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All Journal Bulletin of Electrical Engineering and Informatics
Najla Ilyana Ab Majid
Universiti Teknologi Malaysia
Electrical & Electronics Engineering

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Beampattern optimization techniques using metaheuristic algorithm for collaborative beamforming: a review Najla Ilyana Ab Majid; Nik Noordini Nik Abd Malik; Nor Aini Zakaria
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.4835

Abstract

The fast improvements in wireless technology and embedded systems have sparked a renewed interest in collaborative beamforming (CB) approach used in wireless sensor networks (WSNs). Despite the fact that studies on distributed and CB have been conducted for more than 10 years, CB was previously deemed unworkable because of its extreme complexity and difficult-to-attain criteria. It just got well-known in the last several years when cheaply accessible compact wireless communication electronic sensors with high processing capability emerged. These factors contributed as the motivation for this paper's research overview CB in WSNs. We provide the classifications of the static and mobile WSN which is based on the sensor node optimization technique. This paper reviews the metaheuristic algorithms proposed by previous study for beampattern and energy consumption optimization. Finally, this paper also presents a summary analysis of the previous studies in terms of beampattern characteristic and properties, energy consumption and stability.
Co-Authors Nik Noordini Nik Abd Malik Nor Aini Zakaria