An Adaptive Programming Model for Environmental Sensor Networks Using Fuzzy Logic

In this paper, we present a sensor network programming model using fuzzy logic. A fuzzy controller model is used to dynamically control the rate of observation of environmental variables. Differing rates arise from changing environmental conditions. Inferencing using linguistic rules provides a compact, human friendly way to represent the knowledge base for controlling environmental sensor networks. Our programming model is illustrated with a simulation having two rules and three environmental variables.