Green and friendly media transmission algorithms for wireless body sensor networks

Video transmission is considered as a quite significant step towards health monitoring of the emergency patients during any critical incident. However, the energy hungry video transmission and slow progress in battery technologies have become a major and serious problem for the evolution of video te...

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Vydané v:	Multimedia tools and applications Ročník 76; číslo 19; s. 20001 - 20025
Hlavní autori:	Sodhro, Ali Hassan, Li, Ye, Shah, Madad Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2017 Springer Nature B.V
Predmet:	Algorithms Bandwidths Batteries Body area networks Clean energy Computer Communication Networks Computer Science Data Structures and Information Theory Electronic devices Energy conservation Energy consumption Energy transmission High current Infants Medical electronics Multimedia Information Systems Older people Portable equipment Power consumption Renewable energy Sensors Smoothing Special Purpose and Application-Based Systems Telecommunications industry Video transmission Wireless sensor networks BSA Green and friendly Sustainable La WBSN
ISSN:	1380-7501, 1573-7721
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Abstract	Video transmission is considered as a quite significant step towards health monitoring of the emergency patients during any critical incident. However, the energy hungry video transmission and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in WBSNs. Therefore, the need arose to conduct research on sustainable, “Green”, i.e., energy-efficient and “Friendly”, i.e., battery-friendly technologies to cater the need of upcoming mobile and portable devices. The main challenge addressed in this research is how to increase the battery lifetime during on-demand Variable Bit Rate (VBR) video transmission from medical video server to base station in WBSNs. In order to overcome this problem, sustainable, Green and Friendly frame transmission algorithms are enunciated i.e. Lazy Algorithm (LA) and Battery-friendly Smoothing Algorithm (BSA) with analytical battery model. The proposed algorithms minimize transmission energy consumption, battery charge consumption and high current profile. These algorithms also prolongs the battery lifetime of those sensor nodes during video transmission. Experimental results demonstrates that BSA outperforms LA to minimize battery drain by improving its lifetime up to 19.8 %. However, the LA performs better than BSA in context of transmission energy saving up to 49.49 %. Furthermore, a video transmission framework of Remote Medical Education System (RMES) for elderly persons and infants is proposed to provide viable and sustainable battery solutions to serve the community.
AbstractList	Video transmission is considered as a quite significant step towards health monitoring of the emergency patients during any critical incident. However, the energy hungry video transmission and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in WBSNs. Therefore, the need arose to conduct research on sustainable, “Green”, i.e., energy-efficient and “Friendly”, i.e., battery-friendly technologies to cater the need of upcoming mobile and portable devices. The main challenge addressed in this research is how to increase the battery lifetime during on-demand Variable Bit Rate (VBR) video transmission from medical video server to base station in WBSNs. In order to overcome this problem, sustainable, Green and Friendly frame transmission algorithms are enunciated i.e. Lazy Algorithm (LA) and Battery-friendly Smoothing Algorithm (BSA) with analytical battery model. The proposed algorithms minimize transmission energy consumption, battery charge consumption and high current profile. These algorithms also prolongs the battery lifetime of those sensor nodes during video transmission. Experimental results demonstrates that BSA outperforms LA to minimize battery drain by improving its lifetime up to 19.8 %. However, the LA performs better than BSA in context of transmission energy saving up to 49.49 %. Furthermore, a video transmission framework of Remote Medical Education System (RMES) for elderly persons and infants is proposed to provide viable and sustainable battery solutions to serve the community. Video transmission is considered as a quite significant step towards health monitoring of the emergency patients during any critical incident. However, the energy hungry video transmission and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in WBSNs. Therefore, the need arose to conduct research on sustainable, “Green”, i.e., energy-efficient and “Friendly”, i.e., battery-friendly technologies to cater the need of upcoming mobile and portable devices. The main challenge addressed in this research is how to increase the battery lifetime during on-demand Variable Bit Rate (VBR) video transmission from medical video server to base station in WBSNs. In order to overcome this problem, sustainable, Green and Friendly frame transmission algorithms are enunciated i.e. Lazy Algorithm (LA) and Battery-friendly Smoothing Algorithm (BSA) with analytical battery model. The proposed algorithms minimize transmission energy consumption, battery charge consumption and high current profile. These algorithms also prolongs the battery lifetime of those sensor nodes during video transmission. Experimental results demonstrates that BSA outperforms LA to minimize battery drain by improving its lifetime up to 19.8 %. However, the LA performs better than BSA in context of transmission energy saving up to 49.49 %. Furthermore, a video transmission framework of Remote Medical Education System (RMES) for elderly persons and infants is proposed to provide viable and sustainable battery solutions to serve the community.
Author	Li, Ye Shah, Madad Ali Sodhro, Ali Hassan
Author_xml	– sequence: 1 givenname: Ali Hassan surname: Sodhro fullname: Sodhro, Ali Hassan email: ali.hassan@iba-suk.edu.pk, ali.hassan@siat.ac.cn organization: Sukkur Institute of Business Administration, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Research Center for Biomedical Information Technology, SIAT-CAS – sequence: 2 givenname: Ye surname: Li fullname: Li, Ye organization: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences – sequence: 3 givenname: Madad Ali surname: Shah fullname: Shah, Madad Ali organization: Sukkur Institute of Business Administration
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CitedBy_id	crossref_primary_10_1007_s11042_018_5634_0 crossref_primary_10_1109_ACCESS_2018_2859205 crossref_primary_10_1016_j_future_2018_03_052 crossref_primary_10_32604_cmc_2020_012515 crossref_primary_10_3390_s18030923 crossref_primary_10_3390_electronics10040367 crossref_primary_10_1007_s11235_019_00597_1 crossref_primary_10_1109_TCSI_2020_3001064 crossref_primary_10_3390_su13158465 crossref_primary_10_3390_su10041258 crossref_primary_10_1007_s00530_020_00698_x crossref_primary_10_1109_TITS_2023_3303404 crossref_primary_10_1016_j_jclepro_2019_118401 crossref_primary_10_1109_ACCESS_2019_2904079
Cites_doi	10.5121/ijcnc.2012.4314 10.1007/s11704-010-0386-7 10.3390/s150511993 10.5121/ijcnc.2013.5109 10.1109/TBC.2008.2000422 10.1109/JSEN.2013.2276617 10.1007/s11036-008-0128-3 10.1109/TBC.2015.2400816 10.1109/TITB.2011.2154384 10.1007/s11036-008-0032-x 10.1016/j.comcom.2012.06.009 10.2478/mms-2013-0036 10.1109/SURV.2008.080404 10.1109/SURV.2012.021312.00045 10.1109/JCN.2012.6253061 10.4236/etsn.2013.21001 10.1109/TVLSI.2003.819320 10.1109/TNET.2002.801419 10.3390/s8084529 10.1007/978-3-319-08219-6_5 10.2528/PIERB08122303 10.4108/icst.mobihealth.2014.257415 10.1145/2593069.2596670 10.1109/Ubi-HealthTech.2013.6708053 10.1109/ECCE.2009.5316128 10.1109/APEC.2010.5433597 10.1109/WoWMoM.2012.6263734
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Copyright	Springer Science+Business Media New York 2016. corrected publication 2023 Springer Science+Business Media New York 2016. corrected publication 2023.
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Snippet	Video transmission is considered as a quite significant step towards health monitoring of the emergency patients during any critical incident. However, the...
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SubjectTerms	Algorithms Bandwidths Batteries Body area networks Clean energy Computer Communication Networks Computer Science Data Structures and Information Theory Electronic devices Energy conservation Energy consumption Energy transmission High current Infants Medical electronics Multimedia Information Systems Older people Portable equipment Power consumption Renewable energy Sensors Smoothing Special Purpose and Application-Based Systems Telecommunications industry Video transmission Wireless sensor networks
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Title	Green and friendly media transmission algorithms for wireless body sensor networks
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