Abstract:

Wireless sensor networks (WSNs) are fundamentally changing today’s practice of numerous scientific and engineering endeavors by enabling continuous monitoring and sensing physical variables of interest at unprecedented high spatial densities and long time durations. This has significantly impacted such varied fields as environmental sciences, ecosystems, hydrology, water resources, natural hazards, accurate agriculture, and smart building. Most environmental monitoring WSNs are deployed in harsh or even hostile environments such as mountainous areas, hilly watersheds, forests, volcano areas, and oceans, and thus the replacement of battery for sensor nodes is usually impossible or difficult. Yet, WSNs are growing rapidly in both size and complexity, making it increasingly critical to monitor the WSN structure and dynamics and identify any internal problems using indirect measurements obtained at the WSN sink(s). In this talk, I will first discuss about the unique challenges of WSN routing topology tomography/inference because of the severe resource constraints (e.g., battery power, bandwidth, memory size, and CPU capacity) of tiny sensor nodes and wireless channel dynamics, as well as the understanding of WSN energy profile in real-world deployments. I will then share my group’s work in addressing these challenges with our novel approaches, and present our results using a real-world WSN testbed.

Bio:

Host:

Dr. Guoliang Xing