Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1080/03081079.2014.883712 | INTERNATIONAL JOURNAL OF GENERAL SYSTEMS |
Keywords | Field | DocType |
distributed estimation, adaptive sensor selection, geometrical dilution of precision, wireless sensor networks | Convergence (routing),Control theory,Real-time computing,Artificial intelligence,Information filtering system,Key distribution in wireless sensor networks,Brooks–Iyengar algorithm,Mobile wireless sensor network,Dilution of precision,Wireless sensor network,Machine learning,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
43 | 3-4 | 0308-1079 |
Citations | PageRank | References |
2 | 0.37 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Magdi S. Mahmoud | 1 | 790 | 98.50 |
| Matasm M. Hassan Hamid | 2 | 2 | 0.37 |