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GRAIL: a general purpose localization system

Yingying Chen (Department of ECE, Stevens Institute of Technology, Hoboken, New Jersey, USA)
Gayathri Chandrasekaran (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)
Eiman Elnahrawy (Kordinate LLC, Metuchen, New Jersey, USA)
John‐Austen Francisco (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)
Konstantinos Kleisouris (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)
Xiaoyan Li (Department of Computer Science, Lafayette College, Easton, USA)
Richard P. Martin (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)
Robert S. Moore (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)
Begumhan Turgut (Department of Computer Science, Rutgers University, Piscataway, New Jersey, USA)

Sensor Review

ISSN: 0260-2288

Publication date: 28 March 2008

Abstract

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.

Keywords

Citation

Chen, Y., Chandrasekaran, G., Elnahrawy, E., Francisco, J., Kleisouris, K., Li, X., Martin, R.P., Moore, R.S. and Turgut, B. (2008), "GRAIL: a general purpose localization system", Sensor Review, Vol. 28 No. 2, pp. 115-124. https://doi.org/10.1108/02602280810856679

Publisher

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Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited