Open AccessIndoor Localization Improvements Based on Average RSS Samples
Author(s) -
Mahmood F. Mosleh,
Ahmed K. Daraj
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1105/1/012024
Subject(s) - rss , computer science , global positioning system , measure (data warehouse) , wireless , real time computing , signal strength , software , signal (programming language) , position (finance) , simulation , data mining , telecommunications , finance , economics , programming language , operating system
There are some constraints and challenges in the big building, hence, the Global Positioning Systems (GPS) doesn’t work so well. To address this problem, indoor localization systems carried out based on methods like the Receive Signal Strength (RSS) and Time of Arrival (ToA). However, harsh indoor environments still a big challenge due to the impact of other signal sources or movements of people into the building. Subsequently, the test of signal changeable with time under several conditions. To overcome those problems, Average samples of RSS (ASRSS) proposed in this paper by measure the 63 samples. The Net Spot software was experimental software to measure RSS values in a continuous way with time. The final reference RSS measurements resulting in an average of 63 samples. In the simulation side, Wireless Insite Package (WPI) used to design a Three-Dimensional (3D) case study building. The results of RSS based on the ASRSS technique confirm that the RSS in simulation and experimental sides so close to estimation calculations. The enhancements of estimate RSS lead to estimate accurate position with average errors equal to (0.098m).