Title :
Observability and estimation in distributed sensor networks
Author :
Ji, Meng ; Egerstedt, Magnus
Author_Institution :
Georgia Inst. of Technol., Atlanta
Abstract :
A graph-based estimation method is proposed for distributed sensor networks. In particular, we study the problem of estimating a spatially distributed parameter. The proposed method is based on the consensus algorithm as well as basic linear control theory. As a consequence, observability of sensor networks is also investigated from the graph-theoretic point of view.
Keywords :
distributed sensors; graph theory; parameter estimation; distributed sensor networks; graph-based estimation method; linear control theory; observability; spatially distributed parameter; Base stations; Communication system control; Condition monitoring; Control theory; Costs; Frequency; Observability; Partitioning algorithms; Temperature sensors; USA Councils; Distributed sensor networks; agreement dynamics; algebraic graph theory; equitable partitions; networked systems; observability;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434659
