Abstract

The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as well as E-waste in smart cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green IoT leads to an eco-friendly environment, which is more sustainable for smart cities. Therefore, it is essential to address the techniques and strategies for reducing pollution hazards, traffic waste, resource usage, energy consumption, providing public safety, life quality, and sustaining the environment and cost management. This survey focuses on providing a comprehensive review of the techniques and strategies for making cities smarter, sustainable, and eco-friendly. Furthermore, the survey focuses on IoT and its capabilities to merge into aspects of potential to address the needs of smart cities. Finally, we discuss challenges and opportunities for future research in smart city applications.

Details

Title
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Author
Almalki, Faris. A. 1 ; Alsamhi, S. H. 2   VIAFID ORCID Logo  ; Sahal, Radhya 3 ; Hassan, Jahan 4 ; Hawbani, Ammar 5 ; Rajput, N. S. 6 ; Saif, Abdu 7 ; Morgan, Jeff 8 ; Breslin, John 8 

 Taif University, Department of computer engineering, collage of computers and information technology, Taif, Kingdom of Saudi Arabia (GRID:grid.412895.3) (ISNI:0000 0004 0419 5255) 
 Athlone Institute of Technology, Athlone, Ireland (GRID:grid.513245.4); IBB University, Ibb, Yemen (GRID:grid.444909.4) 
 SMART 4.0 Fellow, CONFIRM Centre for Smart Manufacturing, University College, Cork, Ireland (GRID:grid.7872.a) (ISNI:0000000123318773); Hodeidah University, Faculty of Computer Science and Engineering, Al Hodeidah, Yemen (GRID:grid.444907.a) 
 School of Engineering and Technology, CQUniversity Australia, Rockhampton, Australia (GRID:grid.1023.0) (ISNI:0000 0001 2193 0854) 
 University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (GRID:grid.59053.3a) (ISNI:0000000121679639) 
 IIT (BHU), Department of Electronics Engineering, Varanasi, India (GRID:grid.467228.d) (ISNI:0000 0004 1806 4045) 
 University of Malaya, Department of Electrical Engineering, Faculty of Engineering, Kuala Lumpur, Malaysia (GRID:grid.10347.31) (ISNI:0000 0001 2308 5949) 
 National University of Ireland Galway, Galway, Ireland (GRID:grid.6142.1) (ISNI:0000 0004 0488 0789) 
Pages
178-202
Publication year
2023
Publication date
Feb 2023
Publisher
Springer Nature B.V.
ISSN
1383469X
e-ISSN
15728153
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2861995945
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.