DEVELOPMENT OF METHODS FOR MONITORING AND OPTIMIZATION OF UNDERGROUND DRAINAGE SYSTEMS USING WIRELESS SENSOR NETWORKS AND ULTRA-WIDEBAND ANTENNAS

Yelikbay K. Kumar P. Kassym R. Serikov T. Orunbekov M. Turdy A. Temirbekova M. Tolegenova A. Tlenshiyeva A. Kassymova M.
2024 Technology Center

Eastern-European Journal of Enterprise Technologies
2024 #5 Issue 5(131)26 - 36 pp.

This research focuses on optimizing ultra-wideband (UWB) antennas, which are critical in modern communication systems due to their wide frequency range (3.1–10.6 GHz) and high data transmission capabilities. The study addresses the challenge of optimizing key antenna parameters – such as return loss, peak gain, and radiation efficiency – while also ensuring energy efficiency and network longevity. Traditional optimization methods, such as LEACH-C, often fail to balance these factors, leading to suboptimal performance. To solve this problem, the researchers developed the Generalized Position-based Optimization Neural Network (GPON) for UWB antenna optimization. They also evaluated the Position-based Hybrid Neural Network (PAN) method, comparing its performance with existing algorithms including LEACH-C, Firefly Algorithm (FA), HFAPSO, FA-ANN, and HWOABCA. The GPON model reduced return loss to 25.5 dB at 3.5 GHz and improved peak gain to 4.2 dB i, while maintaining 92 % radiation efficiency. In contrast, PAN demonstrated a 15–25 % improvement in residual energy and extended network lifetime by 20 % compared to LEACH-C. These improvements were due to the integration of advanced neural network techniques in GPON and the effective use of positional data in PAN, enabling more precise and adaptive optimization. The ability to balance multiple performance metrics simultaneously – a challenge previous models struggled with – is a key feature. This balance is crucial for UWB antennas in communication systems where both performance and energy efficiency are vital. The findings are especially relevant for practical applications in wireless sensor networks, mobile communications, and radar systems, requiring long-term network reliability and optimal antenna performance Copyright

antenna optimization , energy efficiency , GPON , network longevity , neural networks , ultra-wideband

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Department of Electronics and Communication Engineering, CMR Engineering College, Medchal Rd, Kandlakoya, Telangana, Seethariguda, 501401, India
University of Jaén, Campus Las Lagunillas s/n, Jaén, 23071, Spain
Department Information and Communication Technologies, Kazakhstan
ALT University, Shevchenko str., 97, Almaty, 050013, Kazakhstan
Department of Information and Communication Technology, S. Seifullin Kazakh Agrotechnical Research University, Zhenis ave., 62, Astana, 010011, Kazakhstan

Department of Electronics and Communication Engineering
University of Jaén
Department Information and Communication Technologies
ALT University
Department of Information and Communication Technology

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