Name
Abstract | ||
|---|---|---|
In this letter, we consider the problem of activating the optimal combination of sensors to track a target moving through a network of sensors. Our objective is to minimize the predicted approximate error in the target position estimate subject to constraints on sensor usage and sensor-usage costs. We formulate the scheduling problem as a binary convex programming problem and solve it using the ou... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/LSP.2006.884007 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Resource management,Target tracking,Costs,Underwater tracking,Battery charge measurement,Approximation algorithms,Constraint optimization,Sonar measurements,Sensor phenomena and characterization,Scheduling algorithm | Mathematical optimization,Monte Carlo method,Job shop scheduling,Scheduling (computing),Computer science,Approximation theory,Sensor fusion,Resource allocation,Convex optimization,Binary number | Journal |
Volume | Issue | ISSN |
14 | 3 | 1070-9908 |
Citations | PageRank | References |
8 | 0.87 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amit S. Chhetri | 1 | 23 | 2.59 |
| Darryl Morrell | 2 | 159 | 17.45 |
| Antonia Papandreou-Suppappola | 3 | 234 | 29.88 |