Optimal deployment of indoor sensors for a real-time location tracking system

Bijoy Dripta Barua Chowdhury, Md Tariqul Islam, Young Jun Son, Russell Tronstad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


A real-time location tracking system (RTLTS) for material flow and workers is important for many manufacturing and service facilities. In this work, a novel framework is proposed to enable the optimal deployment of access points (APs) for indoor RTLTS. To this end, two different wireless sensor networks of radio frequency identification (RFID) and ultra-wideband (UWB) are considered for zone detection and localization, respectively. In the proposed framework, both area and tag covering problems are addressed to find the optimal number and placement of APs for RFID and UWB based RTLTS. An algorithm is developed utilizing the geometrical approach to solve the area coverage problem. To address the tag covering problem, an optimization model is developed, which is solved by a greedy algorithm proposed in this work. Experimental results show convergence of the proposed optimization algorithm. Moreover, a generalized guideline is proposed to find the optimal number of APs depending on the RTLTS application scenario.

Original languageEnglish (US)
Title of host publicationIISE Annual Conference and Expo 2021
EditorsA. Ghate, K. Krishnaiyer, K. Paynabar
PublisherInstitute of Industrial and Systems Engineers, IISE
Number of pages6
ISBN (Electronic)9781713838470
StatePublished - 2021
EventIISE Annual Conference and Expo 2021 - Virtual, Online
Duration: May 22 2021May 25 2021

Publication series

NameIISE Annual Conference and Expo 2021


ConferenceIISE Annual Conference and Expo 2021
CityVirtual, Online


  • Localization and tracking
  • Optimization
  • RFID
  • Sensor network
  • UWB

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Optimal deployment of indoor sensors for a real-time location tracking system'. Together they form a unique fingerprint.

Cite this