DocumentCode
3114069
Title
Localization with Imprecise Distance Information in Sensor Networks
Author
Cao, M. ; Anderson, B.D.O. ; Morse, A.S.
Author_Institution
Yale University, m.cao@yale.edu.
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
2829
Lastpage
2834
Abstract
An approach to formulate geometric relations among distances between nodes as equality constraints is introduced in this paper to study the localization problem with imprecise distance information in sensor networks. These constraints can be further used to formulate optimization problems for distance estimation. The optimization solutions correspond to a set of distances that are consistent with the fact that sensor nodes live in the same plane or 3D space as the anchor nodes. These techniques serve as the foundation for most of the existing localization algorithms that depend on the sensors´ distances to anchors to compute each sensor’s location.
Keywords
Approximation methods; Art; Australia Council; Constraint optimization; Global Positioning System; Information technology; Intelligent networks; Military computing; Mobile communication; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1582592
Filename
1582592
Link To Document