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ISCC
2006
IEEE

Active Learning Driven Data Acquisition for Sensor Networks

13 years 9 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typically operated in one of two modes, viz. an always-on mode where every sensor reading is streamed to a base station, possibly after in-network aggregation, and a snapshot mode where a user queries the network for an instantaneous summary of the observed field. However, a continuum of data acquisition policies exists between these two extreme modes, depending upon the rate and manner in which each sensor node is queried. In this work, we explore this continuum to improve network energy efficiency. We present a data acquisition framework that models the evolution of the observed data field at each sensor location as a function of time and uses an active learning based criterion to intelligently sample each sensor. Sensor nodes in our framework are organized in a clustered hierarchy. Time-dependent models of sens...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi,
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where ISCC
Authors Anish Muttreja, Anand Raghunathan, Srivaths Ravi, Niraj K. Jha
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