NDLI: Multi-objects scalable coordinated learning in internet of things

Content Provider	Springer Nature Link
Author	Wang, JunPing Duan, ShiHui Shi, YouKang
Copyright Year	2015
Abstract	The coordinated learning is importance of technique for cooperative multi-objects system in large-scale Internet of Things . The coordinated learning has attracted a lot of attention for its applications in Internet of Things. However, the self-adaptive makes the coordinated learning difficult to be used in IoT. This paper proposes multi-objects scalable coordinated learning algorithm based on the maximum potential loss of coordination. The algorithm defines an interaction measure that allows objects to dynamically estimate the potential utility loss of coordination with any cluster of objects. The interaction mechanism makes each object compute their beneficial coordination set in different situations and makes the best use of their limited communication resource in Internet of Things. As a result of experiments, our algorithm adapts policy learning of object and their coordination network for different context. Finally, the experiments with the smart agriculture data set demonstrate that the proposed scheme is effective and robust.
Starting Page	1133
Ending Page	1144
Page Count	12
File Format	PDF
ISSN	16174909
Journal	Personal Technologies
Volume Number	19
Issue Number	7
e-ISSN	16174917
Language	English
Publisher	Springer London
Publisher Date	2015-08-27
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Coordinated Multi-objects system Meta-level control Coordinated learning User Interfaces and Human Computer Interaction Computer Science Personal Computing Mobile Computing
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Library and Information Sciences Computer Science Applications Hardware and Architecture

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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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