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Efficiently searchable overlay for multimedia sensor storage

Surendar Chandra
Notre Dame University


Traditional wireless sensor network deployments use a wide variety of low fidelity sensors that capture environmental parameters such as temperature, humidity, light, motion etc. to detect and respond to potential threats. Our work focuses on widely deploying high fidelity multimedia sensors and storing the captured streams in in-situ storage. Smarter sensors analyze the stored streams to detect emerging threats; easily missed by simpler real time algorithms. Storage bricks are freely deployed alongside multimedia sensors to spatially localize the streams and allow for incrementally scalable storage. Our research focus is on self-managing and self-organizing mechanisms for a scalable storage of the sensed multimedia.

 In this presentation, I will briefly outline some of the research challenges for our multimedia storage.  I will also outline our overlay mechanisms that spatially localize the streams while maintaining good connectivity. Our unstructured overlay allows for efficient searches that can be leveraged to optimize for segment storage or retrieval. For a 10000 node system, we show that our system can locate objects within four hops for replication ratios as low as 0.05%.


Surendar Chandra is an assistant professor in the department of Computer Science & Engineering at the University of Notre Dame. He spent 2000-2002 as a faculty member at the University of Georgia. He received his Ph.D. degree in Computer Science from Duke University in 2000. His research interests lie in the areas of multimedia systems. His dissertation research focused on quality aware image transcoding. Previously, he also worked on energy conservation for streaming mobile multimedia. His work was supported by Defense Intelligence Agency, HP, National Science Foundation and Yamacraw. More info: