Adaptive Sampling and Routing in a Floodplain Monitoring Sensor Network

We describe the design of a flood warning system which uses a set of sensor nodes to collect readings of water level and a grid-based flood predictor model developed by environmental experts to make flood predictions based on the readings. The reporting frequency of sensor nodes is required to be adaptive to local conditions as well as the flood predictor model to optimize battery consumption. We therefore propose an energy aware routing protocol which allows sensor nodes to consume energy according to this need. This system is notable both for the adaptive sampling regime and the methodology adopted in the design of the adaptive behavior, which involved development of simulation tools and close collaboration with environmental experts