neil Gogte Institute of TechnologyIndia School of Digital Science Universiti Brunei DarussalamJalanTungku LinkGadong BE1410Brunei Darussalam Department of Information and Communication Technology University of Agder(UiA)N-4898 GrimstadNorway Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology College of Computer and Information SciencesPrincess Nourahbint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

NonorthogonalMultiple Access(NOMA)is incorporated into the wireless network systems to achieve better connectivity,spectral and energy effectiveness,higher data transfer rate,and also obtain the high quality of services(QoS).In order to improve throughput and minimum latency,aMultivariate Renkonen Regressive Weighted Preference Bootstrap Aggregation based Nonorthogonal Multiple Access(MRRWPBA-NOMA)technique is introduced for network *** the downlink transmission,each mobile device’s resources and their characteristics like energy,bandwidth,and trust are *** by,the Weighted Preference Bootstrap Aggregation is applied to recognize the resource-efficient mobile devices for aware data transmission by constructing the different weak hypotheses i.e.,Multivariate Renkonen Regression *** on the classification,resource and trust-aware devices are selected for *** of the proposed MRRWPBA-NOMA technique and existing methods are carried out with different metrics such as data delivery ratio,throughput,latency,packet loss rate,and energy efficiency,signaling *** simulation results assessment indicates that the proposed MRRWPBA-NOMA outperforms well than the conventional methods.

关键词： Mobile network multivariate renkonen regression weighted preference bootstrap aggregation resource-aware secure data communication NOMA

Cognitive Radio Networks Using Intelligent Reflecting Surfaces

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Computer Systems Science & Engineering 2022年第11期43卷 751-765页

作者： raed Alhamad Information Technology Department Saudi Electronic UniversityRiaydhKingdom of Saudi Arabia

In this article,we optimize harvesting and sensing duration for Cognitive Radio Networks(CRN)using Intelligent Reflecting Surfaces(IRS).The secondary source harvests energy using the received signal from node ***,it performs spectrum sensing to detect Primary Source PS *** PS activity is not detected,The Secondary Source SS transmits data to Secondary Destination SD where all reflected signals on IRS are in phase at *** show that IRS offers 14,20,26,32,38,44,50 dB enhancement in throughput using M=8,16,32,64,128,256,512 reflectors with respect to CRN without *** also suggested to add a second IRS between A and SS to increase the harvested *** use of 2 IRS with M1=8 reflectors in the first IRS and M2=8 reflectors in the second IRS offers 18 dB gain(respectively 32 dB)gain with respect to a single IRS with M2=8 reflectors(respectively without IRS).The use of 2 IRS with M1=16 reflectors in the first IRS and M2=8 reflectors in the second IRS offers 28 dB gain(respectively 42 dB)gain with respect to a single IRS with M2=8 reflectors(respectively without IRS).Our results are valid for Nakagami channels of fading figure *** also provide the throughput of IRS with energy *** have studied packet waiting time and total delay in the presence and absence or *** Signal to Noise Ratio(SNR)per bit equal to 0 dB,packet waiting time is 0.9 ms when there is no IRS and 0.5 ms when there is an IRS with M=8 *** SNR per bit equal to 0 dB,total transmission delay is 54 ms when there is no IRS and 1.5 ms when there is an IRS with M=8 *** show that the energy efficiency is larger when both harvesting and sensing durations are *** maximum of energy efficiency is 260 Mbit/s/Hz/J when harvesting and sensing durations are optimized while the maximum is 80 Mbit/s/Hz/J when harvesting and sensing durations are not optimized.

关键词： Cognitive radio networks energy harvesting spectrum sensing throughput analysis

Symbol Error Probability of Incremental Relaying with Distributed/Centralized Relay Selection

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China Communications 2020年第11期17卷 141-155页

作者： raed Alhamad Hatem Boujemaa Saudi Electronic University College of Computation and InformaticsRiyadh13316Saudi Arabia COSIM-SUPCOM Tunis2083 Tunisia

In this paper,we derive the Symbol Error Probability(SEP)of cooperative systems with incremental relaying and Distributed Relay Selection(DRS).The relays remain idle when the Signal to Noise Ratio(SNR)between the source and destination is larger than ***,we activate a relay using *** nodes transmit only if their SNR is larger than thresholdβ.If the SNRs of more than two relays is larger thanβ,there is a collision and the destination uses only the received signal from the *** all relays have SNR less thanβ,no relay is ***βis optimized to yield the lowest SEP at the *** results are compared to centralized relay selection using opportunistic Amplify and Forward(OAF),Partial and Reactive Relay Selection(PRS and RRS).We compare our results to computer simulations for Rayleigh fading channels.

关键词： incremental relaying distributed relay selection centralized relay selection rayleigh fading channels

Solar Energy Harvesting Using a Timer-Based Relay Selection

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Computers, Materials & Continua 2023年第1期74卷 2149-2159页

作者： raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiyadhSaudi Arabia UCAR-SUPCOM-COSIM Ariana2083Tunisia

In this paper,the throughput and delay of cooperative communications are derived when solar energy is used and relay node is selected using a *** source and relays harvest energy from sun using a photo voltaic *** harvested power is used by the source to transmit data to the ***,a selected relay amplifies the signal to the ***,partial and reactive relay selection are *** relay transmits when its timer *** timer is set to a value proportional to the inverse of its Signal to Noise Ratio(SNR).Therefore,the relay with largest SNR will transmit first and its signal will be detected by the other relays that will remain idle to avoid *** duration is optimized to maximize the ***’s waiting time and total delay are also *** also derive the statistics of SNR when solar energy is *** harvested power from sun is proportional to the sum of a deterministic radiation intensity and a random attenuation due to weather effects and clouds *** fixed radiation intensity depends on season,month and time t in *** throughput of cooperative communications with energy harvesting from sun was not yet studied.

关键词： Solar energy harvesting timer based relay selection relaying techniques throughput and delay analysis

Throughput Enhancement for NOMA Systems Using Intelligent Reflecting Surfaces

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Computers, Materials & Continua 2022年第12期73卷 5233-5244页

作者： raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiaydhSaudi Arabia UCAR-SUPCOM-COSIM Ariana2083Tunisia

In this article,we optimize the powers associated to Non Orthogonal Multiple Access(NOMA)users,sensing and harvesting duration for Cognitive Radio Networks(CRN).The secondary source harvests energy from node A ***,it senses the channel to detect primary ***,the secondary source transmits a signal that is reflected by Intelligent Reflecting Surfaces(IRS)so that all reflections have a zero phase at any user.A set Ii of reflectors are associated to user *** use ofM=Mi=512,256,128,64,32,16,8 reflectors per user offers 45,42,39,36,33,30,27 dB gain *** absence of *** also suggest the use of IRS in energy *** use P=8 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 7 and 38 dB gain *** IRSM=Mi=8 and the absence of *** use of P=16 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 9 and 42 dB gain *** IRS M=Mi=8 and the absence of IRS.

关键词： CRN NOMA spectrum sensing energy harvesting throughput maximization