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Articles 1471 - 1500 of 3020
Full-Text Articles in Physical Sciences and Mathematics
Axial Flux Pm Bldc Motor Design Methodology And Comparison With A Radial Flux Pm Bldc Motor, Ertuğrul Yeşi̇lbağ, Yasemi̇n Ertuğrul, Lale Ergene
Axial Flux Pm Bldc Motor Design Methodology And Comparison With A Radial Flux Pm Bldc Motor, Ertuğrul Yeşi̇lbağ, Yasemi̇n Ertuğrul, Lale Ergene
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this paper is to develop a methodology to design an axial flux permanent magnet brushless direct current (AFPM) motor for a washing machine and compare the results with a conventional radial flux permanent magnet brushless direct current (RFPM) motor with the same power ratings. The AFPM motor is designed based on the maximum power density for an optimum inner-to-outer diameter ratio by using the reference RFPM motor constraints, such as the same rated torque at the rated speed. Both motors use the same materials in terms of lamination, permanent magnet, and conductor. They both use ferrite magnets; …
Lossless Predictive Coding Of Electric Signal Waveforms, Krzysztof Duda
Lossless Predictive Coding Of Electric Signal Waveforms, Krzysztof Duda
Turkish Journal of Electrical Engineering and Computer Sciences
This paper describes a new predictive coding algorithm designed for lossless compression of electric signal waveforms. Prediction coefficients are obtained from the sinusoidal signal autoregressive model. Predictors for a single sinusoid and the sum of two and three sinusoids are considered. Integer-to-integer coding is obtained by the proper (i.e. reversible) quantization of computations. The proposed coding algorithm shows better performance than the commonly used 2nd order differences coding and linear prediction coding that is optimal in the least squares sense.
A Reduced-Order Observer Based On Stator Flux Estimation With Straightforward Parameter Identification For Sensorless Control Of Dfigs, Rahim Ajabi Farshbaf, Mohammad Reza Azizian, Vahid Eslampanah
A Reduced-Order Observer Based On Stator Flux Estimation With Straightforward Parameter Identification For Sensorless Control Of Dfigs, Rahim Ajabi Farshbaf, Mohammad Reza Azizian, Vahid Eslampanah
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new reducer-order observer for sensorless control of doubly fed induction generators (DFIGs), based on the Luenberger algorithm. Stable operation of the suggested observer is also considered in the design guidelines. Stator flux is selected as the state variable for the observer and its estimation error is used to correct the observer operation. The gain matrix of the proposed observer is calculated on the basis of flux error dynamics. The adaptation mechanism of the proposed observer is selected based on an estimation of rotor currents. A proportional integrator (PI) block is used in the structure of the …
Fault Location Determination For Transmission Lines With Different Series-Compensation Levels Using Transient Frequencies, Düzgün Akmaz, Mehmet Sali̇h Mami̇ş, Müslüm Arkan, Mehmet Emi̇n Tağluk
Fault Location Determination For Transmission Lines With Different Series-Compensation Levels Using Transient Frequencies, Düzgün Akmaz, Mehmet Sali̇h Mami̇ş, Müslüm Arkan, Mehmet Emi̇n Tağluk
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, based on the theory of traveling waves, the fault distances on long transmission lines with various series-compensation levels are determined using transient current and voltage frequencies. Transmission lines with series compensation are modeled using Alternative Transients Program software with frequency-dependent effects on the line included in the simulation. The transient current and voltage signals are obtained from the model. A fast Fourier transform is used for frequency-domain conversion and fault location is estimated from the frequencies of fault-generated harmonics in the transient spectrum. The algorithm is implemented in MATLAB. To investigate the effect of compensation on accuracy, …
Robust Control For Line-Of-Sight Stabilization Of A Two-Axis Gimbal System, Mehmet Baskin, Mehmet Kemal Leblebi̇ci̇oğlu
Robust Control For Line-Of-Sight Stabilization Of A Two-Axis Gimbal System, Mehmet Baskin, Mehmet Kemal Leblebi̇ci̇oğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Line-of-sight stabilization against various disturbances is an essential property of gimbaled imaging systems mounted on mobile platforms. In recent years, the importance of target detection from higher distances has increased. This has raised the need for better stabilization performance. For that reason, stabilization loops are designed such that they have higher gains and larger bandwidths. As these are required for good disturbance attenuation, sufficient loop stability is also needed. However, model uncertainties around structural resonances impose strict restrictions on sufficient loop stability. Therefore, to satisfy high stabilization performance in the presence of model uncertainties, robust control methods are required. In …
Prognosis Of Muscular Dystrophy With Extrinsic And Intrinsic Descriptors Through Ensemble Learning, Sathyavikasini Kalimuthu, Vijaya Vijayakumar
Prognosis Of Muscular Dystrophy With Extrinsic And Intrinsic Descriptors Through Ensemble Learning, Sathyavikasini Kalimuthu, Vijaya Vijayakumar
Turkish Journal of Electrical Engineering and Computer Sciences
Muscular dystrophy is a neuromuscular disorder that impairs the functioning of the locomotive muscles. Large deletion and duplication mutations in the gene sequences pave the way for these muscular dystrophies. Any heritable change can be used as input in computational studies such as pattern and classification models. Mutated gene sequences are generated by adopting the positional cloning approach on the reference cDNA sequence with mutational information from the Human Gene Mutational Database (HGMD). The extrinsic and intrinsic descriptors of the mutated gene sequence are indispensable to identifying the disease. This work describes a computational approach of building a disease classification …
Multiverse Optimized Fuzzy-Pid Controller With A Derivative Filter For Load Frequency Control Of Multisource Hydrothermal Power System, Amit Kumar, Sathans Suhag
Multiverse Optimized Fuzzy-Pid Controller With A Derivative Filter For Load Frequency Control Of Multisource Hydrothermal Power System, Amit Kumar, Sathans Suhag
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a multiverse optimized (MVO) fuzzy PID controller with a derivative filter (fuzzy-PIDF) is proposed for the load frequency control (LFC) of a two-area multisource hydrothermal power system. The superiority of the MVO algorithm is demonstrated by comparing the system LFC performance with integral and fuzzy-PIDF controllers, both optimized using MVO, as well as some of the recent heuristic optimization techniques such as the ant lion optimizer, gray wolf optimizer, differential evolution, bacterial foraging optimization algorithm, and particle swarm optimization. To the best of the knowledge of the authors, the use of the MVO technique has not yet …
Sample Group And Misplaced Atom Dictionary Learning For Face Recognition, Meng Wang, Zhengping Hu, Zhe Sun, Mei Zhu, Mei Sun
Sample Group And Misplaced Atom Dictionary Learning For Face Recognition, Meng Wang, Zhengping Hu, Zhe Sun, Mei Zhu, Mei Sun
Turkish Journal of Electrical Engineering and Computer Sciences
Latest research results have demonstrated the effectiveness of both sparse (or collaborative) representation and dictionary learning for problem solving in face recognition and other signal classification. Considering the fact that an informative dictionary helps a lot in sparse coding, a novel model that consists of group dictionary learning and high-quality joint kernel collaborative representation was proposed in this paper, where rich information from original and virtual space was mined and constructed as a sample group space to improve classification accuracy. Meanwhile, joint kernel collaborative representation with an $\ell_{2}$-regularization-based classifier was used to capture more nonlinear structure and minimize the time …
Method Of Singular Integral Equations In Diffraction By Semi-Infinite Grating: $H$-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky
Method Of Singular Integral Equations In Diffraction By Semi-Infinite Grating: $H$-Polarization Case, Mstislav Kaliberda, Leonid Lytvynenko, Sergey Pogarsky
Turkish Journal of Electrical Engineering and Computer Sciences
Diffraction of the $H$-polarized electromagnetic wave by a semi-infinite strip grating is considered. The scattered field is represented as a superposition of the field induced by the currents on the strips of an infinite periodic grating and the field induced by the correction current excited due to end of the grating. Singular integral equations with additional conditions for infinite and semi-infinite periodic gratings are obtained. The current on the strips and spectral function of scattered field are expressed in terms of the solution of these equations. Numerical results for the near and far fields distribution are represented.
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
A Random Number Generator For Lightweight Authentication Protocols: Xorshiftr+, Umut Can Çabuk, Ömer Aydin, Gökhan Dalkiliç
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the results of research that aims to find a suitable, reliable, and lightweight pseudorandom number generator for constrained devices used in the Internet of things. Within the study, three reduced versions of the xorshift+ generator are built. They are tested using the TestU01 suite as well as the NIST suite to measure their ability to produce randomness and performance values along with some other existing generators. The best of our reduced variations according to our tests, called the xorshiftR+, demonstrated great suitability for lightweight devices considering its randomness, performance, and resource usage.
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
On The Design Of Equal Division Single-Band Filtering Dividers With An Extended Transmission Line And Resistor As Isolation Elements, Zafar Bedar Khan, Huiling Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a new scheme for effective output port isolation and return loss in RF-filtering divider design. The proposed design incorporates an extended transmission line and a conventional resistor as isolation elements. The technique has a simpler microstrip circuit implementation when it comes to the integration of a single-band band-pass filter with a Wilkinson power divider to achieve simultaneous filtering-dividing action. It is established that if a band-pass filter with a certain fractional-bandwidth is matched to 70.7 $\Omega $, a transmission line section and isolation resistor are sufficient for achieving reasonable output port return loss and isolation in the …
Development Of Metal Oxide Arrester Block Using A Rare Earth Element For Very Fast Transient Overvoltage Applications, Kannadasan Raju, Valsalal Prasad, Jayavel Ramasamy
Development Of Metal Oxide Arrester Block Using A Rare Earth Element For Very Fast Transient Overvoltage Applications, Kannadasan Raju, Valsalal Prasad, Jayavel Ramasamy
Turkish Journal of Electrical Engineering and Computer Sciences
The protection ability of metal oxide arresters against switching, lightning, and steep current surges has been well proven. On the contrary, during the invasion of very fast transients, the existing arrester fails to operate due to delay in its initial response. In order to decrease the delay, it is imperative to improve the electrical properties of the arrester such as nonlinearity and voltage gradient with reduced capacitive effect. In this context, new arrester blocks are developed with the addition of a rare earth element, namely scandium trioxide (Sc$_{2}$O$_{3})$, and then sintered with a microwave sintering process. Owing to the uniform …
A Hybrid Maco And Bfoa Algorithm For Power Loss Minimization And Total Cost Reduction In Distribution Systems, Muthubalaji Sankaramoorthy, Malathi Veluchamy
A Hybrid Maco And Bfoa Algorithm For Power Loss Minimization And Total Cost Reduction In Distribution Systems, Muthubalaji Sankaramoorthy, Malathi Veluchamy
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a multiobjective optimization methodology to optimally place a STATCOM in electric power distribution networks. The combination of multiobjective ant colony optimization (MACO) and the bacterial foraging optimization algorithm (BFOA) is proposed to minimize the power loss and total cost. The main intention of this analysis is to optimally place the STATCOM at multiple locations such as the transmission side, middle, and load side. Identifying the type and location of the STATCOM is a combinatorial optimization problem in power systems. In order to overcome this problem, the combination of hybrid MACO and BFOA algorithms is applied in this …
A Neural Network Approach To Navigation Of A Mobile Robot And Obstacle Avoidance In Dynamic And Unknown Environments, Farhad Shamsfakhr, Bahram Sadeghi Bigham
A Neural Network Approach To Navigation Of A Mobile Robot And Obstacle Avoidance In Dynamic And Unknown Environments, Farhad Shamsfakhr, Bahram Sadeghi Bigham
Turkish Journal of Electrical Engineering and Computer Sciences
Mobile robot navigation and obstacle avoidance in dynamic and unknown environments is one of the most challenging problems in the field of robotics. Considering that a robot must be able to interact with the surrounding environment and respond to it in real time, and given the limited sensing range, inaccurate data, and noisy sensor readings, this problem becomes even more acute. In this paper, we attempt to develop a neural network approach equipped with statistical dimension reduction techniques to perform exact and fast robot navigation, as well as obstacle avoidance in such a manner. In order to increase the speed …
Classification Of Eeg Signals Of Familiar And Unfamiliar Face Stimuli Exploiting Most Discriminative Channels, Abdurrahman Özbeyaz, Sami̇ Arica
Classification Of Eeg Signals Of Familiar And Unfamiliar Face Stimuli Exploiting Most Discriminative Channels, Abdurrahman Özbeyaz, Sami̇ Arica
Turkish Journal of Electrical Engineering and Computer Sciences
The objective of the study is to classify electroencephalogram signals recorded in a familiar and unfamiliar face recognition experiment. Frontal views of familiar and unfamiliar face images were shown to 10 volunteers in different sessions. In contrast to previous studies, no marker button was used during the experiment. Participants had to decide whether the displayed face was familiar or unfamiliar at the instant of stimulus presentation. The signals were analyzed in the preprocessing, channel selection, feature extraction, and classification stages. The novel two-feature extraction and eight-channel selection methods were applied to the analyses. Sixteen classification results were compared and the …
Reactive Power Optimization In A Power System Network Through Metaheuristic Algorithms, Chandragupta Mauryan Kuppamuthu Sivalingam, Subramanian Ramachandran, Purrnimaa Shiva Sakthi Rajamani
Reactive Power Optimization In A Power System Network Through Metaheuristic Algorithms, Chandragupta Mauryan Kuppamuthu Sivalingam, Subramanian Ramachandran, Purrnimaa Shiva Sakthi Rajamani
Turkish Journal of Electrical Engineering and Computer Sciences
Reactive power optimization (RPO) in a power system is a rudimentary necessity for the reduction of the loss of power. For the requirement of a unity power factor in the RPO system, the reduction of the system losses is ensured. The pivotal requirements of a power system are inclusive of a perfect compensation technique and methodology for stable reactive power compensation. The proposed concept in this paper utilizes the different reactive power optimization algorithms and performs a comparison. The process is accomplished by the use of IEEE 6-bus, 14-bus, and 30-bus systems to test the optimization technique. The conclusive information …
Low Complexity Link Level Performance Prediction For Simo Systems, Asif Khan, Alam Zaib, Shahid Khattak
Low Complexity Link Level Performance Prediction For Simo Systems, Asif Khan, Alam Zaib, Shahid Khattak
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper a low-cost link level performance prediction technique is proposed for a single input and multiple output system. Receiver link level abstraction is used in system level simulations of large networks in order to reduce their complexity. Usually, a single lookup table is employed in link level abstraction to predict a receiver's performance under different channel conditions. In the presented work, the mean frame error rate curve of different diverse channels is proposed as the reference for performance prediction in single input multiple output systems. Its generation involves compression of the received code word into a single quality …
A High Performance Hysteresis Current Control Of A Permanent Magnet Synchronous Motor Drive, Cosmas Ogbuka, Cajethan Nwosu, Marcel Agu
A High Performance Hysteresis Current Control Of A Permanent Magnet Synchronous Motor Drive, Cosmas Ogbuka, Cajethan Nwosu, Marcel Agu
Turkish Journal of Electrical Engineering and Computer Sciences
A high performance hysteresis current control of a permanent magnet synchronous motor (PMSM) drive is developed in this paper. The core advantage of field orientation control (FOC) is utilized to separate the flux and torque control components of the stator current of the PMSM. Specifically, the objectives of this work are to develop and utilize the HCC algorithm for FOC of a complete closed-loop speed-controlled PMSM drive system, optimize the control algorithm to obtain fast speed response while maintaining effective current and torque tracking, and examine the hysteresis current control action clearly showing the inverter switching and the effects of …
Comparison Of Group Key Establishment Protocols, Serap Şahi̇n, Rabi̇a Aslanoğlu
Comparison Of Group Key Establishment Protocols, Serap Şahi̇n, Rabi̇a Aslanoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Recently group-oriented applications over unsecure open networks such as Internet or wireless networks have become very popular. Thus, group communication security over unsecure open networks has become a vital concern. Group key establishment (GKE) protocols are used to satisfy the confidentiality requirement of a newly started communication session by the generation or sharing of an ephemeral common key between the group members. In this study, we analyze the computation and communication efficiency of GKE protocols. Besides confidentiality, the security characteristics of identification and integrity control are also required for all steps of the protocol implementations. Thus, the main contribution of …
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
This paper compared performances of classification methods for a hyperspectral image dataset in view of dimensionality reduction (DR). Among conventional DR methods, principal component analysis, maximum noise fraction, and independent component analysis were used for the purpose of dimension reduction. The study was conducted using these DR techniques on a real hyperspectral image, an AVIRIS dataset with 224 bands, throughout the experiments. It was observed that DR may have a significant effect on the classification performance. After the DR methods were applied to the image dataset, the extracted reduced bands were used for testing classification performances. Four commonly used classification …
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
With the deregulation of the power sector, distribution system planning is transforming from the traditional integrated decision mode to the multiple-player-based decentralized paradigm. However, this could potentially cause an adverse impact on the performance of the system due to interest conflict of market players during operations. To address such an issue, this paper develops a game-theoretic framework for active distribution network planning under the electricity market. The interplay between the distribution utility (DISCO) and distributed generation investors (DGO) is formulated as a noncooperative, two-person-based Stackelberg game in which the DISCO, as the leader of the game, makes expansion of the …
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H$_{\infty }$, H and …
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Turkish Journal of Electrical Engineering and Computer Sciences
The robust stabilization of the cart pendulum system was studied under structured uncertainty with a continuous-time periodic controller. The cart pendulum system was considered here as the test set-up as it is a well-known example of an unstable nonminimum phase system. The uncertainty in the system rose due to measurement error or dry friction in it. In this paper, the robust stability of the periodic controller in the presence of uncertainty was examined. The gain margin and delay margin endow with the periodic controller were superior to those obtained in the case of linear time invariant (LTI) control even in …
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, a 3-bit feedforward 3rd order sigma delta analog-to-digital converter (ADC) is presented. In this proposed architecture, feedforward paths and multibit design help the integrator output swings to become smaller, which renders the exploitation of a telescopic cascode opamp in the integrators possible. Moreover, a double sampling method is used to relax the opamp specifications. The proposed sigma delta ADC consumes 28.2 $\mu $W and has 81.3 dB SNDR according to postlayout simulations.
A Multifunctional Dstatcom For Power Quality Improvement, Mohammad Mahdianpoor, Arash Kiyoumarsi, Mohammad Ataei, Rahmat Allah Hooshmand, Houshang Karimi
A Multifunctional Dstatcom For Power Quality Improvement, Mohammad Mahdianpoor, Arash Kiyoumarsi, Mohammad Ataei, Rahmat Allah Hooshmand, Houshang Karimi
Turkish Journal of Electrical Engineering and Computer Sciences
The distribution static compensator (DSTATCOM) is used for various purposes such as load balancing, harmonic rejection, and power factor correction (PFC) in power distribution networks. In unbalanced and polluted power systems, the classic definition of power factor cannot be used for PFC due to the existence of harmonics and negative sequence components in voltage and current waveforms. In this paper, PFC is performed using the IEEE power factor definition for harmonic and unbalanced environments. Moreover, the application of a proportional-resonant (PR) controller is proposed as an effective controller in the stationary frame for DSTATCOM performance improvement. The PR controller is …
The Impact Of Sampling Frequency And Amplitude Modulation Index On Low Order Harmonics In A 3-Phase Sv-Pvm Voltage Source Inverter, Qamil Kabashi, Myzafere Limani, Nebi Caka, Milaim Zabeli
The Impact Of Sampling Frequency And Amplitude Modulation Index On Low Order Harmonics In A 3-Phase Sv-Pvm Voltage Source Inverter, Qamil Kabashi, Myzafere Limani, Nebi Caka, Milaim Zabeli
Turkish Journal of Electrical Engineering and Computer Sciences
Nowadays, variable speed AC motors are widely used in industry and there are many speed adjustment techniques available. In the last decade there has been a trend towards the use of space vector PWM--IGBT inverters, due to easier digital realization and better utilization of the DC bus. Every power inverter produces a total harmonic distortion (THD) on its output that causes extra losses in stator of induction motors. By eliminating a number of low order voltage/current harmonics it is possible to reduce harmonic losses (stator losses) and mechanical oscillations in general. This could be achieved by implementing filters in the …
Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis
Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis
Turkish Journal of Electrical Engineering and Computer Sciences
The paper presents a dynamic model of a hybrid power system composed of a wind park, a diesel generator, and an electrochemical energy storage system. The purpose of conventional generating units and energy storage equipment in the hybrid power system is the balancing of fluctuating power generated by renewable energy sources as well as an increase in supplied power quality. The composed dynamic model describes characteristics of the power governor of the diesel generator and dynamic behavior of the energy storage system based on a vanadium redox battery. Simulations are based on sampled data of real wind park power installed …
Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee
Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee
Turkish Journal of Electrical Engineering and Computer Sciences
Presently, mobile ad hoc networks (MANETs) are being used extensively in the defense, private, domestic, etc. fields and each of these emulates a personal area network (PAN). A MANET does not require any infrastructure; moreover, it can behave as a mobile network. These features have boosted the popularity of MANETs in the community. As more and more fields become dependent on MANETs, the system needs to be more energy aware and low cost. To commercialize MANETs, the routing protocols need to be lightweight, secure, and energy efficient, and the hardware on which it is to be implemented should be low …
Novel Scheduling Algorithm For Optimizing Real-Time Multimedia Performance In Long Term Evolution-Advanced, Huda Adibah Mohd Ramli, Zairi Ismael Rizman
Novel Scheduling Algorithm For Optimizing Real-Time Multimedia Performance In Long Term Evolution-Advanced, Huda Adibah Mohd Ramli, Zairi Ismael Rizman
Turkish Journal of Electrical Engineering and Computer Sciences
Real-time multimedia applications are becoming increasingly popular among mobile cellular users. Given that Long Term Evolution-Advanced (LTE-A), which is an emerging mobile cellular standard, needs to support these multimedia applications, packet scheduling is of paramount importance in LTE-A. This paper proposes a packet scheduling algorithm known as novel scheduling for usage in the downlink of LTE-A. It takes channel quality, average throughput, and packet delay into account when determining the priority of each user. Simulation results demonstrate the efficacy of the proposed algorithm in optimizing real-time multimedia performance for more mobile cellular users.
Minimizing Scheduling Overhead In Lre-Tl Real-Time Multiprocessor Scheduling Algorithm, Hitham Seddig Alhassan Alhussian, Mohamed Nordin Bin Zakaria, Fawnizu Azmadi Bin Hussin
Minimizing Scheduling Overhead In Lre-Tl Real-Time Multiprocessor Scheduling Algorithm, Hitham Seddig Alhassan Alhussian, Mohamed Nordin Bin Zakaria, Fawnizu Azmadi Bin Hussin
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we present a modification of the local remaining execution-time and local time domain (LRE-TL) real-time multiprocessor scheduling algorithm, aimed at reducing the scheduling overhead in terms of task migrations. LRE-TL achieves optimality by employing the fairness rule at the end of each time slice in a fluid schedule model. LRE-TL makes scheduling decisions using two scheduling events. The bottom (B) event, which occurs when a task consumes its local utilization, has to be preempted in order to resume the execution of another task, if any, or to idle the processor if none exist. The critical (C) event …