Publication Type

Conference Proceeding Article

Version

submittedVersion

Publication Date

3-2006

Abstract

In this paper, we design and evaluate an energy efficient data retrieval architecture for continuous aggregate queries in wireless sensor networks. We show how the modification of precision in one sensor affects the sample-reporting frequency of other sensors, and how the precisions of a group of sensors may be collectively modified to achieve the target quality of information (QoI) with higher energy-efficiency. The proposed collective adaptive precision setting (CAPS) architecture is then extended to exploit the observed temporal correlation among successive sensor samples for even greater energy efficiency. Detailed simulations with synthetic and real data traces demonstrate how the combination of weak consistency semantics and temporal correlation can dramatically lower the energy consumption in practical sensor environments

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

2006 IEEE International Conference on Pervasive Computing and Communications 4th PerCom: March 13-17, Pisa, Italy: Proceedings

First Page

190

Last Page

199

ISBN

9780769525181

Identifier

10.1109/PERCOM.2006.14

Publisher

IEEE Computer Society

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/PERCOM.2006.14

Download

Share

COinS