Querying context maps using relative timing predicates in pervasive environments
Proceedings of the 6th International Workshop on Middleware Tools, Services and Run-time Support for Networked Embedded Systems
Energy-aware keyword search on mobile phones
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Searching in internet of things using VCS
Proceedings of the First International Conference on Security of Internet of Things
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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.