Students Chen and Liu win best paper award at WASA 2013

UMass Lowell Computer Science doctoral candidates Yinjie Chen and Zhongli Liu won the best paper award at the 8th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2013). 

Chen and Liu are the first author and second author respectively. They are advised by Prof. Xinwen Fu, associate professor of Computer Science at UMass Lowell.

WASA is an international conference on algorithms, systems, and applications of wireless networks. It is a forum for theoreticians, system and application designers, protocol developers and practitioners. 

Topics of interest include effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementation, experimental study and testbed validation, and new application exploration in wireless networks.

In their paper, Chen and Liu used a single device moving along a route for accurate and efficient localization without the help of any positioning infrastructure or trained signal strength map. They developed a Received Signal Strength (RSS) sampling process, and derived a mathematical model to determine the RSS sampling rate given the targetís distance and its packet transmission rate.

They designed and implemented BotLoc, which is a programmable and self-coordinated robot armed with a wireless sniffer for forensic localization. A video of BotLoc is at

The research is sponsored by NSF. Fuís group develops fundamental empirical and theoretical frameworks for forensic wireless localization via moving sniffers. 

As a separate note, Prof. Xinwen Fu is also winner of Best Paper Award at Communication and Information Systems Security Symposium, IEEE ICC 2013, a flagship conference on communications of IEEE. 

(L-R): Prof. Xinwen Fu, Yinjie Chen and Zhongli Liu.

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This page contains a single entry by Martin, Fred published on September 17, 2013 1:37 PM.

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