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A Model of an Energy-Aware IoT

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 189))

Abstract

Since a large number of devices and servers are interconnected, the IoT (Internet of Things) consumes a large volume of electric energy. In the FC (Fog Computing) model of the IoT, some processes of a sensor application for processing sensor data are executed on fog nodes and the other parts on servers. In our previous studies, the TBFC (Tree-Based FC) and FTBFC (Flexible TBFC) models are proposed, Here, application processes are replicated and distributed in fog nodes which are structured in a tree. In thee FTBFC model, the tree structure of fog nodes is changed to reduce the energy consumption. Here, the energy consumption of the changed tree is obtained by the simulation but it takes time to do the simulation, especially in a scalable tree. In this paper, we newly propose a mathematical model to estimate the total energy consumption of only nodes which are changed. By using the model, we discuss by which change operation on a target node the total energy consumed by the target node and changing nodes can be reduced.

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Acknowledgment

This work is supported by Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number 22K12018.

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Authors and Affiliations

  1. RCCMS, Hosei University, Tokyo, Japan

    Dilawaer Duolikun & Makoto Takizawa

  2. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Dilawaer Duolikun
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  2. Tomoya Enokido
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  3. Makoto Takizawa
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Corresponding author

Correspondence to Dilawaer Duolikun .

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Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Duolikun, D., Enokido, T., Takizawa, M. (2024). A Model of an Energy-Aware IoT. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing . 3PGCIC 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-031-46970-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-46970-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-46969-5

  • Online ISBN: 978-3-031-46970-1

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