Multi-query optimization for sensor networks

  • Authors:

  • Niki Trigoni;Yong Yao;Alan Demers;Johannes Gehrke;Rajmohan Rajaraman

  • Affiliations:

  • Department of Computer Science and Inf. Systems, Birkbeck College, University of London;Department of Computer Science, Cornell University;Department of Computer Science, Cornell University;Department of Computer Science, Cornell University;College of Computer and Information Science, Northeastern University

  • Venue:
  • DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
  • Year:
  • 2005

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Abstract

The widespread dissemination of small-scale sensor nodes has sparked interest in a powerful new database abstraction for sensor networks: Clients “program” the sensors through queries in a high-level declarative language permitting the system to perform the low-level optimizations necessary for energy-efficient query processing. In this paper we consider multi-query optimization for aggregate queries on sensor networks. We develop a set of distributed algorithms for processing multiple queries that incur minimum communication while observing the computational limitations of the sensor nodes. Our algorithms support incremental changes to the set of active queries and allow for local repairs to routes in response to node failures. A thorough experimental analysis shows that our approach results in significant energy savings, compared to previous work.