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스마트시티 네트워크를 위한 새로운 기술 논문 초안 (A survey on emerging technologies for sustainable smart city network)

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2020.01.15
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2019.12
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"스마트시티 네트워크를 위한 새로운 기술 논문 초안 (A survey on emerging technologies for sustainable smart city network)"에 대한 내용입니다.

목차

1. Introduction
1.1 Motivation
1.2 Research methodology
1.3 Research contribution
1.4 Structure of the survey

2. Design Principles for Sustainable Smart City Network
2.1. Deployments of Smart City Applications
2.2. Characteristics and requirements for sustainable network

3. Security in Network Architecture
3.1 Centralized architecture
3.2 Decentralized architecture
3.3 Distributed architecture

4. Open Issues, Challenges, and Recommendations
4.1 Data Integration challenges
4.2 Security and Privacy
4.3 Application Building
4.4 Recommendation

5. Conclusion

References

본문내용

Smart City is emerging as a new alternative to solve various urban issues such as urban aging, traffic congestion, energy shortage, environmental pollution, and crime. Smart City is the key to discovering converged new industries that will dominate the 4th industrial revolution through Data, Network, Artificial Intelligence (AI). Recently, there has been an increase in the number of attempts to solve urban problems using network technology both domestically and internationally. The smart city market is emerging as an innovative growth engine centered on energy, transportation, and security by utilizing Information & Communication Technology (ICT) technology such as AI, Big Data, 5G, and Network. According to a UN report, population growth in urban areas is expected to reach 66% by 2050, with 70% of the world's resources consumed in cities [1]. Markets & Markets are expected to grow from $ 0.4 trillion in 2004 to $ 1.1 trillion in 2020, while Frost & Sullivan expects $ 1 trillion in 16 years and $ 1.5 trillion in 2020 [2].

참고 자료

UNPD. (2014). World urbanization prospects: the 2014 revision.
The 4th Industrial Revolution Committee and related ministries (2018), Smart City promotion strategy for urban innovation and future growth engine.
Grand view research. (2018). Smart Cities Market Size, Share & Trends Analysis Report By Application (Education, Governance, Buildings, Mobility, Healthcare, Utilities), By Component (Services, Solutions), And Segment Forecasts 2018 - 2025.
S. Korea Information Technology Agency, "ICT Promotion and Innovation Foundation Project (National Strategy for National Development Strategy of Knowledge and Information Society)
S. Pellicer et al., “A global perspective of smart cities: A survey,”in Proc. 7th Int. Conf. Innov. Mobile Internet Services Ubiquitous Comput., Taichung, Taiwan, Jul. 2013, pp. 439–444.
A. Zurborg, Unlocking Customer Value: The Virtual Power Plant, U.S. Dept. Energy, Washington, DC, USA, 2010
R. Van Brakel and P. De Hert, “Policing, surveillance and law in a pre-crime society: Understanding the consequences of technology-based strategies,” Technol. LED Policing, vol. 20, p. 165, Aug. 2011.
K. Finch and O. Tene, “Welcome to the metropticon: Protecting privacy in a hyper connected town,” Fordham Urb. LJ, vol. 41, no. 5, p. 1581, 2013.
G. Acampora, D. J. Cook, P. Rashidi, and A. V. Vasilakos, “A survey on ambient intelligence in healthcare,” Proc. IEEE, vol. 101, no. 12, pp. 2470–2494, Dec. 2013.
S. P. Mohanty, U. Choppali, and E. Kougianos, “Everything you wanted to know about smart cities: The Internet of Things is the backbone,” IEEE Consum. Electron. Mag., vol. 5, no. 3, pp. 60–70, Jul. 2016
C. K. Toh, Ad Hoc Mobile Wireless Networks: Protocols and Systems.London, U.K.: Pearson Educ., 2001.
Alaba, F. A., Othman, M., Hashem, I. A. T., & Alotaibi, F. (2017). Internet of Things security: A survey. Journal of Network and Computer Applications, 88, 10-28.
Fekih, A., Gaied, S., & Yousef, H. (2017, February). A comparative study of content-centric and software defined networks in smart cities. In Smart, Monitored and Controlled Cities (SM2C), 2017 International Conference on (pp. 147-151). IEEE.
Djahel, S., Doolan, R., Muntean, G. M., & Murphy, J. (2015). A communications-oriented perspective on traffic management systems for smart cities: Challenges and innovative approaches. IEEE Communications Surveys & Tutorials, 17.
Xu, J., Palanisamy, B., Ludwig, H., & Wang, Q. (2017, June). Zenith: Utility-aware resource allocation for edge computing. In Edge Computing (EDGE), 2017 IEEE International Conference on (pp. 47-54). IEEE.
Kim, N. Y., Ryu, J. H., Kwon, B. W., Pan, Y., & Park, J. H. (2018). CF-CloudOrch: container fog node-based cloud orchestration for IoT networks. The Journal of Supercomputing, 1-22.
17. Mohan, N., & Kangasharju, J. (2016, November). Edge-fog cloud: A distributed cloud for internet of things computations. In Cloudification of the Internet of Things (CIoT) (pp. 1-6). IEEE.
Chakrabarty, S., & Engels, D. W. (2016, January). A secure IoT architecture for Smart Cities. In Consumer Communications & Networking Conference (CCNC), 2016 13th IEEE Annual (pp. 812-813). IEEE.
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646.
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125-1142.
Sharma, P. K., Rathore, S., & Park, J. H. (2018). DistArch-SCNet: Blockchain-Based Distributed Architecture with Li-Fi Communication for a Scalable Smart City Network. IEEE Consumer Electronics Magazine, 7(4), 55-64.
Sharma, P. K., Chen, M. Y., & Park, J. H. (2018). A software defined fog node based distributed blockchain cloud architecture for IoT. IEEE Access, 6, 115-124.
Sharma, P. K., Singh, S., Jeong, Y. S., & Park, J. H. (2017). Distblocknet: A distributed blockchains-based secure sdn architecture for iot networks. IEEE Communications Magazine, 55(9), 78-85.
Arkian, H. R., Diyanat, A., & Pourkhalili, A. (2017). MIST: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications. Journal of Network and Computer Applications, 82, 152-165.
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