NDLI: Energy Efficient Lossy Data Aggregation in Asynchronous Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Guojun Dai Jianhui Zhang Xingfa Shen Fang Chen Cheng Bo Changping Lv
Copyright Year	2010
Abstract	In wireless sensor networks, most of existing data aggregation scheduling methods try to aggregate the data from all the nodes at all time-instances. It is neither energy efficient nor practical because of the link unreliability and spatio-temporal data correlation. This paper proposes a lossy data aggregation scheme to allow estimated aggregation at the root by selectively letting some nodes sample at some time slots. Firstly, all nodes sample data synchronously and the error between the real value and estimated one is guaranteed to being bounded respectively with and without the link unreliability. And the error bound is analyzed when the confidence is given a priori. Then we also design an algorithm to assign the confidence level among the parents such that each parent can calculate the minimum number of needed leaves based on the assigned confidence level. Secondly, all nodes sample data asynchronously, under which we analyze the probability that the error could be bounded under a given confidence level. Then a new algorithm is designed to implement data aggregation under a synchronization. We also present the experiment based on a real test-bed to evaluate our schemes.
Starting Page	32
Ending Page	38
File Size	360156
Page Count	7
File Format	PDF
ISBN	9781424494569
DOI	10.1109/MSN.2010.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Wireless sensor networks Link Unreliability Lossy Data Aggregation Data Sampling Lead Nickel Mathematical model Resource management Wireless Sensor Networks Energy Efficiency Equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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