Literature Database Entry

eckert2012autonomous-diss

Juergen Eckert, "Autonomous Localization Framework for Sensor and Actor Networks," PhD Thesis, Department of Computer Science, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), December 2012. (Advisors: Reinhard German and Falko Dressler; Referees: Reinhard German, Falko Dressler and Hannes Frey)

Abstract

Wireless Sensor and Actor Networks (WSANs) consisting of mobile and fully autonomous nodes are meant to operate in known as well as in unknown environments. The lack of position information to coordinate sensor and actor nodes in unknown environments is still a challenging task. A large variety of WSANs applications rely on accurate position information and can not operate unless nodes know where they are. It is therefore essential to provide sensors with this knowledge, typically by the usage of a localization system. Because of the limited availability in indoor environments and the potentially too low accuracy, GPS can not always be used, requiring the usage of a Local Positioning System (LPS). These systems have attracted the attention of many research groups, however, there is still no commonly accepted system available. The greatest challenge for a general purpose LPS is its autonomous initialization or bootstrapping in unknown environments. Furthermore, to not limit the range of applications, manual interaction or the existence of a central processing unit can not be assumed. Other important features are scalability, the ability to continuously adapt to changing environments, and the independence from a priori knowledge. None of the existing solutions fully feature all of these properties. We therefore developed the Autonomous Localization Framework (ALF) that provides localization support for truly self-organizing and distributed systems without relying on global knowledge. Based on simple distance measurements and radio communication, mobile ground robots strategically distribute themselves in a potentially unknown environment to subsequently form a reference grid in a fully decentralized and distributed manner. This reference grid can be seen as a global coordinate system enabling nodes to determine their position in relation to all other nodes. Our system clearly outperforms related approaches in terms of scalability, robustness, and accuracy. Furthermore, it is completely hardware independent and considers timing constraints. To backup these claims we showed that our system can enable the autonomous flight of a quadrotor based on positions obtained by ALF.

Quick access

BibTeX BibTeX

Contact

Juergen Eckert

BibTeX reference

@phdthesis{eckert2012autonomous-diss,
    author = {Eckert, Juergen},
    title = {{Autonomous Localization Framework for Sensor and Actor Networks}},
    advisor = {German, Reinhard and Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {12},
    referee = {German, Reinhard and Dressler, Falko and Frey, Hannes},
    school = {Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    type = {PhD Thesis},
    year = {2012},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Last modified: 2024-04-25