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Efficient Querying and Data Management in Sensor and Ad-Hoc Networks

This research explores efficient join operations and data gathering techniques for sensor networks, focusing on caching and data storage in ad-hoc environments and multi-reader RFID systems. Further, it investigates rule-based object-oriented knowledge representation within the Semantic Web framework, emphasizing languages and ontologies for enhancing Web services. Additionally, we delve into secure query interfaces to ensure correctness and privacy in networked relational databases, alongside distributed query protocols that uphold computational privacy in sensor networks.

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Efficient Querying and Data Management in Sensor and Ad-Hoc Networks

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  1. DB/IR Research at Stony Brook http://www.cs.stonybrook.edu • Himanshu Gupta (Sensor Networks and Databases) • Efficient JOIN and Data Gathering for Sensor Networks • Caching and Data Storage in Ad-Hoc Networks, Multi-Reader RFID systems • Michael Kifer (Semantic Web Research) • Flora 2: Rule-Based Object-Oriented Knowledge Representation/Manipulation • Languages and ontologies for Semantic Web Services • Annie Liu • Generating efficient implementations from extended Datalog rules, object-set comprehensions, and regular path queries with time and space guarantees. • Applications in RBAC, trust management, information flow analysis. • Radu Sion (Network Security and Applied Cryptography Lab) • The Secure Query Interface (SQi): Query Correctness and Privacy for networked relational data stores. • NS3: Networked Secure Searchable Storage with Privacy and Correctness. • Sensor Networks Query Privacy: Distributed query protocols with computational privacy. • Anita Wasilewska (Data mining, Bioinformatics)

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