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


Xi Wang, Fabio Silva and John Heidemann. Infrastructureless Location Aware Configuration for Sensor Networks. Technical Report ISI-TR-2004-589. USC/Information Sciences Institute. [PDF] [alt PDF]


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

  author = {Wang, Xi and Silva, Fabio and Heidemann, John},
  title = {Infrastructureless Location Aware Configuration for Sensor Networks},
  institution = {USC/Information Sciences Institute},
  year = {2004},
  sortdate = {2004-06-01},
  project = {ilense, whumls, surese},
  jsubject = {chronological},
  number = {ISI-TR-2004-589},
  month = jun,
  location = {johnh: pafile},
  url = {},
  pdfurl = {},
  myorganization = {USC/Information Sciences Institute},
  copyrightholder = {authors}
Copyright © by John Heidemann