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On–off Thinning in Linear Antenna Arrays Using Binary Dragonfly Algorithm

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Advances in Computing and Network Communications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 735))

Abstract

The aim of this work is to study the suitability of two newly introduced bio-inspired algorithms, namely the dragonfly algorithm (DA) and the salp swarm algorithm (SSA) for thinning a linear antenna array. In array thinning, a fully populated array is chosen as a starting point, and a thinned array is obtained through careful deactivation of select sensors such that the residual active sensors enable the array to achieve a desired side-lobe performance. In this paper, we apply the binary versions of DA and SSA, namely the binary dragonfly algorithm (BDA), and the binary salp swarm algorithm (BSSA) to thin a symmetric linear array with uniform inter-element spacing of half wavelength. Extensive simulations were performed in MATLAB by considering arrays of different sizes. The results obtained from BDA and BSSA were compared against those obtained from the binary versions of two benchmark algorithms, namely the genetic algorithm (GA) and the gray wolf optimizer (GWO). Relative side-lobe level (RSLL) and filling percentage were used as performance comparison metrics. It has been observed that both BDA and BSSA offer promising results in line with BGA and BGWO. More specifically, BDA was found to be faster than BSSA.

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Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India

    Ashish Patwari, Medha Mani, Sneha Singh & Gokul Srinivasan

Authors
  1. Ashish Patwari
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  2. Medha Mani
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  3. Sneha Singh
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  4. Gokul Srinivasan
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Corresponding author

Correspondence to Ashish Patwari .

Editor information

Editors and Affiliations

  1. School of Computer Science & Engineering, Indian Institute of Information Technology and Management-Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

    Erol Gelenbe

  3. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  4. Department of Computer Science, University at Buffalo, State University, Buffalo, NY, USA

    Vipin Chaudhary

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Patwari, A., Mani, M., Singh, S., Srinivasan, G. (2021). On–off Thinning in Linear Antenna Arrays Using Binary Dragonfly Algorithm. In: Thampi, S.M., Gelenbe, E., Atiquzzaman, M., Chaudhary, V., Li, KC. (eds) Advances in Computing and Network Communications. Lecture Notes in Electrical Engineering, vol 735. Springer, Singapore. https://doi.org/10.1007/978-981-33-6977-1_7

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  • DOI: https://doi.org/10.1007/978-981-33-6977-1_7

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  • Print ISBN: 978-981-33-6976-4

  • Online ISBN: 978-981-33-6977-1

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