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IoT Activities Tuning for Energy Consumption Optimization
Author(s) -
Ugur Tekin,
Jaafar Gaber,
Maxime Wack,
Julien Bourgeois
Publication year - 2020
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.2020.07.081
Subject(s) - computer science , energy consumption , consumption (sociology) , internet of things , energy (signal processing) , mathematical optimization , distributed computing , real time computing , embedded system , electrical engineering , social science , statistics , mathematics , sociology , engineering
This paper presents an approach for tuning IoT activity in order to control the message transmission frequency to reduce energy consumption. More precisely, instead of letting an IoT sending out data periodically and monotonically, the approach allows the determination of wake-up, messages transmission and reception periods, when events occur at suitable epochs. In other terms, energy consumption is reduced by avoiding useless wake-up to send data during slack periods. The approach uses the mathematical framework for discreet event system Max-Plus algebra. To illustrate the approach, a use case and numerical example is provided.

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