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Article

Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities

School of Engineering, Computer, and Mathematical Sciences, Auckland University of Technology, Auckland 1142, New Zealand
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Authors to whom correspondence should be addressed.
Academic Editor: Davide Tosi
Future Internet 2022, 14(2), 42; https://doi.org/10.3390/fi14020042
Received: 23 December 2021 / Revised: 20 January 2022 / Accepted: 20 January 2022 / Published: 26 January 2022
(This article belongs to the Special Issue Software Engineering and Data Science)
Smart cities use many smart devices to facilitate the well-being of society by different means. However, these smart devices create great challenges, such as energy consumption and carbon emissions. The proposed research lies in communication technologies to deal with big data-driven applications. Aiming at multiple sources of big data in a smart city, we propose a public transport-assisted data-dissemination system to utilize public transport as another communication medium, along with other networks, with the help of software-defined technology. Our main objective is to minimize energy consumption with the maximum delivery of data. A multi-attribute decision-making strategy is adopted for the selction of the best network among wired, wireless, and public transport networks, based upon users’ requirements and different services. Once public transport is selected as the best network, the Capacitated Vehicle Routing Problem (CVRP) will be implemented to offload data onto buses as per the maximum capacity of buses. For validation, the case of Auckland Transport is used to offload data onto buses for energy-efficient delay-tolerant data transmission. Experimental results show that buses can be utilized efficiently to deliver data as per their demands and consume 33% less energy in comparison to other networks. View Full-Text
Keywords: big data; delay-tolerant network (DTN); multi-attribute decision making; public transport; energy consumption big data; delay-tolerant network (DTN); multi-attribute decision making; public transport; energy consumption
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MDPI and ACS Style

Munjal, R.; Liu, W.; Li, X.; Gutierrez, J.; Chong, P.H.J. Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities. Future Internet 2022, 14, 42. https://doi.org/10.3390/fi14020042

AMA Style

Munjal R, Liu W, Li X, Gutierrez J, Chong PHJ. Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities. Future Internet. 2022; 14(2):42. https://doi.org/10.3390/fi14020042

Chicago/Turabian Style

Munjal, Rashmi, William Liu, Xuejun Li, Jairo Gutierrez, and Peter H.J. Chong. 2022. "Multi-Attribute Decision Making for Energy-Efficient Public Transport Network Selection in Smart Cities" Future Internet 14, no. 2: 42. https://doi.org/10.3390/fi14020042

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