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Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks
In Wireless Body Area Networks (BAN), energy consumption, energy harvesting, and data communication are the three most important issues. In this paper, we develop an optimal allocation algorithm (OAA) for sensor devices, which are carried by or implanted in human body, harvest energy from their surr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697815/ https://www.ncbi.nlm.nih.gov/pubmed/36433618 http://dx.doi.org/10.3390/s22229023 |
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author | Li, Limiao Long, Junyao Zhou, Wei Jolfaei, Alireza Haghighi, Mohammad Sayad |
author_facet | Li, Limiao Long, Junyao Zhou, Wei Jolfaei, Alireza Haghighi, Mohammad Sayad |
author_sort | Li, Limiao |
collection | PubMed |
description | In Wireless Body Area Networks (BAN), energy consumption, energy harvesting, and data communication are the three most important issues. In this paper, we develop an optimal allocation algorithm (OAA) for sensor devices, which are carried by or implanted in human body, harvest energy from their surroundings, and are powered by batteries. Based on the optimal allocation algorithm that uses a two-timescale Lyapunov optimization approach, we design a framework for joint optimization of network service cost and network utility to study energy, communication, and allocation management at the network edge. Then, we formulate the utility maximization problem of network service cost management based on the framework. Specifically, we use OAA, which does not require prior knowledge of energy harvesting to decompose the problem into three subproblems: battery management, data collection amount control and transmission energy consumption control. We solve these through OAA to achieve three main goals: (1) balancing the cost of energy consumption and the cost of data transmission on the premise of minimizing the service cost of the devices; (2) keeping the balance of energy consumption and energy collection under the condition of stable queue; and (3) maximizing network utility of the device. The simulation results show that the proposed algorithm can actually optimize the network performance. |
format | Online Article Text |
id | pubmed-9697815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96978152022-11-26 Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks Li, Limiao Long, Junyao Zhou, Wei Jolfaei, Alireza Haghighi, Mohammad Sayad Sensors (Basel) Article In Wireless Body Area Networks (BAN), energy consumption, energy harvesting, and data communication are the three most important issues. In this paper, we develop an optimal allocation algorithm (OAA) for sensor devices, which are carried by or implanted in human body, harvest energy from their surroundings, and are powered by batteries. Based on the optimal allocation algorithm that uses a two-timescale Lyapunov optimization approach, we design a framework for joint optimization of network service cost and network utility to study energy, communication, and allocation management at the network edge. Then, we formulate the utility maximization problem of network service cost management based on the framework. Specifically, we use OAA, which does not require prior knowledge of energy harvesting to decompose the problem into three subproblems: battery management, data collection amount control and transmission energy consumption control. We solve these through OAA to achieve three main goals: (1) balancing the cost of energy consumption and the cost of data transmission on the premise of minimizing the service cost of the devices; (2) keeping the balance of energy consumption and energy collection under the condition of stable queue; and (3) maximizing network utility of the device. The simulation results show that the proposed algorithm can actually optimize the network performance. MDPI 2022-11-21 /pmc/articles/PMC9697815/ /pubmed/36433618 http://dx.doi.org/10.3390/s22229023 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Limiao Long, Junyao Zhou, Wei Jolfaei, Alireza Haghighi, Mohammad Sayad Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title | Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title_full | Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title_fullStr | Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title_full_unstemmed | Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title_short | Joint Optimization of Energy Consumption and Data Transmission in Smart Body Area Networks |
title_sort | joint optimization of energy consumption and data transmission in smart body area networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697815/ https://www.ncbi.nlm.nih.gov/pubmed/36433618 http://dx.doi.org/10.3390/s22229023 |
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