Journal of Information Technology & Software Engineering
Open Access

RSSI based indoor localization using RSSI-with-angle-based localization estimation algorithm

Global Summit and Expo on Multimedia & Applications

August 10-11, 2015 Birmingham, UK

Ambassa Joel Yves

Posters-Accepted Abstracts: J Inform Tech Soft Engg

Abstract :

For the scenarios of indoors localization and tracking, the solutions generally need complex infrastructure because they
would require either a grid of antennas, each having a well-known position (proximity based approach), or a sophisticated
algorithm that uses scene fingerprint to estimate the location of an object by matching the online measurement with the closest
offline measurement. Those techniques may not be available in unknown zones, which will make it difficult to locate a lost
node. In this paper, with no additional hardware costs, we propose a new RSSI-based approach in order to find a lost node
using a known node. By rotating the known node at the same spot, we can collect different RSSI for different polar angles. Two
pairs of angles with the strongest RSSI will indicate the main lobes of the radiation pattern, namely, location of the unknown
node. Experimental results illustrate a very close estimation of the unknown node location, reducing up to 84% of the zone
uncertainty.