John Heidemann / Papers / Infrastructureless Location Aware Configuration for Sensor Networks

Infrastructureless Location Aware Configuration for Sensor Networks
Xi Wang, Fabio Silva and John Heidemann
USC/Information Sciences Institute

Citation

Xi Wang, Fabio Silva and John Heidemann. Infrastructureless Location Aware Configuration for Sensor Networks. Workshop on Mobile Computing Systems and Applications (English Lake District, United Kingdom, Dec. 2004), 174–183. [PDF] [alt PDF]

Abstract

In large sensor networks nodes must self-configure their communication, location, and other characteristics. GPS and similar systems determine location today, but they require substantial infrastructure in the environment or on sensor nodes to locate nodes in a physical coordinate system. For many applications, \emphlogical location—the relationhip of nodes with each other and their environment—can be more important than physical location. For example, distance along a road and presence of intersections may be more relevant than Euclidean coordinates for applications that track or guide drivers. In this paper we present a novel algorithm, \emphdeployment order, for logical location determination. Deployment order exploits node deployment patterns and simple user interactions to define logical topologies in a completely distributed manner. With minimal user interaction it can establish arbitrarily complex logical topologies. We illustrate the algorithm through the “follow-me” application, which is an easy-to-deploy sensornet guidance system suitable for use in office buildings as well as inhospitable environments (underground, in damaged buildings, etc.). Finally, we demonstrate how the addition of landmarks allows the conversion from logical locations to approximate physical locations.

Bibtex Citation

@inproceedings{Wang04c,
  author = {Wang, Xi and Silva, Fabio and Heidemann, John},
  title = {Infrastructureless Location Aware Configuration for Sensor Networks},
  booktitle = {Workshop on Mobile Computing Systems and Applications},
  year = {2004},
  sortdate = {2004-12-01},
  project = {ilense, whumls, surese},
  jsubject = {sensornet_general},
  publisher = {IEEE},
  address = {English Lake District, United Kingdom},
  month = dec,
  pages = {174--183},
  location = {johnh: pafile},
  url = {http://www.isi.edu/%7ejohnh/PAPERS/Wang04c.html},
  pdfurl = {http://www.isi.edu/%7ejohnh/PAPERS/Wang04c.pdf},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {IEEE},
  copyrightterms = {
  	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.
  }
}

Copyright

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.
Copyright © by John Heidemann