ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies.

Alberto Cerpa, Deborah Estrin

Abstract

Advances in micro sensor and radio technology will enable small but smart sensors to be deployed for a wide range of environmental monitoring applications Moreover, the low per node cost will allow these wireless networks of sensors and actuators to be densely distributed. The nodes in these dense networks will coordinate to perform the distributed sensing tasks. Moreover, as described in this paper, the nodes can also coordinate to exploit the redundancy provided by high density so as to extend overall system lifetime. The large number of nodes deployed in these systems will preclude manual configuration and the environmental dynamics will preclude design time pre-configuration Therefore nodes will have to self-configure to establish a topology that provides communication and sensing coverage under stringent energy constraints. In ASCENT each node assesses its connectivity and adapts its participation in the multihop network topology based on the measured operating region. This paper motivates and describes the ASCENT algorithm and presents results from experiments conducted on our wireless testbed.

Availability

PDF

Reference

Alberto Cerpa, Deborah Estrin, "ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies.," UCLA Technical Report TR-01-0009, pp. 1--14, Computer Science Department, University of California, Los Angeles, February, 2001.

Bibtex

@TechReport{Cerpa01a,
  author =       "Alberto Cerpa and Deborah Estrin",
  title =        "{ASCENT}: Adaptive Self-Configuring sEnsor Networks
                 Topologies.",
  institution =  "Computer Science Department, University of California,
                 Los Angeles",
  year =         "2001",
  number =       "UCLA Technical Report TR-01-0009",
  pages =        "1--14",
  month =        feb,
  URL =          "http://www.andes.ucmerced.edu/papers/Cerpa01a.pdf",
  cited =        "39",
}

Copyright

This paper is copyright © 2001 by its authors. Permission to make digital or hard copies of part or all of this work for personal use is granted without fee provided that copies are not made or distributed for profit or commercial purposes. New copies must bear this notice and the full citation on the first page. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission of the authors.