- Title
- Hybrid in-network query processing framework for wireless sensor networks
- Creator
- Pervin, Shaila; Kamruzzaman, Joarder; Karmakar, Gour; Azad, Arman
- Date
- 2011
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/156666
- Identifier
- vital:11465
- Identifier
-
https://doi.org/10.1109/icc.2011.5962797
- Identifier
- ISBN:0536-1486978-1-61284233-2
- Abstract
- Existing in-network query processing techniques are categorized as approximation and aggregation based approaches, where the former achieves lower network traffic at the expense of query response accuracy, whereas the later reduces query response inaccuracy by executing queries at the actual sensor nodes which necessitates the overhead of query specific sensor selection mechanism. In this paper, we propose a hybrid query processing framework that combines the advantages of both the approximation and aggregation based techniques and avoids their limitations. In our approach, we construct a hierarchical probabilistic data model representing the overall sensor data characteristics across the network, which is query independent and is later used for selecting sensor nodes to process user queries. Experimental results illustrate the efficacy of the proposed framework compared to contemporary approximation and aggregation based query processing techniques.
- Publisher
- IEEE
- Relation
- 2011 IEEE International Conference on Communications, ICC 2011; Kyoto, Japan; 5th-9th June 2011 p. 1-6
- Rights
- Copyright © 2011 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- In-network query processing; Network traffic; Probalistic data; Query processing techniques; Query response; Sensor data; Specific sensors; User query
- Reviewed
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