Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published October 16, 2004 | public
Report Open

On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

Abstract

In this note we consider the following problem. Suppose a set of sensors is jointly trying to estimate a process. One sensor takes a measurement at every time step and the measurements are then exchanged among all the sensors. What is the sensor schedule that results in the minimum error covariance? We describe a stochastic sensor selection strategy that is easy to implement and is computationally tractable. The problem described above comes up in many domains out of which we discuss two. In the sensor selection problem, there are multliple sensors that cannot operate simultaneously (e.g., sonars in the same frequency band). Thus measurements need to be scheduled. In the sensor coverage problem, a geographical area needs to be covered by mobile sensors each with limited range. Thus from every position, the sensors obtain a different view-point of the area and the sensors need to optimize their positions. The algorithm is applied to these problems and illustrated through simple examples.

Files

Files (303.5 kB)
Name Size Download all
md5:28cd19c1c3651b265c0c41ceea83edb0
303.5 kB Download

Additional details

Created:
August 19, 2023
Modified:
March 5, 2024