z-logo
open-access-imgOpen Access
Design of IoT Based Object Tracking System for Identifying the RSS Value Access Point to Trilaterate the Location
Author(s) -
Joshuva Arockia Dhanraj,
Aravinth Sivakumar,
Balachandar Krishnamurthy,
Kuppan Chetty Ramanathan,
K. Ashwin Kumar
Publication year - 2020
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/988/1/012077
Subject(s) - trilateration , computer science , rss , real time computing , global positioning system , object (grammar) , position (finance) , tracking system , computer vision , artificial intelligence , triangulation , telecommunications , filter (signal processing) , cartography , finance , economics , geography , operating system
In an expansive environment, due to continuous change of location of objects, tracking a moving object is a challenging task, in intelligent IoT service provisioned. Tracking of objects indoors using conventional methods like GPS can give out signals not as accurately as we get outside due to the signal attenuation, thus GPS gets poor results, moreover, the inclusion of other effective positioning modules increases the overall cost of production of the device. Nowadays, Wi-Fi networks are prevalent in most public buildings and do not require any additional infrastructure, so we have come with an idea of this is that we could propose an efficient and reliable Wi-Fi-real time tracking system with help access points and signals strength. We are using a combination of two approaches where the first one uses pre-recorded received signal strengths. From the access points, and data is transmitted from the user on the move. It is known as the fingerprinting method. The second approach is trilateration from the known access points coordinates from the user’s device to find the position. The combination of these steps improves the accuracy of the user position in an indoor environment. The experiments presented in this research helps us understand and provide the source of a foundation for the indoor/outdoor positioning.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here