Fuzzy Approach for Locating Sensors in Industrial Internet of Things | Zendy

Sarah El Hamdi | Zendy; Mustapha Oudani | Zendy; Abdellah Abouabdellah | Zendy; Anass Sebbar | Zendy

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Fuzzy Approach for Locating Sensors in Industrial Internet of Things

Author(s) -

Sarah El Hamdi,

Mustapha Oudani,

Abdellah Abouabdellah,

Anass Sebbar

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.11.012

Subject(s) - computer science , fuzzy logic , internet of things , reflection (computer programming) , the internet , industrial internet , production (economics) , ideal (ethics) , consumption (sociology) , big data , data science , computer security , artificial intelligence , data mining , world wide web , social science , philosophy , epistemology , sociology , economics , macroeconomics , programming language

Nowadays, in this era of a data driven thinking and reflection, data mining and data analysis are keys to any business survival in a competitive conjectural market. The internet of things is an emerging technology that manages to create a path for the new generation of industrial production system. This advanced technology is requirement to the proliferation of Smart factories, it represents the best tool to help this new concept of plants to organize themselves and optimize the available resources and their consumption. The purpose of this paper is two-pronged; a proposal for an architectural framework of the industrial internet of things, and a mathematical formulation based on fuzzy logic to determine the ideal location of sensors at the shop floor taking into consideration several restrictions.

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