Fine-tuned Cost231 Path Loss Model for Kampung Banyok, Sarawak

Lisa Yong; Fei Siang Tay; Yi Lung Then; Hieng Tiong Su; Natalie Chen Yi Lim

Authors

Lisa Yong Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia
Fei Siang Tay Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia
Yi Lung Then Faculty of Engineering, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan, Sarawak, Malaysia
Hieng Tiong Su Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia
Natalie Chen Yi Lim Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, Malaysia

Keywords:

Cost231, Path Loss, rural area, RMSE, Least Square

Abstract

This paper presents a fine-tuned Cost231 Path Loss model based on the propagation measurements performed at 2.4 GHz WiFi transmission in Kampung Banyok. There are a few limitations appeared on conventional Free Space Path Loss model (FSPL) in which performance parameters such as terrain conditions, absorption from obstacles and geographic area factors were not considered in the model for outdoor path loss prediction. Therefore, this study aims to modify the existing Cost231 Path Loss Model for predicting signal strengths using the least square method (LSM). The fine-tuned Cost231 Path Loss model can help telecommunication providers to deliver satisfactory network services by investigating suitable wireless equipment and access point locations before actual implementation on selected site. The accuracy of the proposed fine-tuned Cost231 Path Loss model was determined using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE) using the measured data collected from Kampung Banyok. The results show that the MAPE and RMSE of the fine-tuned model are 1.87% and 1.92 dBm for Kampung Banyok, which indicates that the fine-tuned model can provide better accuracy than the conventional FSPL and Cost231 Path Loss models.