GRAIL: A general purpose localization system

Yingying Chen, Gayathri Chandrasekaran, Eiman Elnahrawy, John Austen Francisco, Konstantinos Kleisouris, Xiaoyan Li, Richard P. Martin, Robert S. Moore, Begumhan Turgut

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Purpose - The purpose of this paper is to describe a general purpose localization system, GRAIL. GRAIL provides real-time, adaptable, indoor localization for wireless devices. Design/methodology/approach - In order to localize as diverse a set of devices as possible, GRAIL utilizes a centralized, anchor-based approach. GRAIL defines an abstract data model for various system components to support different physical modalities. The scalable architecture of GRAIL provides maximum flexibility to integrate various localization algorithms. Findings - The authors show through real deployments that GRAIL functions over a variety of physical modalities, networks, and algorithms. Further, the authors found that a centralized solution has critical advantages over distributed implementations for handling privacy concerns. Originality/value - A key contribution of this system is its universal approach: it can integrate different hardware and software capabilities within a single localization framework. The deployment of such a system in academic and research environments allows researchers to explore issues beyond algorithms and investigate effects in real deployments.

Original languageEnglish (US)
Pages (from-to)115-124
Number of pages10
JournalSensor Review
Issue number2
StatePublished - 2008

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


  • Local area networks
  • Localization
  • Sensors
  • Wireless


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