Title :
Snoogle: A Search Engine for the Physical World
Author :
Haodong Wang ; Tan, Chiu C. ; Qun Li
Author_Institution :
Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA
Abstract :
Hardware advances will allow us to embed small devices into everyday objects such as toasters and coffee mugs, thus naturally form a wireless object network that connects the object with each other. This paper presents Snoogle, a search engine for such a network. Snoogle uses information retrieval techniques to index information and process user queries, and compression schemes such as Bloom filters to reduce communication overhead. Snoogle also considers security and privacy protections for sensitive data. We have implemented the system prototype on off-the-shelf sensor motes, and conducted extensive experiments to evaluate the system performance.
Keywords :
data compression; data privacy; public key cryptography; query processing; search engines; security of data; wireless sensor networks; Snoogle search engine; data privacy protection; data security; information compression scheme; information indexing; information retrieval technique; sensor network; user query processing; wireless object network; Communication system security; Data privacy; Data security; Hardware; Information filtering; Information filters; Information retrieval; Information security; Protection; Search engines;
Conference_Titel :
INFOCOM 2008. The 27th Conference on Computer Communications. IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-4244-2025-4
DOI :
10.1109/INFOCOM.2008.196