Authors: Augustinus B. Primawan; Nitin K. Tripathi
Addresses: Information and Communications Technologies, School of Engineering and Technology, Asian Institute of Technology, Thailand; Teknik Elektro, Fakultas Sains dan Teknologi, Universitas Sanata Dharma, Indonesia ' Remote Sensing and Geographic Information System, School of Engineering and Technology, Asian Institute of Technology, Thailand
Abstract: Wireless local area network design needs more development to obtain appropriate and effective results. Site surveys in the design process give realistic results, but require time and effort. Developing ways of predicting signal strength using empirical models can give appropriate results in access point placement to get good signal coverage. Geospatial analysis, such as inverse distance weighting, Kriging and global polynomial interpolation, has been compared. This study showed that Kriging analysis is an appropriate method to predict value the coverage area. Furthermore, predictive signal strength models such as classical, empirical and COST 231 Hatta models have been studied. The empirical model was shown to do the best predictive calculations. The empirical model used to predict signal strength combined with Kriging geographical statistical analysis gave usable signal coverage prediction for access point placement. This model will support GIS spatial analysis tools to perform effective planning in access point placement.
Keywords: access point placement; GIS spatial analysis; received signal level.
International Journal of Information and Communication Technology, 2018 Vol.13 No.4, pp.439 - 453
Received: 03 Feb 2016
Accepted: 09 Oct 2016
Published online: 21 May 2018 *