Title
Optimization of Correlated Source Coding for Event-Based Monitoring in Sensor Networks
Abstract
Motivated by the paradigm of event-based monitoring,which can potentially alleviate the inherent bandwidth and energy constraints associated with wireless sensor networks, we consider the problem of joint coding of correlated sources under a cost criterion that is appropriately conditioned on event occurrences. The underlying premise is that individual sensors only have access to partial information and, in general, cannot reliably detect events. Hence, sensors optimally compress and transmit the data to a fusion center, so as to minimize the {\emph{expected distortion in segments containing events}}. In this work, we derive and demonstrate the approach in the setting of entropy constrained distributed vector quantizer design,using a modified distortion criterion that appropriately accounts for the joint statistics of the events and the observation data. Simulation results show significant gains over conventional design as well as existing heuristic based methods, and provide experimental evidence to support the promise of our approach.
Year
DOI
Venue
2009
10.1109/DCC.2009.56
Snowbird, UT
Keywords
Field
DocType
correlated source,joint coding,observation data,sensor networks,vector quantizer design,event-based monitoring,expected distortion,modified distortion criterion,joint statistic,sensors optimally compress,cost criterion,conventional design,entropy,sensor network,source coding,data compression,wireless sensor network,distributed source coding,decoding,wireless sensor networks,sensor fusion,bandwidth,data mining,probability density function,vector quantization,source code
Heuristic,Computer science,Algorithm,Theoretical computer science,Real-time computing,Sensor fusion,Vector quantization,Distributed source coding,Condition monitoring,Fusion center,Distortion,Wireless sensor network
Conference
ISSN
ISBN
Citations 
1068-0314
978-1-4244-3753-5
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Jaspreet Singh Suri133729.90
Ankur Saxena217121.64
Kenneth Rose31261119.38
Upamanyu Madhow43025293.76