John Heidemann / Papers / Using Geospatial Information in Sensor Networks

Using Geospatial Information in Sensor Networks
John Heidemann and Nirupama Bulusu
USC/Information Sciences Institute

Citation

John Heidemann and Nirupama Bulusu. Using Geospatial Information in Sensor Networks. Technical Report ISI-TR-546. USC/Information Sciences Institute. [PDF] [alt PDF]

Abstract

This paper describes several ways sensor networks can benefit from geospatial information and identifies two research directions. First, better models of localization error, logical location, and communications costs are required to understand the interactions between spatial information and control and communications algorithms in sensor networks. Second, wider use of spatial information in densely deployed sensor networks will move sensor networking applications from simple tracking to object counting and area monitoring, and can enable the use of data mining techniques to sensor networks for “spatial sensor mining”.

Bibtex Citation

@techreport{Heidemann01e,
  author = {Heidemann, John and Bulusu, Nirupama},
  title = {Using Geospatial Information in Sensor Networks},
  institution = {USC/Information Sciences Institute},
  year = {2001},
  sortdate = {2001-10-02},
  project = {ilense, scadds},
  jsubject = {sensornet_localization},
  number = {ISI-TR-546},
  month = oct,
  note = {Originally presented as part of the Workshop
                           on Intersections between Geospatial
                           Information and Information Technology,
                           National Research Council,
  			(but not a NRC report)},
  location = {johnh: folder: xxx},
  keywords = {localization, spatial sensor mining, xxx},
  url = {http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01e.html},
  pdfurl = {http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01e.pdf},
  psurl = {http://www.isi.edu/%7ejohnh/PAPERS/Heidemann01e.ps.gz},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {authors}
}
Copyright © by John Heidemann