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Status已发表Published
TitleTowards an optimal resource management for IoT based Green and sustainable smart cities
Creator
Date Issued2019-05-20
Source PublicationJournal of Cleaner Production
ISSN0959-6526
Volume220Pages:1167-1179
Abstract

Internet of Things (IoT) is an emerging technology for the smart city that interconnects various digital devices through Internet, hence, providing multiple innovative facilities from academia to industry and healthcare to business. Smart city is the ubiquitous and a paradigm shift which has revolutionized the entire landscape with the support of information and communication technology (ICT), sensor-enabled IoT devices. For the better and big picture of the entire scenarios with high visibility multimedia (i.e., video, audio, text, and images) transmission is the soul-concept in the smart world, but due to resource-constrained (power hungry and limited battery lifetime) nature of these tiny devices (which are building blocks of smart city) and voluminous amount of the data it is very challenging to openly talk about the sustainable and Green smart city platform. Thus, to remedy these problems two Hybrid Adaptive Bandwidth and Power Algorithm (HABPA), and Delay-tolerant Streaming Algorithm (DSA) are proposed by adopting stored video stream titled, StarWarsIV. Besides, a novel architecture of smart city system is proposed. Experimental results are obtained and analyzed in terms of performance metrics i.e., power drain, battery lifetime, delay, standard deviation and packet loss ratio (PLR) in association to the buffer size. It is concluded that the HABPA (45%,37%,20 ms) significantly optimizes power drain, battery lifetime (37%), standard deviation (3.5 dB), PLR (4.5%) of the IoT-enabled devices with less delay than DSA (43%, 32%,25 ms, 5 dB, 5.75%) and Baseline (42%,28%, 30 ms, 6 dB, 6.53%) respectively during media transmission in smart city.

KeywordDSA HABPA Information and communication technology Internet of things Smart city Sustainable and Green
DOI10.1016/j.jclepro.2019.01.188
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000465509400098
Scopus ID2-s2.0-85062711903
Citation statistics
Cited Times:116[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6892
CollectionResearch outside affiliated institution
Corresponding AuthorLuo, Zongwei
Affiliation
1.Sukkur IBA University,Sukkur,65200,Pakistan
2.IDA-Computer and Information Science Department,Linkoping University,Linkoping,58183,Sweden
3.Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen,518055,China
4.Shenzhen Key Laboratory of Computational Intelligence,Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
5.University of Fortaleza,Brazil
Recommended Citation
GB/T 7714
Sodhro, Ali Hassan,Pirbhulal, Sandeep,Luo, Zongweiet al. Towards an optimal resource management for IoT based Green and sustainable smart cities[J]. Journal of Cleaner Production, 2019, 220: 1167-1179.
APA Sodhro, Ali Hassan, Pirbhulal, Sandeep, Luo, Zongwei, & de Albuquerque, Victor Hugo C. (2019). Towards an optimal resource management for IoT based Green and sustainable smart cities. Journal of Cleaner Production, 220, 1167-1179.
MLA Sodhro, Ali Hassan,et al."Towards an optimal resource management for IoT based Green and sustainable smart cities". Journal of Cleaner Production 220(2019): 1167-1179.
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