Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Ali Hassan Sodhro; Li Chen; Aicha Sekhari; Yacine Ouzrout; Wanqing Wu

doi:10.1177/1550147717750030

Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Ali Hassan Sodhro, Li Chen, Aicha Sekhari, Yacine Ouzrout, Wanqing Wu

Research output: Contribution to journal › Review article › peer-review

45 Citations (Scopus)

Abstract

This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.

Original language	English
Journal	International Journal of Distributed Sensor Networks
Volume	14
Issue number	1
DOIs	https://doi.org/10.1177/1550147717750030
Publication status	Published - 2018-Jan-01
Externally published	Yes

Swedish Standard Keywords

Electrical Engineering, Electronic Engineering, Information Engineering (202)

Keywords

Battery
data rate control
energy efficiency
power
transmission power control
video transmission rate control algorithm
wireless body sensor networks

UN SDGs

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

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10.1177/1550147717750030

Cite this

@article{09c8f85f25e34894a1e2c7900c55ce2a,

title = "Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks",

abstract = "This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.",

keywords = "Battery, data rate control, energy efficiency, power, transmission power control, video transmission rate control algorithm, wireless body sensor networks",

author = "Sodhro, {Ali Hassan} and Li Chen and Aicha Sekhari and Yacine Ouzrout and Wanqing Wu",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is supported in part by the HEC Pakistan under the Start-Up Research Grant Program (SRGP) #21-1465/SRGP/R&D/HEC/2016, and Sukkur IBA University, Sukkur, Sindh, Pakistan, and science technology and innovation committee of Shenzhen for research projects (Grant JCYJ20160429174426094, JCYJ20151030151431727, JCYJ 20150529164154046), Shenzhen Highlevel Oversea Talent Program (Peacock Plan) (#KQJSCX20160301141522), the National Natural Science Foundation of China under grants (#61771462), Guangdong Province Science and the Technology Planning Project of (No. 2016A030310129, No. 201704020079), Natural Science Foundation for Distinguished Young Scholars of Guangdong Province, China (2014A030306029), the National Key Research and Development Program of China (2016YFC1300300). Publisher Copyright: {\textcopyright} 2018, {\textcopyright} The Author(s) 2018.",

year = "2018",

month = jan,

day = "1",

doi = "10.1177/1550147717750030",

language = "English",

volume = "14",

journal = "International Journal of Distributed Sensor Networks",

issn = "1550-1329",

publisher = "SAGE Publications Inc.",

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TY - JOUR

T1 - Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

AU - Sodhro, Ali Hassan

AU - Chen, Li

AU - Sekhari, Aicha

AU - Ouzrout, Yacine

AU - Wu, Wanqing

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work is supported in part by the HEC Pakistan under the Start-Up Research Grant Program (SRGP) #21-1465/SRGP/R&D/HEC/2016, and Sukkur IBA University, Sukkur, Sindh, Pakistan, and science technology and innovation committee of Shenzhen for research projects (Grant JCYJ20160429174426094, JCYJ20151030151431727, JCYJ 20150529164154046), Shenzhen Highlevel Oversea Talent Program (Peacock Plan) (#KQJSCX20160301141522), the National Natural Science Foundation of China under grants (#61771462), Guangdong Province Science and the Technology Planning Project of (No. 2016A030310129, No. 201704020079), Natural Science Foundation for Distinguished Young Scholars of Guangdong Province, China (2014A030306029), the National Key Research and Development Program of China (2016YFC1300300). Publisher Copyright: © 2018, © The Author(s) 2018.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.

AB - This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynamic nature of wireless on-body channel. The former one focuses on constant (fixed) transmission power level and variable data rate (“severe” conditions), for example, medical monitoring of the emergency patients. The latter considers variable transmission power level and constant (fixed) data rate (“less severe” conditions), for example, electrocardiography measurement for patients in wireless body sensor networks. Besides, energy efficiency comparison analysis of battery-driven or video transmission rate control algorithm and transmission power control–driven or power control algorithm is presented. Finally, proposed algorithms are analyzed and categorized as energy-efficient and battery-friendly for medical applications in wireless body sensor networks.

KW - Battery

KW - data rate control

KW - energy efficiency

KW - power

KW - transmission power control

KW - video transmission rate control algorithm

KW - wireless body sensor networks

U2 - 10.1177/1550147717750030

DO - 10.1177/1550147717750030

M3 - Review article

AN - SCOPUS:85041458515

SN - 1550-1329

VL - 14

JO - International Journal of Distributed Sensor Networks

JF - International Journal of Distributed Sensor Networks

IS - 1

ER -

Energy efficiency comparison between data rate control and transmission power control algorithms for wireless body sensor networks

Abstract

Swedish Standard Keywords

Keywords

UN SDGs

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