We propose to develop new tools for modeling the performance of sensor networks under a variety of environmental conditions (e.g., dust, sand, etc.). Our tools will model the following performance metrics for a given network: vulnerability, reliability, and power consumption / lifetime. Modeling these metrics will provide engineers with a tool for virtual prototyping that can quickly evaluate the performance of candidate network designs and new technologies. In addition, having models for all of these performance metrics will allow engineers to trade off these metrics when evaluating alternative designs. Our modeling approach will model the sensor network as a directed graph, allowing us to use state-of-the-art graph algorithms to model the routing and scheduling of packets through the network. We will also use geospatial data to represent environmental conditions, which will provide needed fidelity to our model. Our model with include functions for intelligent routing and scheduling, in which packets are routed and scheduled through the network in order to both avoid adverse conditions and maximize throughput.