A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

Godlove Suila Kuaban; Tadeusz Czachorski; Erol Gelenbe; Sapana Sharma; Piotr Czekalski

doi:10.1109/CIEES58940.2023.10378778

A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

Godlove Suila Kuaban
, Tadeusz Czachorski
, Erol Gelenbe
, Sapana Sharma
, Piotr Czekalski

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences
Maharishi Markandeshwar University, Mullana

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement.

Original language	English
Title of host publication	CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350336917
DOIs	https://doi.org/10.1109/CIEES58940.2023.10378778
Publication status	Published - 2023
Event	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023 - Plovdiv, Bulgaria Duration: 23 Nov 2023 → 25 Nov 2023

Publication series

Name	CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

Conference

Conference	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023
Country/Territory	Bulgaria
City	Plovdiv
Period	23/11/23 → 25/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Green IoT
Markov models
design tradeoff
energy harvesting
self-powered IoT device

ASJC Scopus subject areas

Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Health Informatics
Information Systems and Management
Statistics, Probability and Uncertainty
Energy Engineering and Power Technology
Computer Networks and Communications
Information Systems

Access to Document

10.1109/CIEES58940.2023.10378778

Cite this

Kuaban, G. S., Czachorski, T., Gelenbe, E., Sharma, S., & Czekalski, P. (2023). A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption. In CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEES58940.2023.10378778

Kuaban, Godlove Suila ; Czachorski, Tadeusz ; Gelenbe, Erol et al. / A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption. CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc., 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems).

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abstract = "The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement.",

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note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023 ; Conference date: 23-11-2023 Through 25-11-2023",

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language = "English",

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Kuaban, GS, Czachorski, T, Gelenbe, E, Sharma, S & Czekalski, P 2023, A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption. in CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023, Plovdiv, Bulgaria, 23/11/23. https://doi.org/10.1109/CIEES58940.2023.10378778

A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption. / Kuaban, Godlove Suila; Czachorski, Tadeusz; Gelenbe, Erol et al.
CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc., 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

AU - Kuaban, Godlove Suila

AU - Czachorski, Tadeusz

AU - Gelenbe, Erol

AU - Sharma, Sapana

AU - Czekalski, Piotr

PY - 2023

Y1 - 2023

N2 - The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement.

AB - The growing concerns about the resource sustainability and environmental impact of deploying billions or trillions of IoT devices in the various sectors of society or economy have given rise to an energy research field known as Green-IoT (G-IoT). G-IoT emphasises the need to prioritise energy efficiency and the reduction of pollution in the IoT ecosystem. This paper presents a Markov model for a self-powered Green IoT device with state-dependent energy consumption. The model evaluates the energy performance of a self-powered Green IoT device. We derive the probability distribution of the energy content of the battery, including the probability that the energy stored in the battery is completely depleted and the density of the lifetime of the IoT device. We investigate the influence of some design parameters on the results. Introducing the threshold at which the device is forced to enter an energy-saving regime significantly increases a G-IoT device's lifetime. Apart from deploying energy-efficient mechanisms to increase the lifetime of a G-IoT device, integrating an efficient energy harvesting system into the device will increase its lifetime and reduce the frequency of battery replacement.

KW - Green IoT

KW - Markov models

KW - design tradeoff

KW - energy harvesting

KW - self-powered IoT device

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DO - 10.1109/CIEES58940.2023.10378778

M3 - Conference contribution

AN - SCOPUS:85183588086

T3 - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

BT - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023

Y2 - 23 November 2023 through 25 November 2023

ER -

Kuaban GS, Czachorski T, Gelenbe E, Sharma S, Czekalski P. A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption. In CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems. Institute of Electrical and Electronics Engineers Inc. 2023. (CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems). doi: 10.1109/CIEES58940.2023.10378778

A Markov Model for a Self-Powered Green IoT Device with State-Dependent Energy Consumption

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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