Micro-Electronics and Telecommunication Engineering

Table of Contents

1. Fuzzy Rough Set-based Link Stability Forecasting Scheme for Improving Data Dissemination in MANETs

   J. Sengathir, M. Deva Priya, A. Christy Jeba Malar, S. Karthik, Viraja Ravi, S. Sam Peter

   Abstract

   In Mobile Ad hoc NETwork (MANET), the construction of stable paths among mobile nodes is inevitable for achieving network connectivity during the process of reliable data dissemination. MANET includes the properties of mobility, wireless connectivity and independence for fitting itself to a wide number of real-time applications, but increases the complexity involved in managing the path stability in the network. The routing protocols are the essential components of the entire network as they are responsible for searching and maintaining the routes. However, a path stability scheme that uses weighted aggregation of the mobile node interaction rate and energy is not much explored in the literature. In this paper, a Fuzzy Rough Set-based Link Stability Forecasting Scheme (FRSLSFS) is proposed for integrating the characteristic functionality of the Fuzzy Rough Set (FRS) for forecasting and deciding the stability of the link in order to achieve reliable data routing. This proposed FRSLSFS determines the link stability based contention count, signal strength, hop count, available energy of the link, normalized multi-objective optimization and link stability using FRS-based prediction. The simulation experiments of the proposed FRSLSFS scheme confirm its predominance by offering improved throughput by 13.21%, reduced packet latency by 12.84% and minimized energy consumption by 15.28% in contrast to the baseline link prediction schemes.

2. Improvement of DC Bus Bar Voltage for Microgrid System Using Renewable Energy Sources

   S. Sravan Kumar, Gundala Srinivasa Rao, Sathish Voggu

   Abstract

   In this paper, different renewable distribution systems are designed for improving the efficiency of the microgrids system. The grid activities are suffered by the issues of harmonics in load current, low amount of power from the sources, and the mismatch of reactive power. In the proposed system, power is increased from the renewable sources by using power converters. In conventional systems, boost converters are used to increase energy to load. In this paper, the SEPIC converter is used to achieve high voltage gain at DC bus voltage. The DC link capacitor is used to store the power converter output voltage. Three renewable energy sources are used and they are solar, fuel, and wind energy sources. The DC bus voltage is improved for using both AC loads as well as DC loads. The proposed system results are verified using in MATLAB/Simulink.

3. Fuzzy Logic Controller with Zeta Converter for Electric Vehicles Induction Motor

   S. Sravan Kumar, Gundala Srinivasa Rao, Sathish Voggu

   Abstract

   In this paper, a fuzzy logic rules-based maximum power is achieving from the source power supply. The supply voltage is fed to the electric vehicle induction machine through the highly efficient ZETA DC–DC converter-based proposed system. High voltage gain, more efficiency and high-frequency switching DC–DC converters are very important for the electric vehicle system. The ZETA converter is utilized to improve the supply voltage and transfer it to the IM along with the voltage source inverter. The conversion system is controlled by the means of rules generated in fuzzy controller. The switching signal is supplying to the ZETA converter from PWM block which is using fuzzy system. The inverter that tied with vehicle machine is controlled space vector pulse width modulation. To attain high voltage gain, ZETA converter is connected with inverter and it reduces input current ripples. The proposed system performance is analysed in MATLAB/Simulink platform, and the results are verified.

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