Xing receives NSF CAREER grant

Guoliang Xing , Assistant Professor of Computer Science and Engineering, has received an NSF CAREER award for the project "Design and Analysis of Performance-Critical Wireless Sensor Networks: A Fusion-Centric Approach". This project develops a principled approach to performance assurance of critical sensing network applications such as infrastructure (power grid and bridges) monitoring and natural hazard (volcanoes and earthquakes) detection.

In contrast to existing heuristics-based solutions, this approach adopts data fusion, an advanced information processing scheme, to enable resource-limited sensors to efficiently collaborate in delivering predictable network performance. The research aims of this project include novel performance modeling framework, network architecture, mobility support, and medium access control for fusion-centric sensor networks. This project will have impact on numerous mission-critical applications with stringent sensing and communication performance requirements.