research-article

Self-evolvable knowledge-enhanced IoT data mobility for smart environment

Author:

Bin XiaoAuthors Info & Claims

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

Article No.: 28, Pages 1 - 14

https://doi.org/10.1145/3109761.3109789

Published: 17 October 2017 Publication History

Abstract

It has been a long time that the discussions regarding Internet of Things (IoT) have primarily focused on the communicative connectivity and infrastructure, while the data intelligence of IoT has not been paid enough attention to. However, with the growth of heterogeneous devices IoT introduce a pressure of massive amount of heterogeneous data, which makes it very important to explore the methods and tools to strengthen the IoT to intelligently deal with the incremental massive amounts of data. Towards that, this paper presents an IoT edge-based method to enable intelligent IoT entity connectivity for smart data provision, called smart data mobility. The presented method enables the IoT to perceive and learn from the environments, based on which to let the IoT entities interact with each other in a self-evolvable way for data sharing, in responding to the dynamically changing environments. The presented intelligence enablers for IoT can support smart services and digitalized functionalities from different domains and in different purposes, via strengthening the entities' connectivity with self-evolvable interaction relations to support the efficient and smart data exchanging.

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Cited By

Gheibi OWeyns DQuin F(2021)Applying Machine Learning in Self-adaptive SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/346944015:3(1-37)Online publication date: 18-Aug-2021
https://dl.acm.org/doi/10.1145/3469440
Xiao BRahmani RLi YKanter T(2017)Edge-based interoperable service-driven information distribution for intelligent pervasive servicesPervasive and Mobile Computing10.1016/j.pmcj.2017.07.00240:C(359-381)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.pmcj.2017.07.002

Index Terms

Self-evolvable knowledge-enhanced IoT data mobility for smart environment
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning
      2. Neural networks

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Published In

cover image ACM Other conferences

IML '17: Proceedings of the 1st International Conference on Internet of Things and Machine Learning

October 2017

581 pages

ISBN:9781450352437

DOI:10.1145/3109761

General Chairs:
Hani Hamdan
University of Paris-Saclay, Paris, France
,
Djallel Eddine Boubiche
University of Batna, Algeria
,
Program Chair:
Fanny Klett
German Workforce ADL Partnership Laboratory, Germany

Copyright © 2017 ACM.

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Published: 17 October 2017

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Stockholm University

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IML 2017

IML 2017: International Conference on Internet of Things and Machine Learning

October 17 - 18, 2017

Liverpool, United Kingdom

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Cited By

Gheibi OWeyns DQuin F(2021)Applying Machine Learning in Self-adaptive SystemsACM Transactions on Autonomous and Adaptive Systems10.1145/346944015:3(1-37)Online publication date: 18-Aug-2021
https://dl.acm.org/doi/10.1145/3469440
Xiao BRahmani RLi YKanter T(2017)Edge-based interoperable service-driven information distribution for intelligent pervasive servicesPervasive and Mobile Computing10.1016/j.pmcj.2017.07.00240:C(359-381)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.pmcj.2017.07.002

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