ENERGY-NEUTRAL DATA DELIVERY IN ENVIRONMENTALLY-POWERED WIRELESS SENSOR NETWORKS

Abstract

Data delivery in environmentally-powered wireless sensor network (EPWSN) is challenging because the networking protocols must constantly adjust their operation to attain energy-neutrality. In this thesis, we address four problems that impact data delivery in EPWSNs. First, we design a dynamic wakeup scheduling scheme that reduces the expected sleep latency while retaining low-complexity. Second, we formulate a forwarding metric that simultaneously considers sleep latency and wireless link quality for selecting low latency end-to-end paths in the presence of dynamic duty-cycling nodes and diverse wireless links. Third, we formulate a model that considers traffic load using discrete-time queueing theory and can be used for minimizing end-to-end path latencies. And finally, we propose an adaptive control scheme that employs packet train-based forwarding to optimize transfer throughput while ensuring duty cycle compliance. We evaluate the performance of the proposed schemes using either network simulations or experiments.