Bio-inspired algorithm for decisioning wireless access point installation
نویسندگان
چکیده
<p class="p1"><span lang="EN-US">This paper presents the bio-inspired algorithms for decisioning wireless access point (AP) installation. In order to achieve desired coverage capability of APs, are applied robust competition and optimization. The main objective is determine optimal number APs with high in concerning area using genetic ant colony optimization algorithms. Received signal strength indicator (RSSI) line-of-sight (LoS) gradient approach most important parameters AP installation depending on strength. Practical experiments tested embedded system Xilinx Kria KR260 Raspberry Pi Zero 2W boards at room size about 16 m wide 40 long inside building. board used calculate localization compared Xcode. Then, representation measuring testing area. Experiment results show that maximum received signals equal -35 dBm 6 there six 16×40 m<sup>2</sup>.</span></p>
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2023
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijece.v13i5.pp4996-5005