Skip to main content
Erschienen in: Cluster Computing 1/2018

18.05.2017

Research on the Internet of Things and the development of smart city industry based on big data

verfasst von: Zhanyu Liu

Erschienen in: Cluster Computing | Ausgabe 1/2018

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Development of smart city and smart industry is a major concern in today’s world. By using the Internet of Things and big data analytics, can develop the smart city and smart industry. So a new approach called smart city industry based on big data (SCIB) is proposed. This helps to enhance the performance and to develop the smart city and smart industry even by using big data analytics. Here data are collected from the smart city and industrial appliances such as health care, education systems, congestion management and power grid. These data will be formed as a big data and that will be passed to data acquisition for digitalization. Further it will be stored with the help of cloud computing process. Now based on the application user’s requirement data processing, decision making and data transfer process will be done. In simulation section, it analyzes the performance and calculates the parameters such as delay, lifetime, failure rate, congestion rate and throughput to know the performance of the proposed approach. The proposed SCIB approach will help to increase the throughput and lifetime at the same time it reduces the delay, failure rate and congestion rate.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef
2.
Zurück zum Zitat Rathore, M.M., Ahmad, A., Paul, A., Rho, S.: Urban planning and building smart cities based on the internet of things using big data analytics. Comput. Netw. 101, 63–80 (2016)CrossRef Rathore, M.M., Ahmad, A., Paul, A., Rho, S.: Urban planning and building smart cities based on the internet of things using big data analytics. Comput. Netw. 101, 63–80 (2016)CrossRef
3.
Zurück zum Zitat Gómez Romero, C.D., Díaz Barriga, J.K., Rodríguez Molano, J.I.: International conference on data mining and big data. Big Data Meaning in the Architecture of IoT for Smart Cities, pp. 457–465. Springer, Cham (2016) Gómez Romero, C.D., Díaz Barriga, J.K., Rodríguez Molano, J.I.: International conference on data mining and big data. Big Data Meaning in the Architecture of IoT for Smart Cities, pp. 457–465. Springer, Cham (2016)
4.
Zurück zum Zitat Al-Khatib, I.A., Monou, M., Abu Zahra, A.S.F, Shaheen, H.Q., Kassinos, D.: Solid waste characterization, quantification and management practices in developing countries. A case study: Nablus district—Palestine. J. Environ. Manage. 91(5), 1131–1138 (2010) Al-Khatib, I.A., Monou, M., Abu Zahra, A.S.F, Shaheen, H.Q., Kassinos, D.: Solid waste characterization, quantification and management practices in developing countries. A case study: Nablus district—Palestine. J. Environ. Manage. 91(5), 1131–1138 (2010)
5.
Zurück zum Zitat Chen, M., Ma, Y., Song, J., Lai, C.-F., Bin, H.: Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mob. Netw. Appl. 21(5), 825–845 (2016)CrossRef Chen, M., Ma, Y., Song, J., Lai, C.-F., Bin, H.: Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mob. Netw. Appl. 21(5), 825–845 (2016)CrossRef
6.
Zurück zum Zitat Cai, H., Xu, B., Jiang, L., Vasilakos, A.V.: IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. (2016). doi:10.1177/1550147716664248 Cai, H., Xu, B., Jiang, L., Vasilakos, A.V.: IoT-based big data storage systems in cloud computing: perspectives and challenges. IEEE Internet Things J. (2016). doi:10.​1177/​1550147716664248​
7.
Zurück zum Zitat Li, Y., Hu, C., Huang, C., Duan, L.: The concept of smart tourism in the context of tourism information services. Tour. Manag. 58, 293–300 (2016)CrossRef Li, Y., Hu, C., Huang, C., Duan, L.: The concept of smart tourism in the context of tourism information services. Tour. Manag. 58, 293–300 (2016)CrossRef
8.
Zurück zum Zitat Botta, A., de Donato, W., Persico, V., Pescapé, A.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst. 56, 684–700 (2016)CrossRef Botta, A., de Donato, W., Persico, V., Pescapé, A.: Integration of cloud computing and internet of things: a survey. Future Gener. Comput. Syst. 56, 684–700 (2016)CrossRef
9.
Zurück zum Zitat Lytras, M.D., Raghavan, V., Damiani, E.: Big data and data analytics research: from metaphors to value space for collective wisdom in human decision making and smart machines. Int. J. Semant. Web Inf. Syst. 13(1), 1–10 (2017)CrossRef Lytras, M.D., Raghavan, V., Damiani, E.: Big data and data analytics research: from metaphors to value space for collective wisdom in human decision making and smart machines. Int. J. Semant. Web Inf. Syst. 13(1), 1–10 (2017)CrossRef
10.
Zurück zum Zitat Georgakopoulos, D., Jayaraman, P.P.: Internet of things: from internet scale sensing to smart services. Computing 98(10), 1041–1058 (2016)MathSciNetCrossRef Georgakopoulos, D., Jayaraman, P.P.: Internet of things: from internet scale sensing to smart services. Computing 98(10), 1041–1058 (2016)MathSciNetCrossRef
11.
Zurück zum Zitat Riggins, F.J., Wamba, S.F.: Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 1531–1540. IEEE (2015) Riggins, F.J., Wamba, S.F.: Research directions on the adoption, usage, and impact of the internet of things through the use of big data analytics. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 1531–1540. IEEE (2015)
12.
Zurück zum Zitat Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef Ahmed, E., Yaqoob, I., Gani, A., Imran, M., Guizani, M.: Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges. IEEE Wirel. Commun. 23(5), 10–16 (2016)CrossRef
13.
Zurück zum Zitat Perera, C., Ranjan, R., Wang, L., Khan, S.U., Zomaya, A.Y.: Big data privacy in the internet of things era. IT Prof. 17(3), 32–39 (2015)CrossRef Perera, C., Ranjan, R., Wang, L., Khan, S.U., Zomaya, A.Y.: Big data privacy in the internet of things era. IT Prof. 17(3), 32–39 (2015)CrossRef
14.
Zurück zum Zitat Perera, C., Liu, C.H., Jayawardena, S.: The emerging internet of things marketplace from an industrial perspective: a survey. IEEE Trans. Emerg. Top. Comput. 3(4), 585–598 (2015)CrossRef Perera, C., Liu, C.H., Jayawardena, S.: The emerging internet of things marketplace from an industrial perspective: a survey. IEEE Trans. Emerg. Top. Comput. 3(4), 585–598 (2015)CrossRef
15.
Zurück zum Zitat Petrolo, R., Loscrì, V., Mitton, N.: Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms. Trans. Emerg. Telecommun. Technol. 28, e2931 (2015)CrossRef Petrolo, R., Loscrì, V., Mitton, N.: Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms. Trans. Emerg. Telecommun. Technol. 28, e2931 (2015)CrossRef
16.
Zurück zum Zitat Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRef Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRef
17.
Zurück zum Zitat Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)CrossRef Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)CrossRef
18.
Zurück zum Zitat Vilajosana, I., Llosa, J., Martinez, B., Domingo-Prieto, M., Angles, A., Vilajosana, X.: Bootstrapping smart cities through a self-sustainable model based on big data flows. IEEE Commun. Mag. 51(6), 128–134 (2013)CrossRef Vilajosana, I., Llosa, J., Martinez, B., Domingo-Prieto, M., Angles, A., Vilajosana, X.: Bootstrapping smart cities through a self-sustainable model based on big data flows. IEEE Commun. Mag. 51(6), 128–134 (2013)CrossRef
19.
Zurück zum Zitat Stankovic, J.A.: Research directions for the internet of things. IEEE Internet Things J. 1(1), 3–9 (2014)CrossRef Stankovic, J.A.: Research directions for the internet of things. IEEE Internet Things J. 1(1), 3–9 (2014)CrossRef
20.
Zurück zum Zitat Perera, C., ArkadyZaslavsky, P.C., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)CrossRef Perera, C., ArkadyZaslavsky, P.C., Georgakopoulos, D.: Sensing as a service model for smart cities supported by internet of things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)CrossRef
21.
Zurück zum Zitat Aliahmadipour, L., Torra, V., Eslami, E.: On hesitant fuzzy clustering and clustering of hesitant fuzzy data. In: Fuzzy Sets, Rough Sets, Multisets and Clustering, pp. 157–168. Springer, New York (2017) Aliahmadipour, L., Torra, V., Eslami, E.: On hesitant fuzzy clustering and clustering of hesitant fuzzy data. In: Fuzzy Sets, Rough Sets, Multisets and Clustering, pp. 157–168. Springer, New York (2017)
22.
Zurück zum Zitat Hasenstab, K., et al.: Robust functional clustering of ERP data with application to a study of implicit learning in autism. Biostatistics 17, 484–498 (2016)MathSciNetCrossRef Hasenstab, K., et al.: Robust functional clustering of ERP data with application to a study of implicit learning in autism. Biostatistics 17, 484–498 (2016)MathSciNetCrossRef
23.
Zurück zum Zitat Du, J., He, R., Sugumaran, V.: Clustering and ontology-based information integration framework for surface subsidence risk mitigation in underground tunnels. Cluster Comput. 19(4), 2001–2014 (2016)CrossRef Du, J., He, R., Sugumaran, V.: Clustering and ontology-based information integration framework for surface subsidence risk mitigation in underground tunnels. Cluster Comput. 19(4), 2001–2014 (2016)CrossRef
24.
Zurück zum Zitat Bi, C., Wang, H., Bao, R.: SAR image change detection using regularized dictionary learning and fuzzy clustering. In: 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE (2014) Bi, C., Wang, H., Bao, R.: SAR image change detection using regularized dictionary learning and fuzzy clustering. In: 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE (2014)
25.
Zurück zum Zitat Fu, X., Niu, Z., Yeh, M.-K.: Research trends in sustainable operation: a bibliographic coupling clustering analysis from 1988 to 2016. Cluster Comput. 19(4), 2211–2223 (2016)CrossRef Fu, X., Niu, Z., Yeh, M.-K.: Research trends in sustainable operation: a bibliographic coupling clustering analysis from 1988 to 2016. Cluster Comput. 19(4), 2211–2223 (2016)CrossRef
26.
Zurück zum Zitat Wang, H., Wang, J.: An effective image representation method using kernel classification. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE (2014) Wang, H., Wang, J.: An effective image representation method using kernel classification. In: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE (2014)
27.
Zurück zum Zitat Xu, L., Zheng, S., Jia, J.: Unnatural l0 sparse representation for natural image deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2013) Xu, L., Zheng, S., Jia, J.: Unnatural l0 sparse representation for natural image deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2013)
28.
Zurück zum Zitat Yang, M., et al.: Sparse representation based fisher discrimination dictionary learning for image classification. Int. J. Comput. Vis. 109(3), 209–232 (2014)MathSciNetCrossRefMATH Yang, M., et al.: Sparse representation based fisher discrimination dictionary learning for image classification. Int. J. Comput. Vis. 109(3), 209–232 (2014)MathSciNetCrossRefMATH
29.
Zurück zum Zitat Zhang, S., Wang, H., Huang, W.: Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification. Cluster Comput. (2017). doi:10.1007/s10586-017-0859-7 Zhang, S., Wang, H., Huang, W.: Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification. Cluster Comput. (2017). doi:10.​1007/​s10586-017-0859-7
30.
Zurück zum Zitat Xie, Y., et al.: Discriminative subspace learning with sparse representation view-based model for robust visual tracking. Pattern Recogn. 47(3), 1383–1394 (2014)CrossRefMATH Xie, Y., et al.: Discriminative subspace learning with sparse representation view-based model for robust visual tracking. Pattern Recogn. 47(3), 1383–1394 (2014)CrossRefMATH
Metadaten
Titel
Research on the Internet of Things and the development of smart city industry based on big data
verfasst von
Zhanyu Liu
Publikationsdatum
18.05.2017
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 1/2018
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0910-8

Weitere Artikel der Ausgabe 1/2018

Cluster Computing 1/2018 Zur Ausgabe