Paper Info
Title
Information-theoretic integration of sensing and communication for active robot networks
Abstract
This paper presents an information-theoretic approach to sensor placement that incorporates communication capacity into an optimal formulation. A new formulation is presented that maximizes the information rate achievable by a set of sensors communicating wirelessly to a single collection node. Shannon capacity and the standard radio propagation model are used to model the throughput achievable by a sensor configuration. Likewise, the d-optimality criterion from the active sensing literature is used to model information gain provided by range and bearing sensors. The combiniation of information-theoretic measures leads to a metric equivalent to the expected information rate achievable by the system. Sensor positions are selected that optimize this measure.
Year
DOI
Venue
2007
10.1007/s11036-008-0103-z
Mobile Networks and Applications
Keywords
DocType
Volume
active sensing,robot sensor network,wireless communication,information-theoretic motion planning
Conference
14.0
Issue
ISSN
Citations 
3
1383-469X
7
PageRank 
References 
Authors
0.84
15
1
Name
Order
Citations
PageRank
Eric W. Frew118226.73