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PhD Forum: Sensor Based Spatio-Temporal Soil Hydrodynamic Modeling

Overground Wireless Sensor Network (WSN) is reaching its final stage of being able to pass the test of resiliency and reliability. However, the network protocol for underground communication and sensor applications are still evolving. Thus, in this work, we propose to study the sustainability of a wireless underground sensor network (WUSNs) built by fine-grained spatiotemporal sensing grids. The metrics for our system's sustainability measure are reliability, resiliency and the longevity of the device. In this work, we propose to build a low-cost automated WUSN system that can collect and map out the subsurface groundwater movement. Our system senses spatiotemporal soil moisture levels and generates a predictive model to quantify the groundwater movement in soil strata. We propose an end to end system that can monitor soil moisture level during and after the rainfall. The prototype consists of a rain gauge, soil moisture sensors mesh and data storage/transfer unit. The results from this work will document the feasibility and challenges associated with the deployment of the underground sensor network.