Journal
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Volume 21, Issue 8, Pages 1188-1202Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2009.145
Keywords
Snoogle; search; information retrieval; sensor networks
Funding
- US National Science Foundation [CNS-0721443, CNS-0831904, CNS-0747108]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [747108] Funding Source: National Science Foundation
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Embedding small devices into everyday objects like toasters and coffee mugs creates a wireless network of objects. These embedded devices can contain a description of the underlying objects, or other user defined information. In this paper, we present Snoogle, a search engine for such a network. A user can query Snoogle to find a particular mobile object, or a list of objects that fit the description. Snoogle uses information retrieval techniques to index information and process user queries, and Bloom filters to reduce communication overhead. Security and privacy protections are also engineered into Snoogle to protect sensitive information. We have implemented a prototype of Snoogle using off-the-shelf sensor motes, and conducted extensive experiments to evaluate the system performance.
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