NDLI: Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Lu Su Shaohan Hu Shen Li Feng Liang Jing Gao Abdelzaher, T.F. Jiawei Han
Copyright Year	2012
Abstract	In this paper, we provide a quality of information (QoI) based data selection and transmission service for classification missions in sensor networks. We first identify the two aspects of QoI, data reliability and data redundancy, and then propose metrics to estimate them. In particular, reliability implies the degree to which a sensor node contributes to the classification mission, and can be estimated through exploring the agreement between this node and the majority of others. On the other hand, redundancy represents the information overlap among different sensor nodes, and can be measured via investigating the similarity of their clustering results. Based on the proposed QoI metrics, we formulate an optimization problem that aims at maximizing the reliability of sensory data while eliminating their redundancies under the constraint of network resources. We decompose this problem into a data selection sub problem and a data transmission sub problem, and develop a distributed algorithm to solve them separately. The advantages of our schemes are demonstrated through the simulations on not only synthetic data but also a set of real audio records.
Starting Page	327
Ending Page	338
File Size	379437
Page Count	12
File Format	PDF
ISBN	9781467330985
ISSN	10528725
DOI	10.1109/RTSS.2012.83
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Entropy Redundancy Clustering algorithms Probability Impurities Data Redundancy Sensor Networks Quality of Information Data Selection Data Reliability
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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