Improving Mobile Location Prediction Using the Grey Wolf Optimization Algorithm

Improving Mobile Location Prediction Using the Grey Wolf Optimization Algorithm

GWO, LBS, LOS, RSSI

The importance of locating a mobile phone has increased significantly during last decade for security and commercial reasons. Locating the mobile phone leads to locating people. This is done by using the most common propagation models in the mobile phone network design to calculate the distance between the mobile phone and the base station, in addition to using positioning algorithms to predict the location of the mobile station. In this work, three telecommunication towers that provide mobile phone service for Zain Iraq were selected, located within the Mahmudiya area in Baghdad as a case study, and a test drive was conducted to measure the signal strength received from these base stations at more than 10 points located within the coverage area of these base stations. The Okumura-HATA model, and the UMTS propagation model were used to calculate the distances. The Gray-Wolf algorithm was used to improve mobile phone position prediction.

Baseem G. Nsaif

Adheed H. Sallomi

International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 09 (2023); pp. 127-140

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2023-05-10

Copyright (c) 2023 Haider TH.Salim ALRikabi, Baseem G. Nsaif , Adheed H. Sallomi

https://creativecommons.org/licenses/by/4.0

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article