Zhou and Xing receive Best Paper Award at International Conference on Information Processing in Sensor Networks

Guoliang Xing, Assistant Professor of Computer Science and Engineering, and his Ph.D student Ruogu Zhou, recently received the Best Paper Award in the Sensor Platforms, Tools and Design Methods (SPOTS) track, the 12th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 8-13, 2013, Philadephia, USA. The paper is entitled "Nemo: A High-fidelity Noninvasive Power Meter System for Wireless Sensor Networks". This work presents the design and implementation of Nemo - a practical in situ power metering system for wireless sensor networks. Nemo employs novel circuit designs to achieve high power measurement fidelity, and realizes real-time communication with the host node via the power line. As a result, Nemo can retrofit aftermarket sensor platforms with the power metering capability, without physical wiring or soldering.

IPSN is a leading, single-track, annual forum on research in wireless, embedded, and networked sensing systems. The conference features two interleaved tracks, the Information Processing (IP) track, and the Sensor Platforms, Tools and Design Methods (SPOTS) track. The SPOTS track focuses on new hardware and software architectures, modeling, evaluation, deployment experiences, design methods, implementations, and tools for networked embedded sensor systems.

(Date Posted: 2013-04-11)