Abstract
Many big cities around the world are planning to adopt the smart city concept to enhance the quality of life for their residents. Smart cities rely on deploying different technologies and optimization techniques to improve the performance and services in transportation, energy, security, and other sectors and to reduce the costs and resources consumption. One of the promising technologies supporting smart city applications is the Cloud of Things (CoT). The CoT can provide a powerful platform for implementing and operating different types of smart city services. Another promising technology that can be used to support and in various cases enhance the CoT for smart cities is Fog Computing. Fog computing can provide platforms that operate geographically close to certain smart city areas to provide value-added features for smart city services. This paper discusses optimization applications and opportunities of using the CoT, supported by fog computing, for providing smart city services. We attempt to identify the requirements for implementing such services, and recognize the issues and challenges to be resolved to achieve better utilization of the CoT in optimizing smart city services.
Original language | English |
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Title of host publication | 2017 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509054541 |
DOIs | |
Publication status | Published - May 26 2017 |
Externally published | Yes |
Event | 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 - Sharjah, United Arab Emirates Duration: Apr 4 2017 → Apr 6 2017 |
Other
Other | 7th International Conference on Modeling, Simulation, and Applied Optimization, ICMSAO 2017 |
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Country/Territory | United Arab Emirates |
City | Sharjah |
Period | 4/4/17 → 4/6/17 |
Keywords
- Cloud of things
- Fog computing
- Optimization
- Smart cities
ASJC Scopus subject areas
- Computer Networks and Communications
- Applied Mathematics
- Control and Optimization
- Modelling and Simulation