Open AccessProposed APs Distribution Optimization Algorithm: Indoor Coverage Solution
Author(s) -
M. Rawaa Akram,
Aseel H. Al-Nakkash,
Omar Nameer Mohammed Salim,
Ali A. S. Alabdullah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1804/1/012134
Subject(s) - computer science , reliability (semiconductor) , matlab , wireless , real time computing , optimization algorithm , algorithm , software , power (physics) , mobile device , point (geometry) , mathematical optimization , telecommunications , mathematics , physics , geometry , quantum mechanics , programming language , operating system
Recently, Wireless systems for indoor environments have become very important and popular. With increasing the need for mobile devices like laptops, tabs and smartphones, the optimization of WLAN coverage became very necessary to provide efficient communication with less cost. This optimization is verified by decreasing number of WiFi Access Point coverage. A multi objectives algorithm is proposed in this paper to optimize WiFi coverage in indoor environment using MatLab software. The proposed algorithm employs (BPSO) to determine the optimal number and locations for WiFi APs distribution based on predefined received power thresholds value. it has been found that the proposed algorithm is flexible using weighted multi-fitness functions. In addition, conducting site survey in real environment verifies the reliability of the proposed algorithm. Applying APD-CS algorithm in the adopted real environment increase the coverage by 64.6% and the average received power 7 dBm at Pth equal to-55 dBm.