Interpolation is a technique used to estimate the value of a function at a given location, assuming that the values of the function are known for surrounding locations. A Wireless Sensor Network (WSN) is a spatially distributed set of sensor platforms usually with a range of sensory modalities e.g. temperature or light intensity. Interpolation can be used to intelligently activate nodes of a WSN for power conservation. In this paper we argue that this can form the basis for a distributed agent-based power management scheme and we propose an algorithm for achieving this. As a corollary to this approach we will also demonstrate the feasibility of using distributed, intelligent agents on computationally challenged devices such as the sensor nodes.