Grey Wolf Optimization to Provide Lower Sidelobe Levels on Linear Antenna Arrays for Wireless Sensor Networks

Çınar G., Novınfard E.

International Congress of New Searches in Sciences 2024, İstanbul, Türkiye, 8 - 09 Haziran 2024, ss.44

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.44
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In this paper, the sidelobe level optimization of a linear antenna array for using in wireless sensor networks is studied by the use of Grey Wolf Optimization. The objective is to determine the optimal set of element spacings to minimize sidelobe level. The analysis is carried for 8-element, 12-element and 16-element arrays which are typical values for wireless sensor networks. The results obtained with Grey Wolf Optimization are compared to those of other evolutionary algorithms such as Particle Swarm Algorithm, Firefly Algorithm, Flower Pollination Algorithm, and Symbiotic Organisms Search algorithm. The complete set of results are presented in their relevant tables and the arrays’ patterns are illustrated graphically.