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Distributed least-squares estimation of a remote chemical source via convex combination in wireless sensor networks.
- Source :
-
Sensors (Basel, Switzerland) [Sensors (Basel)] 2014 Jun 27; Vol. 14 (7), pp. 11444-66. Date of Electronic Publication: 2014 Jun 27. - Publication Year :
- 2014
-
Abstract
- This paper investigates the problem of locating a continuous chemical source using the concentration measurements provided by a wireless sensor network (WSN). Such a problem exists in various applications: eliminating explosives or drugs, detecting the leakage of noxious chemicals, etc. The limited power and bandwidth of WSNs have motivated collaborative in-network processing which is the focus of this paper. We propose a novel distributed least-squares estimation (DLSE) method to solve the chemical source localization (CSL) problem using a WSN. The DLSE method is realized by iteratively conducting convex combination of the locally estimated chemical source locations in a distributed manner. Performance assessments of our method are conducted using both simulations and real experiments. In the experiments, we propose a fitting method to identify both the release rate and the eddy diffusivity. The results show that the proposed DLSE method can overcome the negative interference of local minima and saddle points of the objective function, which would hinder the convergence of local search methods, especially in the case of locating a remote chemical source.
- Subjects :
- Equipment Design
Equipment Failure Analysis
Least-Squares Analysis
Remote Sensing Technology methods
Transducers
Air Pollutants analysis
Algorithms
Computer Communication Networks instrumentation
Data Interpretation, Statistical
Environmental Monitoring instrumentation
Remote Sensing Technology instrumentation
Wireless Technology instrumentation
Subjects
Details
- Language :
- English
- ISSN :
- 1424-8220
- Volume :
- 14
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Sensors (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 24977387
- Full Text :
- https://doi.org/10.3390/s140711444