IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Device Localization in Ubiquitous Computing Environments

Device Localization in Ubiquitous Computing Environments
View Sample PDF
Author(s): Rui Huang (University of Texas at Arlington, USA), Gergely V. Záruba (The University of Texas at Arlington, USA)and Sajal K. Das (University of Texas at Arlington, USA)
Copyright: 2009
Pages: 27
Source title: Human Computer Interaction: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Chee Siang Ang (City University of London, UK)and Panayiotis Zaphiris (City University of London, UK)
DOI: 10.4018/978-1-87828-991-9.ch074

Purchase

View Device Localization in Ubiquitous Computing Environments on the publisher's website for pricing and purchasing information.

Abstract

In this chapter, we will study the localization problem in ubiquitous computing environments. In general, localization refers to the problem of obtaining (semi-) accurate physical location of the devices in a dynamic environment in which only a small subset of the devices know their exact location. Using localization techniques, other devices can indirectly derive their own location by means of some measurement data such as distance and angle to their neighbors. Localization is now regarded as an enabling technology for ubiquitous computing environments because it can substantially increase the performance of other fundamental tasks such as routing, energy conservation, and network security. Localization is also a difficult problem because it is computationally intractable. Furthermore, it has to be implemented in a highly dynamic and distributed environment in which measurement data is often subject to noise. In this chapter, we will give an overview of localization in terms of its common applications, its hardware capacities, its algorithms, and its computational complexity.

Related Content

Maja Pucelj, Matjaž Mulej, Anita Hrast. © 2024. 29 pages.
Hemendra Singh. © 2024. 26 pages.
Nestor Soler del Toro. © 2024. 27 pages.
Pablo Banchio. © 2024. 18 pages.
Jože Ruparčič. © 2024. 26 pages.
Anuttama Ghose, Hartej Singh Kochher, S. M. Aamir Ali. © 2024. 28 pages.
Bhupinder Singh, Komal Vig, Pushan Kumar Dutta, Christian Kaunert, Bhupendra Kumar Gautam. © 2024. 23 pages.
Body Bottom