|
Title:
|
Modeling wireless sensor and actuator networks using frame theory |
|
Author:
|
Rozell, Chris; Johnson, Don
|
|
Type:
|
Conference Paper |
|
Keywords:
|
sensor networks; frame theory; actuator networks |
|
Citation:
|
C. Rozell and D. Johnson,"Modeling wireless sensor and actuator networks using frame theory," in International Conference on Information Processing in Sensor Networks (ISPN), |
|
Abstract:
|
Wireless sensor networks are often studied with the
goal of removing information from the network as efficiently as
possible. However, when the application also includes an actuator
network, it is advantageous to determine actions in-network.
In such settings, optimizing the sensor node behavior with
respect to sensor information fidelity will not necessarily translate
into optimum behavior in terms of action fidelity. Inspired by
neural systems, we present a model of a sensor and actuator
network based on the vector space tools of frame theory that
applies to applications analogous to reflex behaviors in biological
systems. Our analysis yields bounds on both absolute and average
actuation error that point directly to strategies for limiting sensor
communication based not only on local measurements but also
on a measure of how important each sensor-actuator link is to
the fidelity of the total actuation output. |
|
Date Published:
|
2005-11-01 |