NDLI: Decentralized Sparse Signal Recovery for Compressive Sleeping Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Qing Ling Zhi Tian
Copyright Year	1991
Abstract	This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrained large-scale wireless sensor networks. Capitalizing on the spatial sparsity of localized phenomena, compressive data collection is enforced by turning off a fraction of sensors using a simple random node sleeping strategy, which conserves sensing energy and prolongs network lifetime. In the absence of a fusion center, sparse signal recovery via decentralized in-network processing is developed, based on a consensus optimization formulation and the alternating direction method of multipliers. In the proposed algorithm, each active sensor monitors and recovers its local region only, collaborates with its neighboring active sensors through low-power one-hop communication, and iteratively improves the local estimates until reaching the global optimum. Because each sensor monitors the local region rather than the entire large field, the iterative algorithm converges fast, in addition to being scalable in terms of transmission and computation costs. Further, through collaboration, the sensing performance is globally optimal and attains a high spatial resolution commensurate with the node density of the original network containing both active and inactive sensors. Simulations demonstrate the performance of the proposed approach.
Sponsorship	IEEE Signal Processing Society
Starting Page	3816
Ending Page	3827
Page Count	12
File Size	938092
File Format	PDF
ISSN	1053587X
Volume Number	58
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Iterative algorithms Monitoring Large-scale systems Turning Sensor phenomena and characterization Signal processing Optimization methods International collaboration Computational efficiency Alternating direction method of multipliers compressive sensing consensus optimization decentralized sparse signal recovery
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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