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题名Towards an optimal resource management for IoT based Green and sustainable smart cities
作者
发表日期2019-05-20
发表期刊Journal of Cleaner Production
ISSN/eISSN0959-6526
卷号220页码:1167-1179
摘要

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.

关键词DSA HABPA Information and communication technology Internet of things Smart city Sustainable and Green
DOI10.1016/j.jclepro.2019.01.188
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收录类别SCIE
语种英语English
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号WOS:000465509400098
Scopus入藏号2-s2.0-85062711903
引用统计
被引频次:118[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6892
专题个人在本单位外知识产出
通讯作者Luo, Zongwei
作者单位
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
推荐引用方式
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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