Professor Pawel Gburzynski
The UPI article Sensor network monitors the environment said
University of Alberta researchers say their network can provide continuous monitoring from anywhere in the world where the Internet is available.
The research team, including Pawel Gburzynski, Mario Nascimento, and Arturo Sanchez-Azofeifa, recently launched EcoNet — a functional wireless sensor network for environmental monitoring in the display house in the University of Alberta’s Agriculture/Forestry Center. The display house hosts a small, but feature-rich environment that mimics that of a tropical forest. Using a wireless sensor network, a number of sensors continuously monitor such factors as temperature and luminosity. The sensors process, store and transmit data cooperatively with other sensors to generate data that can then be collected and made available to users virtually anywhere on the globe.
The scientists said having data that can be continuously monitored substantially increases the chances of uncovering anomalies early enough to investigate them promptly and thoroughly.
Once the display-house prototype is tested and customized, the scientists said at least two sites are to be fully deployed — one likely in the Brazilian rainforest and the other in a forest in Panama.
Pawel Gburzynski, Ph.D. is Professor of Computing Science,
University of Alberta.
He is associate editor for the
International Journal of Communication
Systems and
Chief Scientist for
Olsonet Communications.
Pawel authored
Protocol Design for Local and Metropolitan Area Networks,
SIDE/SMURPH: a Modeling
Environment for Reactive Telecommunication Systems,
SFM: a Friendly and Reliable Implementation of Mail Channels for
Total Spam Avoidance,
and coauthored
Testing Real-time Properties of Embedded Systems,
On Reliable One-way Transmission of Data over Simple Wireless
Channels,
Taking Ad-hoc Literally: Route-less Routing in Practical,
Small-footprint, Ad-hoc Wireless Networks,
Fighting the Spam Wars: A Remailer Approach with Restrictive
Aliasing, and
A Neural Network Approach to Effective Bandwidth Characterization in
ATM Networks.
Read the
full list of his publications!
He developed:
- SFM: a system for spam avoidance by using limited time, restricted E-Mail aliases
- RabidFire: a spam filter and killer.
- SICLE: a scripting package for prototyping and implementing reactive programs and lightweight (web) servers. Included interface to SDS (Honeywell) sensors/actuators and X10 home networks.
- SIDE: a C++-based specification package for control programs driving real-time reactive systems. Included a gateway daemon interfacing sensor networks to the Internet and a Java interface to SIDE.
- SMURPH: an object-oriented, C++-based specification and simulation system for low-level communication protocols, currently used at many academic and industrial institution for research and education. Ported to the Macintosh and Windows.