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Plume localization and prediction using mobile sensors is the primary contribution of this paper. Plume concentration values, measured by chemical sensors at different locations, are used to estimate the source of the plume. This is achieved by employing a stochastic approximation technique to localize the source and compare its performance with the nonlinear least squares method. The source location...
In this paper, new time-varying wireless channel models that capture both the space and time variations of long- term and short-term fading wireless networks are developed. The proposed models are based on stochastic differential equations. These models are more realistic than the static ones usually encountered in the literature. Moreover, optimal power control algorithms based on the new models...
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