Egemen Tanin
ABSTRACT
Efficient data acquisition in WSNs has attracted significant interest. For example, TinyDB [2] introduced query dissemination and data aggregation trees. Later, a probabilistic model of the physical world is used in [1]. Recently, [3] argues that probabilistic models of the physical world used in acquisition may miss outliers and introduces spatio-temporal suppression-based methods. We classify these established approaches as query-and-data centric approaches for optimizing the data acquisition process.
- A. Deshpande, C. Guestrin, S. Madden, J. M. Hellerstein, and W. Hong. Model-driven data acquisition in sensor networks. In VLDB, pages 588--599, 2004. Google Scholar
Digital Library
- S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. TinyDB: an acquisitional query processing system for sensor networks. ACM Trans. on Database Sys., 30(1):122--173, 2005. Google ScholarDigital Library
- A. Silberstein, R. Braynard, and J. Yang. Constraint chaining: on energy-efficient continuous monitoring in sensor networks. In SIGMOD, pages 157--168, 2006. Google ScholarDigital Library
Index Terms
- Application semantics in query optimization for WSNs
Recommendations
Multiresolution Spatial and Temporal Coding in a Wireless Sensor Network for Long-Term Monitoring Applications
In many WSN (wireless sensor network) applications, such as [1], [2], [3], the targets are to provide long-term monitoring of environments. In such applications, energy is a primary concern because sensor nodes have to regularly report data to the sink ...
Query optimization in multidatabase systems
CASCON '92: Proceedings of the 1992 conference of the Centre for Advanced Studies on Collaborative research - Volume 2A multidatabase system (MDBS) integrates information from autonomous local databases managed by heterogeneous database management systems (DBMS) in a distributed environment. For a query involving more than one database, global query optimization should ...
Semantic Query Optimization for Query Plans of Heterogeneous Multidatabase Systems
New applications of information systems, such as electronic commerce and healthcare information systems, need to integrate a large number of heterogeneous databases over computer networks. Answering a query in these applications usually involves ...
Comments