By Koushil Sreenath, M.F. Mysorewalla, Dan O. Popa, Frank L. Lewis
This informative textual content for graduate scholars, researchers and practitioners engaged on cellular instant sensor networks offers theoretical established algorithms with a spotlight in the direction of sensible implementation.
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Additional resources for Adaptive Sampling with Mobile WSN: Simultaneous robot localisation and mapping of paramagnetic spatio-temporal fields
However, because the sampling volume could be large, only limited CH003 15 February 2011; 19:30:48 32 Adaptive sampling with mobile WSN measurements are available. Intuitively, a deliberate sampling strategy based on models will be more efficient than just a random sampling strategy. Popa et al.  described a combined multi-agent AS problem coupling uncertainty in localization as well as in the sensor measurements to achieve effective AS using a solar AUV, considering very simple, linear field models.
1 Parametric field representation Parametric representation is a model-based method in which parameters of a process model are estimated using techniques such as the Kalman filter, least squares estimation or other optimization schemes. CH003 15 February 2011; 19:30:48 30 Adaptive sampling with mobile WSN Christopoulos and Roumeliotis  present an approach for estimating the parameters of diffusion equation that describes the propagation of an instantaneously released gas. This is accomplished by first building a model considering factors such as the diffusion phenomena of the chemical, wind direction and speed, turbulence, etc.
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