Towards an optimal resource management for IoT based Green and sustainable smart cities

Sodhro, Ali Hassan1,2; Pirbhulal, Sandeep3; Luo, Zongwei4; de Albuquerque, Victor Hugo C.5

2019-05-20

10.1016/j.jclepro.2019.01.188

Journal of Cleaner Production   影响因子和分区

0959-6526

1879-1786

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. (C) 2019 Elsevier Ltd. All rights reserved.

Smart city Internet of things Information and communication technology Sustainable and Green HABPA DSA

SCI ; EI

英语

通讯

Brazilian National Council for Research and Development (CNPq)[304315/2017-6]

Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology

Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences

WOS:000465509400098

ELSEVIER SCI LTD

20191106626133

Digital devices ; Electric batteries ; Multimedia systems ; Smart city ; Statistics

Electric Batteries:702.1 ; Computer Software, Data Handling and Applications:723 ; Computer Applications:723.5 ; Mathematical Statistics:922.2

Web of Science

1.Sukkur IBA Univ, Sukkur 65200, Sindh, Pakistan
2.Linkoping Univ, IDA Comp & Informat Sci Dept, S-58183 Linkoping, Sweden
3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
4.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen Key Lab Computat Intelligence, Shenzhen 518055, Peoples R China
5.Univ Fortaleza, Fortaleza, Ceara, Brazil

Sodhro, Ali Hassan,Pirbhulal, Sandeep,Luo, Zongwei,et al. Towards an optimal resource management for IoT based Green and sustainable smart cities[J]. Journal of Cleaner Production,2019,220:1167-1179.

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.

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.