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    BOLD: Bio-Inspired Optimized Leader Election for Multiple Drones
    (Mdpi, 2020) Ganesan, Rajesh; Raajini, X. Mercilin; Nayyar, Anand; Sanjeevikumar, Padmanaban; Hossain, Eklas; Ertaş, Ahmet Hanifi
    Over the past few years, unmanned aerial vehicles (UAV) or drones have been used for many applications. In certain applications like surveillance and emergency rescue operations, multiple drones work as a network to achieve the target in which any one of the drones will act as the master or coordinator to communicate, monitor, and control other drones. Hence, drones are energy-constrained; there is a need for effective coordination among them in terms of decision making and communication between drones and base stations during these critical situations. This paper focuses on providing an efficient approach for the election of the cluster head dynamically, which heads the other drones in the network. The main objective of the paper is to provide an effective solution to elect the cluster head among multi drones at different periods based on the various physical constraints of drones. The elected cluster head acts as the decision-maker and assigns tasks to other drones. In a case where the cluster head fails, then the next eligible drone is re-elected as the leader. Hence, an optimally distributed solution proposed is called Bio-Inspired Optimized Leader Election for Multiple Drones (BOLD), which is based on two AI-based optimization techniques. The simulation results of BOLD compared with the existing Particle Swarm Optimization-Cluster head election (PSO-C) in terms of network lifetime and energy consumption, and from the results, it has been proven that the lifetime of drones with the BOLD algorithm is 15% higher than the drones with PSO-C algorithm.
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    A Modified Step-Up Converter with Small Signal Analysis-Based Controller for Renewable Resource Applications
    (Mdpi, 2020) Ghaderi, Davood; Maroti, Pandav Kiran; Sanjeevikumar, P.; Holm-Nielsen, Jens Bo; Hossain, Eklas; Nayyar, Anand
    Solar energy is one of the most important renewable sources due to its advantages such as simple structure, convenient installation, diverse applications, and low maintenance costs. Low power generation is the main concern with solar panels, so the maximum transmission of this power is a prime priority. The design of boost converters with the ability to generate high voltage gain, efficient structure, and stable and low-cost control circuits is the first step after installing these panels. This study presents a simple and high-gain design of a step-up converter, which uses only one power switch. The significance of this issue is when it will be apparent to know that each switch needs a separate control circuit and complex systems require more control topologies. In comparison with the conventional converter, the gain of the proposed converter, with the use of two additional diodes, a capacitor, and an inductor, was five times greater than the gain of a classical converter with 80% of the duty cycle. The proposed converter can solve the narrow turn-off period problem for the power semiconductor components in order to achieve higher DC voltages that are possible at higher duty cycles in classical converters. Small signal analysis of the proposed converter is presented and a controller based on steady-space matrixes is presented. The reaction of the proposed controller is considerable since a deep mathematical analysis supports this controller. The principal operations of the proposed converter and the projected controller were analyzed mathematically and verified with the help of MATLAB/SIMULINK. Additionally, hardware implementation of the proposed converter was done on a laboratory-scale around 100 W.