Spider Monkey Optimization Algorithm-Based Optimal Design of Wideband EBG Structure for Certain Uncertainty Parameters

Abstract

EBG structures have evolved as an emerging technology in recent years in the domain of microstrip antenna performance enhancement for wireless applications. They contain innovative structures, shapes, and materials that can be found in numerous industrial and military utilizations. The dimensions considered for the substrate of a microstrip antenna which propagates by using metal molecules (cells) are smaller than its kinetic wavelength ([Formula: see text]). This uncertainty in the arrangement increases both bandwidth and efficiency of an antenna when placed on the modified surface. Uttermost the literature surveys on the computational features of the EBG architecture, uncertainly there is little discussion on the development of the design and its effectiveness in challenging external conditions. This research is aimed to have optimized design values and respective control factors of an antenna like substrate height (h), breadth of EBG patch (p) and width of the gap between adjoining cells of EBG (d). Hence, an optimal design of wideband EBG architecture is done utilizing spider monkey optimization (SMO) process to advance the performance of micro-strip antenna. The result values highlighted through simulation outcomes exhibit the performance of the proposed optimal EBG structure outperforms than the standard EBG in the terms of reflection phase, transmission loss, magnitude of [Formula: see text], [Formula: see text], and gain comparison. The outcomes of this technique provide enhance in its bandwidth up to 11.25 GHz, return loss of −31 dB, gain of 5.5 dB and from [Formula: see text]comparison the magnitude of measured with EBG to magnitude of measured with optimal EBG is increased by 7.5% is observed.