DIVERSIFICATION OF IoT- A SURVEY
DOI:
https://doi.org/10.61841/qg9yj345Keywords:
Artificial Intelligence (AI), Internet Of Things (IoT), Wireless Sensor Networks (WSN)Abstract
The manner in which the world behaviors organizations is changing at a quick pace. The world has jumped from a period of conventional promoting, advertising, and deals to a time where pretty much every advanced information that today is fueled by huge information. The most significant fixing today is information and keeping in mind that the challenge of who controls the majority of the world's information appears to have been won by the GAFAs (Google, Amazon, Facebook, and Apple) and their preferences, which consolidated is pushing out at a disturbing rate. Over the coming years, the serious idea of the business will vigorously rely upon the continuous information investigation and ability to anticipate future results, and pattern even by a small amount of minutes may very well be the separating factor that empowers them to increase upper hand. So as to repair the framework to adjust to a continuous situation, IoT enables a great deal by getting fixed to up with different areas.
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References
1. Mäki P, Rauti S, Hosseinzadeh S, Koivunen L, Leppänen V. Interface diversification in IoT operating systems. InProceedings of the 9th International Conference on Utility and Cloud Computing 2016 Dec 6 (pp. 304-309).
2. Chiang M., Zhang T. Fog, and IoT: An overview of research opportunities. IEEE Internet of Things Journal. 2016 Jun 23;3(6):854-64.
3. Shah R, Chircu A. IOT AND AI IN HEALTHCARE: A SYSTEMATIC LITERATURE REVIEW. Issues
in Information Systems. 2018 Jul 1;19(3).
4. Tzafestas SG. Synergy of IoT and AI in modern society: The robotics and automation case. Robot. Autom. Eng. J. 2018;31:1-5.
5. Calo SB, Touna M, Verma DC, Cullen A. Edge computing architecture for applying AI to IoT. In2017
IEEE International Conference on Big Data (Big Data) 2017 Dec 11 (pp. 3012-3016). IEEE.
6. De Francisci Morales G, Bifet A, Khan L, Gama J, Fan W. IoT big data stream mining. InProceedings of
the 22nd ACM SIGKDD international conference on knowledge discovery and data mining 2016 Aug 13
(pp. 2119-2120).
7. Plageras AP, Psannis KE, Stergiou C, Wang H, Gupta BB. Efficient IoT-based sensor BIG Data
collection-processing and analysis in smart buildings. Future Generation Computer Systems. 2018 May
1;82:349-57.
8. Novo O. Blockchain meets IoT: An architecture for scalable access management in IoT. IEEE Internet of
Things Journal. 2018 Mar 5;5(2):1184-95.
9. Dorri A, Kanhere SS, Jurdak R, Gauravaram P. Blockchain for IoT security and privacy: The case study
of a smart home. In 2017, IEEE international conference on pervasive computing and communications
workshops (PerCom workshops) 2017 Mar 13 (pp. 618-623). IEEE.
10. Khan MA, Salah K. IoT security: review, blockchain solutions, and open challenges. Future Generation
Computer Systems. 2018 May 1;82:395-411.
11. Lu R, Heung K, Lashkari AH, Ghorbani AA. A lightweight privacy-preserving data aggregation scheme
for fog computing-enhanced IoT. IEEE Access. 2017 Mar 2;5:3302-12.
12. Yassine A, Singh S, Hossain MS, Muhammad G. IoT big data analytics for smart homes with fog and
cloud computing. Future Generation Computer Systems. 2019 Feb 1;91:563-73.
13. Muangprathub J, Boonnam N, Kajornkasirat S, Lekbangpong N, Wanichsombat A, Nillaor P. IoT and
agriculture data analysis for smart farms. Computers and electronics in agriculture. 2019 Jan 1;156:467-
74.
14. Mohammadi M, Al-Fuqaha A, Sorour S, Guizani M. Deep learning for IoT big data and streaming
analytics: A survey. IEEE Communications Surveys & Tutorials. 2018 Jun 6;20(4):2923-60.
15. Stergiou C, Psannis KE, Kim BG, Gupta B. Secure integration of IoT and cloud computing. Future
Generation Computer Systems. 2018 Jan 1;78:964-75.
16. Kanawaday A, Sane A. Machine learning for predictive maintenance of industrial machines using IoT
sensor data. In 2017, 8th IEEE International Conference on Software Engineering and Service Science
(ICSESS) 2017 Nov 24 (pp. 87-90). IEEE.
17. Mahdavinejad MS, Rezvan M, Barekatain M, Adibi P, Barnaghi P, Sheth AP. Machine learning for
Internet of Things data analysis: A survey. Digital Communications and Networks. 2018 Aug 1;4(3):161-
75.
18. Xiao L, Wan X, Lu X, Zhang Y, Wu D. IoT security techniques based on machine learning: How do IoT
devices use AI to enhance security?. IEEE Signal Processing Magazine. 2018 Sep 3;35(5):41-9.
19. Ali S, Khan MA, Ahmad J, Malik AW, ur Rehman A. Detection and prevention of black hole attacks in IOT & WSN. In 2018: Third International Conference on Fog and Mobile Edge Computing (FMEC) 2018 Apr 23 (pp. 217-226). IEEE
20. Kumar A, Zhao M, Wong KJ, Guan YL, Chong PH. A comprehensive study of IoT and WSN Mac protocols: research issues, challenges, and opportunities. IEEE Access. 2018 Nov 26;6:76228-62.
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