Abstract
Wireless sensor networks (WSNs) are usually deployed for monitoring systems with the distributed detection and estimation of sensors. Sensor selection in WSNs is considered for target tracking. A distributed estimation scenario is considered based on the extended information filter. A cost function using the geometrical dilution of precision measure is derived for active sensor selection. A consensus-based estimation method is proposed in this paper for heterogeneous WSNs with two types of sensors. The convergence properties of the proposed estimators are analyzed under time-varying inputs. Accordingly, a new adaptive sensor selection (ASS) algorithm is presented in which the number of active sensors is adaptively determined based on the absolute local innovations vector. Simulation results show that the tracking accuracy of the ASS is comparable to that of the other algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 267-281 |
| Number of pages | 15 |
| Journal | International Journal of General Systems |
| Volume | 43 |
| Issue number | 3-4 |
| DOIs | |
| State | Published - 7 May 2014 |
Bibliographical note
Funding Information:The authors would like to thank the reviewers for their constructive comments on our submission. This work is supported by the deanship of scientific research (DSR) at KFUPM through research group project No. RG-1316-1.
Keywords
- Adaptive sensor selection
- Distributed estimation
- Geometrical dilution of precision
- Wireless sensor networks
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Computer Science Applications