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

Katedra Grafiki, Wizji Komputerowej i Systemów Cyfrowych (RAU/RAU6)

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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

9 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems
Wydawca	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniczny)	9798350336917
Identyfikatory DOI	https://doi.org/10.1109/CIEES58940.2023.10378778
Status publikacji	Opublikowano - 2023
Wydarzenie	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023 - Plovdiv, Bułgaria Czas trwania: 23 lis 2023 → 25 lis 2023

Seria publikacji

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

Konferencja

Konferencja	2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023
Kraj/Terytorium	Bułgaria
Miejscowość	Plovdiv
Okres	23/11/23 → 25/11/23

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 7 Przystępna i czysta energia

Obszary tematyczne ASJC Scopus

Inżynieria elektryczna i elektroniczna
Bezpieczeństwo, ryzyko, niezawodność i jakość
Informatyka medyczna
Systemy informacyjne i zarządzanie
Statystyka, prawdopodobieństwo i niepewność
Inżynieria energetyczna i technologia energetyczna
Sieci komputerowe i komunikacja
Systemy informacyjne

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10.1109/CIEES58940.2023.10378778

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Link do publikacji w Scopus

Cytowanie

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. W 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 i in. / 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).

@inproceedings{25612ac173854f9fb4eacd11685b8e7f,

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

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.",

keywords = "Green IoT, Markov models, design tradeoff, energy harvesting, self-powered IoT device",

author = "Kuaban, \{Godlove Suila\} and Tadeusz Czachorski and Erol Gelenbe and Sapana Sharma and Piotr Czekalski",

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",

year = "2023",

doi = "10.1109/CIEES58940.2023.10378778",

language = "English",

series = "CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems",

address = "United States",

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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. w 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, Bułgaria, 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 i 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).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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. W 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

Abstrakt

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Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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