DocumentCode
3252469
Title
Exploration with massive sensor swarms
Author
Schlupkothen, Stephan ; Dartmann, Guido ; Ascheid, Gerd
Author_Institution
Integrated Signal Process. Syst., RWTH Aachen Univ., Aachen, Germany
fYear
2013
fDate
3-5 Dec. 2013
Firstpage
149
Lastpage
152
Abstract
In this paper algorithms for wireless sensor networks (WSN) localization and tracking are presented. They are optimized for the exploration of inaccessible environments with unknown shape and dynamics. The algorithms are based on semidefinite programming (SDP) and unscented Kalman filtering (UKF). The SDP approach is derived from a recent solution for WSN localization with anchor node uncertainty, but has been formulated iteratively and allows, therefore, the utilization of massive sensors swarms, which has not been investigates so far.
Keywords
Kalman filters; mathematical programming; nonlinear filters; radio tracking; wireless sensor networks; SDP approach; WSN localization; WSN tracking; massive sensor swarms; semidefinite programming; unscented Kalman filtering; wireless sensor networks; Accuracy; Complexity theory; Distance measurement; Kalman filters; Noise; Sensors; Wireless sensor networks; Localization; exploration; low power; senors; tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GlobalSIP.2013.6736837
Filename
6736837
Link To Document