Paper on sensor networks by Gandhi and Suri wins the best paper award at IPSN ’07

The paper " Approximate Isocontours and Spatial Summaries for Sensor Networks" by graduate student Sorabh Gandhi and Professor Subhash Suri (co-authored with research colleague Dr. John Hershberger from Mentor Graphics) is awarded one of two best paper awards at the 6th Annual IPSN ’07, the premier conference on theoretical and systems aspects of sensor networks. The paper enables lightweight in-network data aggregation in sensor networks by proposing an algorithm to approximate a family of isocontours to any user-specified representation size, with a provable error guarantee. Sorabh Gandhi is currently a Ph.D. student in the Applied Algorithms Lab at UCSB, directed by Prof. Suri.