Comprehensive Optimization of Declarative Sensor Network Queries

We present a novel sensor network query processing architecture that (a) covers all the query optimization phases that are required to map a declarative query to executable code; and (b) does so for a more expressive query language than has heretofore been supported over sensor networks. The architecture is founded on the view that a sensor network truly is a distributed computing infrastructure, albeit a very constrained one. As such, we address the problem of how to develop a comprehensive optimizer for an expressive declarative continuous query language over acquisitional streams as one of finding extensions to classical distributed query processing techniques that contend with the peculiarities of sensor networks as an environment for distributed computing. We show that the approach is effective and offers measurable improvements in performance compared to related work.

• Type: Conference
• Year: 2009
• Where: SSDBM
• Authors: Ixent Galpin, Christian Y. A. Brenninkmeijer, Farhana Jabeen, Alvaro A. A. Fernandes, Norman W. Paton
• Keywords: Database, Query Processing, Sensor Network Query, Sensor Networks, SSDBM 2009