A multi-step approach for RSSi-based distance estimation using smartphones

Author

Chowdhury, T.I. ; Rahman, M.M. ; Parvez, Sadre-Ala ; Alam, A.K.M.M. ; Basher, Abul ; Alam, Abusayeed ; Rizwan, Shahriar

Author_Institution

Solution Lab., Samsung R&D Inst. Bangladesh, Dhaka, Bangladesh

fYear

2015

Firstpage

1

Lastpage

5

Abstract

Measuring distance from Received Signal Strength Indication (RSSI) of wireless devices has become one of the rudimentary but challenging requirements for Indoor Positioning and Indoor Navigation (IPIN). To address this subject, we propose a novel multi-step approach combining Flat Earth Model, Free Space Friis Model and Linear Approximation Model for measuring distance from RSSI for smart devices with Bluetooth Low Energy (BLE) connectivity. To get better result we proposed an improved averaging and smoothing algorithm of RSSI. We have significantly achieved 13.4% reduced error of measured distance.

Keywords

RSSI; indoor navigation; indoor radio; mobile radio; position measurement; smart phones; Bluetooth low energy connectivity; RSSI; distance estimation; flat earth model; free space friis model; indoor navigation; indoor positioning; linear approximation model; received signal strength indication; smartphones; wireless devices; Analytical models; Data models; Earth; Finite element analysis; Linear approximation; Receivers; Smoothing methods; Bluetooth Low Energy; Distance Estimation; Indoor Positioning and Indoor Navigation; Received Signal Strength Indication;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking Systems and Security (NSysS), 2015 International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-4799-8125-0

Type

conf

DOI

10.1109/NSysS.2015.7042942

Filename

7042942