NDLI: A general distributed consensus algorithm for wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jinho Choi Shancang Li Xinheng Wang Jeongseok Ha
Copyright Year	2012
Description	Author affiliation: College of Engineering, Swansea University, Swansea, SA2 8PP, UK (Jinho Choi; Shancang Li; Xinheng Wang) \|\| Deptment of Electrical Engineering, KAIST, Korea (Jeongseok Ha)
Abstract	In wireless sensor networks, distributed consensus algorithms can be employed for distributed detection. Each sensor node can compute its log-likelihood ratio (LLR) from local observations for a target event and using an iterative distributed algorithm, the average of sensors' LLRs can be available to all the sensor nodes. While the average of sensors' LLRs allows each sensor node to make a final decision as a decision statistic for an overall detection problem with all sensors' LLRs, it may be desirable if all sensors' LLRs or local observations, which form a full information vector and denoted by x, could be available to each sensor for other purposes more than the detection of a target event In this paper, we show that each sensor can have not only the average of local observations, but also full information vector, x, (or its estimate) using a well-known iterative distributed algorithm. We extend the proposed approach to estimate x when x is sparse based on the notion of compressed sensing.
Starting Page	16
Ending Page	21
File Size	1561204
Page Count	6
File Format	PDF
ISBN	9781457721939
e-ISBN	9781457721946
DOI	10.1109/WiAd.2012.6296556
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-25
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

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