DocumentCode :
2454474
Title :
An Energy-Driven Design Methodology for Distributing DSP Applications across Wireless Sensor Networks
Author :
Shen, Chung-Ching ; Plishker, William ; Bhattacharyya, Shuvra S. ; Goldsman, Neil
Author_Institution :
Univ. of Maryland, College Park
fYear :
2007
fDate :
3-6 Dec. 2007
Firstpage :
214
Lastpage :
226
Abstract :
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and low power requirements. Based on the need for extended network lifetimes in WSNs in terms of energy use, the energy efficiency of computation and communication operations in the embedded sensor nodes becomes critical. Digital signal processing (DSP) applications typically require intensive data processing operations. They are difficult to apply directly in resource-limited WSNs because their operational complexity can strongly influence the network lifetime. In this paper, we present a design methodology for modeling and implementing DSP applications applied to wireless sensor networks. This methodology explores efficient modeling techniques for DSP applications, including acoustic sensing and data processing; derives formulations of energy-driven partitioning for distributing such applications across wireless sensor networks; and develops efficient heuristic algorithms for finding partitioning results that maximize the network lifetime. A case study involving a speech recognition system demonstrates the capabilities of our proposed methodology.
Keywords :
signal processing; wireless sensor networks; DSP applications; acoustic sensing; data processing; digital signal processing; energy-driven design methodology; energy-driven partitioning; operational complexity; resource-limited embedded sensor nodes; speech recognition system; wireless sensor networks; Acoustic applications; Computer networks; Data processing; Design methodology; Digital signal processing; Embedded computing; Energy efficiency; Heuristic algorithms; Partitioning algorithms; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Real-Time Systems Symposium, 2007. RTSS 2007. 28th IEEE International
Conference_Location :
Tucson, AZ
ISSN :
1052-8725
Print_ISBN :
978-0-7695-3062-8
Type :
conf
DOI :
10.1109/RTSS.2007.32
Filename :
4408306
Link To Document :
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