The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities
Open accessAbstract
Smart cities contain intelligent things which can intelligently automatically and collaboratively enhance life quality, save people's lives, and act a sustainable resource ecosystem. To achieve these advanced collaborative technologies such as drones, robotics, artificial intelligence, and Internet of Things (IoT) are required to increase the smartness of smart cities by improving the connectivity, energy efficiency, and quality of services (QoS). Therefore, collaborative drones and IoT play a vital role in supporting a lot of smart-city applications such as those involved in communication, transportation, agriculture,safety and security, disaster mitigation, environmental protection, service delivery, energy saving, e-waste reduction, weather monitoring, healthcare, etc. This paper presents a survey of the potential techniques and applications of collaborative drones and IoT which have recently been proposed in order to increase the smartness of smart cities. It provides a comprehensive overview highlighting the recent and ongoing research on collaborative drone and IoT in improving the real-time application of smart cities. This survey is different from previous ones in term of breadth, scope, and focus. In particular, we focus on the new concept of collaborative drones and IoT for improving smart-city applications. This survey attempts to show how collaborative drones and IoT improve the smartness of smart cities based on data collection, privacy and security, public safety, disaster management, energy consumption and quality of life in smart cities. It mainly focuses on the measurement of the smartness of smart cities, i.e., environmental aspects, life quality, public safety, and disaster management.
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Cites
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Cited by
IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review
Ghazal, T. M., Hasan, M. K., Alshurideh, M. T., Alzoubi, H. M., Ahmad, M., Akbar, S. S., Al Kurdi, B., & Akour, I. A. (2021) · Future Internet · doi:10.3390/fi13080218 · Cited by 674
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Smart cities—a structured literature review
Gracias, J. S., Parnell, G. S., Specking, E., Pohl, E. A., & Buchanan, R. (2023) · Smart Cities · doi:10.3390/smartcities6040080 · Cited by 476
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Almalki, F. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J. (2023) · Mobile Networks and Applications · doi:10.1007/s11036-021-01790-w · Cited by 376
Self-citation
Metadata
- Authors
- Alsamhi, S. H., Ma, O., Ansari, M. S., & Almalki, F. A.
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 128125-128152
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2968041550
- Cited by
- 440
- References
- 11
- FWCI
- 37.52
- Type
- journal article
- Language
- en
- Open access
- gold
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