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2021 | OriginalPaper | Chapter

Smart Environments Concepts, Applications, and Challenges

Authors : Doaa Mohey El-Din, Aboul Ella Hassanein, Ehab E. Hassanien

Published in: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Publisher: Springer International Publishing

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Abstract

This chapter presents the clear definition of a smart environment, its advantages, previous motivations in various applications, and open research challenges. These challenges are classified into two parts, artificial intelligence, and internet-of-things. They are powerful for researchers and students to select a research topic. This chapter also removes the blurred idea of a smart environment that is limited to the vision of a smart environment definition just interprets with the internet-of-things. It presents the importance of recently used smart environments such as smart homes, smart farming, smart city, smart education, or smart factory. The recent statistics refer to the predication of used smart devices for constructing the smart environments that reach to nine double of a population around a world by 2025. This chapter presents a proposed criterion of building a good smart environment for any domain with respect to two dimensions data and security.

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Bessis, N., Dobre, C.: Big Data and Internet of Things: A Roadmap for Smart Environments. Studies in Componential İntelligence, vol. 546. Springer (2014)

Alberti, A.M., et al.: Platforms for smart environments and future ınternet design: a survey. IEEE Access 4, 1–33 (2016)CrossRef

Cook, D., Das, S.K.: Smart Environments: Technology, Protocols, and Applications. Wiley Series on Parallel and Distributed Computing (2005)

Alberti, A.M., et al.: Platforms for smart environments and future internet design: a survey. IEEE Access 7, 165748–165778 (2019)CrossRef

Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative systems for smart environments: trends and challenges. In: PRO-VE 2014: Collaborative Systems for Smart Networked Environments, pp. 3–15 (2014)

Shahrestani, S.: İnternet-of-Things and Smart Environments. Assistive Technologies for Disability, Dementia, and Aging. Springer (2017)

Atziori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRef

Bhayani, M., Patel, M., Bhatt, C.: Internet of things (IoT): ın a way of smart world. In: Proceedings of the International Congress on Information and Communication Technology, Advances in İntelligent Systems and computing Book Series, vol. 438, pp. 343–350 (2016)

Ahmed, E., et al.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef

10.

Chin, J., Callaghan, V., Allouch, S.B.: The Internet-of-Things: reflections on the past, present and future from a user-centered and smart environment perspective. J. Ambient Intell. Smart Environ. 11, 45–69 (2019)CrossRef

11.

Naik, P.: Importance of artificial intelligence with their wider application and technologies in present trends. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. (IJSRCSEIT) 1(3), 1–9 (2016)

12.

Kibria, M.G., et al.: Big data analytics and artificial intelligence in next-generation wireless networks. arXiv:1711.10089v3 [cs.IT] (2018)

13.

Vimal Jerald, A., Rabara, S.A., Bai, T.D.P.: Internet of Things (IoT) based smart environment integrating various business applications. Int. J. Comput. Appl. 128(8), 0975–8887 (2015)

14.

Ephzibah, E.P., Dharinya, S.S., Remya, L.: Decision making models through AI for Internet of Things. In: Internet of Things for Industry 4.0, pp. 57–72 (2019)

15.

Rebort: IoT for Smart Living Environments, Alliance for Internet of Things Innovation (AIOTI) (2019)

16.

Sotala, K.: Advantages of artificial intelligences, uploads, and digital minds. Int. J. Mach. Conscious. 4(1), 275–291 (2012)CrossRef

17.

Chowdhury, M., Sadek, A.W.: Advantages and limitations of artificial intelligence. In: Artificial Intelligence Applications of Critical Transportation Issues: Why Artificial Intelligence? The National Academies Press (2012)

18.

Hemlata, P.G.: Big Data analytics, research. J. Comput. Inf. Technol. Sci. 4(2), 1–4 (2016)

19.

Ghasempour, A.: Internet of Things in smart grid: architecture. Appl. Serv. Key Technol. Chall. Inventions 4(22), 1–12 (2019)

20.

Jaradat, M., Jarrah, M., Bousselham, A., Jararweh, Y., Al-Ayyoub, M.: The internet of energy: smart sensor networks and big data management for smart grid. In: The International Workshop on Networking Algorithms and Technologies for IoT (NAT-IoT 2015), vol. 56, pp. 592–597 (2015)

21.

Li, Y., et al.: Smart choice for the smart grid: narrowband: internet of things (NB-IoT). IEEE Internet Things J. 2327–4662 (2017)

22.

Wang, Q., Lewandowski, S.: Examining whether smart meters have been used smartly: a case study of residential electricity customers in Vermont. Int. J. Sustainable Green Energy 6(5), 76–83 (2017)CrossRef

23.

Ayaz, M.: Internet-of-Things (IoT) based smart agriculture: towards making the fields talk. IEEE Access, 1–34 (2019)

24.

N.Suma, et al.: IOT based smart agriculture monitoring system. Int. J. Recent Innov. Trends Comput. Commun. 5(2), 177–181 (2017)

25.

Gondchawar, N., Kawitkar, R.S.: IoT based smart agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 5(6), 838–842 (2016)

26.

Wolfert, S., et al.: Big data in smart farming – a review. Agric. Syst. 153, 69–80 (2017)CrossRef

27.

Adoghe, A.U., et al.: Smart weather station for rural agriculture using meteorological sensors and solar energy. In: Conference: 2017 IAENG WCE International Conference of Electrical and Electronics Engineering, vol.2017 (2017)

28.

Rasekh, A., et al.: Smart water networks and cyber security. J. Water Resour. Plann. Manage 142 (7), 1–3 (2016)

29.

Stojov, V., Koteli, N., Lameski, P., Zdravevski, E.: Application of machine learning and time-series analysis for air pollution prediction. In: 15th International Conference on Informatics and Information Technologies (CiiT) (2018)

30.

Devi, S., Neetha, T.: Machine learning based traffic congestion prediction in IoT based Smart City. Int. Res. J. Eng. Technol. (IRJET) 4(5), 3442–3445 (2017)

31.

Elleuch, W., Wali, A., Alimi, A.M.: Towards and efficient traffic congestion prediction method based on neural networks and big GPS data. IIUM Eng. J. 20(1), 108–118 (2019)CrossRef

32.

Karaduman, M., Eren, H.: Smart driving in smart city. In: 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG) (2017)

33.

Shruthi, M., Shreya, A., Sujay, M., Chaitanya, K.J.: IoT based smart car parking system. IJSART. 5(1), 270–272 (2019)

34.

Gazal, B., et al.: Smart traffic light control system. In: Third International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA) (2016)

35.

Thaar Kareem, T.A., Jabbar, M.K.: Design and implementation smart traffic light. Iraqi J. Comput. Inform. 44(2), 1–5 (2018)

36.

Galletta, A., Carnevale, L., Bramanti, A., Fazio, M.: An innovative methodology for Big Data Visualization for telemedicine. IEEE Trans. Ind. Inform. 15, 490–497 (2018)CrossRef

37.

Radovic, M., Ghalwash, M., Filipovic, N., Obradovic, Z.: Minimum redundancy maximum relevance feature selection approach for temporal gene expression data. BMC Bioinform. 18(9), 1–14 (2017)

38.

Kuang, S., Davison, B.D.: Learning word embeddings with chi-square weights for healthcare tweet classification. Appl. Sci. 7, 846 (2017)CrossRef

39.

Khoie, M.R., Sattari Tabrizi, T., Khorasani, E.S., Rahimi, S., Marhamati, N.: A hospital recommendation system based on patient satisfaction survey. Appl. Sci. 7, 966 (2017)CrossRef

40.

Dziak, D., Jachimczyk, B., Kulesza, W.J.: IoT-based ınformation system for healthcare application: design methodology approach. Appl. Sci. 7, 596 (2017)CrossRef

41.

Sundaravdivel, P., et al.: Everything you wanted to know about smart health care: evaluating the different technologies and components of the ınternet of things for better health. IEEE Consum. Electron. Mag. 7(1), 18–28 (2018)CrossRef

42.

Governament of Abu Dhabi: The Abu Dhabi economic vision 2030. Abu Dhabi: Abu Dhabi Council for Economic Development and others (2008)

43.

Lee, J.H., Hancock, M.: Toward a framework for smart cities: a comparison of Seoul. Research Chapter. Yonsei University and Stanford University, San Francisco (2012)

44.

Marsal-Llacuna, M.L., Colomer-Llinàs, J., Meléndez-Frigola, J.: Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative, Technological Forecasting and Social Change (2014)

45.

Zygiaris, S.: Smart city reference model: assisting planners to conceptualize the building of smart city ınnovation ecosystems. J. Knowl. Econ. 4(2), 217–231 (2013)CrossRef

46.

Koo, C., et al.: Conceptualization of smart tourism destination competitiveness. Asia Pac. J. Inf. Syst. 26(4), 367–384 (2016)

47.

Salah, A.M., Lela, M., Al-Zubaidy, S.: Smart education environment system. GESJ: Comput. Sci. Telecommun. 4(44), 21–26 (2014)

48.

Abba, S., Beauty, P.: Smart framework for environmental pollution monitoring and control system using IoT-based technology. Sens. Transducers 229(1), 93 (2019)

49.

Perego, P., Moltani, A., Andreoni, G.: Sport monitoring with Smart Wearable System (2012)

50.

Jokic, P., Magno, M.: Powering smart wearable systems with flexible solar energy harvesting. In: IEEE International Symposium on Circuits and Systems (ISCAS) (2017)

51.

Lee, H.K., Kim, T.: Prototype of IoT enabled smart factory. ICIC Int. 7(4), 955–960 (2016)

52.

Shouran, Z., Ashari, A., Priyambodo, T.: Internet of Things (IoT) of smart home: privacy and security. Int. J. Comput. Appl. 182(39), 0975–8887 (2019)

53.

Kodali, R.K., Jain, V., Bose, S., Boppana, L.: IoT based smart security and home automation system. In: International Conference on Computing, Communication and Automation (ICCCA) (2016)

54.

Malche, T., Maheshwary, P.: Internet of Things (IoT) for building smart home system. In: International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2017)

55.

Hsu, Y.-L., et al.: Design and ımplementation of a smart home system using multi-sensor data fusion technology. Sensors 17, 1–21 (2017)CrossRef

56.

Rihai, Y.: Big data and big data analytics: concepts. Types Technol. Int. J. Res. Eng. 5(9), 524–528 (2018)

57.

Ajah, I.A., Nweke, H.F.: Big data and business analytics: trends, platforms, success factors and applications. Big Data Cogn. Comput. 3, 32 (2019)

58.

Alsharif, M.H., Kelechi, A.H., Yahya, K., Chaudhry, S.A.: Machine learning algorithms for smart data analysis in ınternet of things environment: taxonomies and research trends. Symmetry 12(1), 88 (2020)CrossRef

59.

Zimek, A., Schubert, E., Kriegel, H.P.: A survey on unsupervised outlier detection in high-dimensional numerical data. Stat. Anal. Data Min. 5(5), 363–387 (2012)MathSciNetCrossRef

60.

Wang, J., et al.: A survey on data cleaning methods in cyberspace. In: IEEE Second International Conference on Data Science in Cyberspace (DSC) (2017)

61.

El Faouzi, N.-E., Klein, L.A.: Data fusion for ITS: techniques and research needs. Transp. Res. Procedia 15, 495–512 (2016)CrossRef

62.

Andò, B., Baglio, S.: A multisensor data-fusion approach for ADL and fall classification. IEEE Trans. Instrum. Measur. 65, 1960–1967 (2016)CrossRef

63.

Khalifa, N.E.M., et al.: Deep Iris: deep learning for gender classification through ıris patterns. Acta Inform. Med. 27(2), 96–102 (2019)CrossRef

64.

Zheng, J.G.: Data visualization for business intelligence. In Global Business Intelligence, Chap. 6. Taylor & Francis (2017)

65.

El-Din, D.M., Hassanien, A.E. and Hassanien, E.E.: Information ıntegrity for multi-sensors data fusion in smart mobility. In: Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications (2020)

66.

Deogirikar, J., Vidhate, A.: Security attacks in IoT: a survey. In: International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (2017)

67.

Bendovschi, A.: Cyber-attacks – trends, patterns and security countermeasures. Procedia Econ. Finan. 28, 24–31 (2015)CrossRef

68.

Oladimeji Biodun, S., Chukwudebe, G., Agbakwuru, A.O., Efe, O.C.: Comparative study of multi-factor authentication systems. İnt. J. Adv. Res. Sci. Eng. Technol. 6(4), 8785–8791(2019)

69.

Dutta, D., et al.: Social İnternet of Things (SIoT): transforming smart object to social object. In: Conference NCMAC (2015)

70.

Atzori, L., et al.: The social Internet of Things (SIoT) – when social networks meet the Internet of Things: concept, architecture and network characterization. Comput. Netw. 56(16), 3594–3608 (2012)CrossRef

Title: Smart Environments Concepts, Applications, and Challenges
Authors: Doaa Mohey El-Din
Aboul Ella Hassanein
Ehab E. Hassanien
Publisher: Springer International Publishing
Book: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Print ISBN: 978-3-030-59337-7

Electronic ISBN: 978-3-030-59338-4

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-59338-4_24

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