International Journal of Communications


ISSN: 1998-4480
Volume 14, 2020

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

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Volume 14, 2020


Title of the Paper: Toward an Improved Hybrid Model for Simulatingcontinuous Flow Microwave Heating of Water

 

Authors: G. Cuccurullo, L. Giordano, G. Viccione

Pages: 16-23

http://doi.org/10.46300/9107.2020.14.4

Abstract: This paper introduces an improved hybrid(numerical-analytical) model for simulating microwave (MW)heating of laminar duct flow. The proposed procedure linksnumerical results to analytical calculations, providing a tool foraccurate prediction of the bulk temperature distribution in arelatively reduced computation time, enhancing the design ofMW heating of continuous flow water systems. The hybridsolution was obtained by first numerically solving the Maxwellequations in correspondence of an average dielectricpermittivity; discrete values of the cross-section averaged heatgeneration arising from the numerical solution were firstcorrected by a suitable weighting function and then interpolatedby a function resulting from the discrete Fourier series. Themomentum and the energy equations fed by the above calculatedheat generation distribution were uncoupled from Maxwellequations. The problem being linear, the analytical thermalsolution was sought as the sum of two partial solutions, each oneaffected by a single non-homogeneity. The former solution turnedout to be the classical Graetz problem, while the second one,driven by the heat generation, was solved in closed form by thevariation of parameters method. On the other hand, the sameproblem was solved by a complete numerical approach in orderto have a reference solution; thus, the Maxwell equations and theenergy balance for the flowing fluid were simultaneously solvedconsidering temperature dependent dielectric permittivity. Fullydeveloped velocity, thermally developing conditions and no phasetransition during the heating process were assumed for both thehybrid and the numerical solution. The availability of thereference solution allowed to prove the substantial enhancementof the hybrid solution in describing the bulk temperaturedistribution along the pipe when compared to the one related tothe classical constant properties approach. Results, presentedand discussed for different inlet velocities, show that increasingvelocities provide a better agreement due to the smoothing effectrealized by higher frequencies fluctuations in heat generationdistribution felt by the flowing fluid.


Title of the Paper: Horn Antennas Loaded with Metamaterial for Satellite band Application

 

Authors: Mohamed Lashab, C. Zebiri, F. Benabdelaziz

Pages: 12-15

http://doi.org/10.46300/9107.2020.14.3

Abstract: Split Ring Resonator (SRR) as Metamaterial hasbeen loaded on pyramidal horn antennas for Ku band or satelliteapplication. The aim of this work is to exhibit the advantage ofmetamaterial (SRR) use inside horn antenna; this is mainlyenhancement of the bandwidth towards lower frequency andimprovement of the radiation pattern gain. The horn antenna isfeed by a monopole antenna of optimised length. The obtainedresults from HFSS simulation concerning the constitutiveparameters of the (SRR), show that there is a DNG (DoubleNegative) permeability and permittivity in the frequency ofinterest. In this work the operating bandwidth of the proposedantenna (notched band) is in the range of 9.80 GHz to 10.30 GHz,and 10.80 GHz to 11.20 GHz as Ku or satellite application


Title of the Paper: Contemporary Perception Of Task Scheduling Techniques In Cloud: A Review

 

Authors: Samah Alshathri

Pages: 7-11

http://doi.org/10.46300/9107.2020.14.2

Abstract: Typically, the constant changes in computers and communications technology led to the need of on-demand network access to a shared computing resources to reduce cost and time and this is known as Cloud computing, which delivers computing services to users as a pay-as-you-go manner by emerging several distributed and high performance computing concepts. The cloud makes reaching any information or source possible from anywhere eliminating the setup and instillation step such that the user and the hardware may co-exist in different places. This comes beneficial for the users or the small companies that cannot effort to pay for the hardware, storage or resources as the big companies. Many of the studies on cloud computing was dedicated to the performance efficiency of task scheduling. Scheduling is a wide concept and it is one of the most important issues that generally work on mapping tasks to appropriate resources efficiently and effectively using one or more strategy. This paper have reviewed and classified the most recent scheduling algorithms in cloud computing and gave examples on each.


Title of the Paper: Mathematical Modeling of Optimal Node Deployment for Indoor Wireless Sensor Networks

 

Authors: Lial Raja Missif, Mohammad M. Kadhum

Pages: 1-6

http://doi.org/10.46300/9107.2020.14.1

Abstract: Wireless Sensor Network (WSN) has been utilized in environmental monitoring where large number of connected sensor nodes collaboratively sense and report conditions of the monitoring area. Indoor event sensing and tracking is one of WSN applications that has a significant effect on saving cost economically and humanitarianly. Efficient sensor node deployment can ensure coverage, connectivity, and stability of the network. This paper presents the mathematical modeling of a node deployment for indoor wireless sensor networks where the optimal number of nodes required to satisfy the coverage of the indoor area and network connectivity requirements is determined. The proposed solution contributes to the reduction in the cost and maintenance of the network as less number of sensors is needed, compared to the traditional grid node deployment.