Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Possibility of Using Existed WLAN Infrastructure as an Emergency Network for Air-to-Ground Transmissions: The Case of WebRTC-Based Flying IoT System Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Decision Making Under Uncertainty for the Deployment of Future Networks in IoT Scenarios

Authors : Néstor Alzate Mejía, Germán Santos Boada, José Roberto de Almeida Amazonas

Published in: Broadband Communications, Networks, and Systems

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The main characteristic of various emerging communication network paradigms in the dimensioning, control and deployment of future networks is the fact that they are human-centric, entailing closely-knit interactions between telematics and human activities. Considering the effect of user behavior, whose dynamics are difficult to model, new uncertainties are introduced in these systems, bringing about network resource management challenges. Within this context, this study seeks to review different decision-making computational methods in conditions of uncertainty for Internet of Things scenarios such as smart spaces, and industry 4.0, through a systematic literature review. According to our research results, a new paradigm for computationally capturing and modeling human behavior context must be developed with the purpose of improving resource management.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter Comparison of Efficient Planning and Optimization Methods of Last Mile Delivery Resources
next chapter An Initial Approach to a Multi-access Edge Computing Reference Architecture Implementation Using Kubernetes
Literature
1.
Almeida, A.T.d., Morais, D.C., Alencar, L.H., Clemente, T.R.N., Krym, E.M., Barboza, C.Z.: A multicriteria decision model for technology readiness assessment for energy based on PROMETHEE method with surrogate weights. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 64–68 (2014)
2.
Asadabadi, M.R.: The stratified multi-criteria decision-making method. Knowl.-Based Syst. 162, 115–123 (2018)CrossRef
3.
Ashton K.: That ‘Internet of Things’ thing in the real world, things matter more than ideas. RFID J. (2009)
4.
Cables, E., Lamata, M., Verdegay, J.: RIM-reference ideal method in multicriteria decision making. Inf. Sci. 337–338, 1–10 (2016)CrossRef
5.
6.
Cearley, D., Burke, B., Furlonger, D., Kandaswamy, R., Litan, A.: Top 10 Strategic Technology Trends for 2019. Technical report, March 2019, Gartner (2019)
7.
Chahuara, P., Portet, F., Vacher, M.: Context-aware decision making under uncertainty for voice-based control of smart home. Expert Syst. Appl. 75, 63–79 (2017)CrossRef
8.
Chen, S.M., Cheng, S.H., Lan, T.C.: A new multicriteria decision making method based on the topsis method and similarity measures between intuitionistic fuzzy sets. In: 2016 International Conference on Machine Learning and Cybernetics (ICMLC), vol. 2, pp. 692–696. IEEE, July 2016
9.
Conti, M., Passarella, A., Das, S.K.: The Internet of People (IoP): a new wave in pervasive mobile computing. Pervasive Mob. Comput. 41, 1–27 (2017)CrossRef
10.
Dammak, F., Baccour, L., Ayed, A.B., Alimi, A.M.: ELECTRE method using interval-valued intuitionistic fuzzy sets and possibility theory for multi-criteria decision making problem resolution. In: IEEE International Conference on Fuzzy Systems, pp. 1–6. IEEE, July 2017
11.
Dix, A.: Human-computer interaction, foundations and new paradigms. J. Vis. Lang. Comput. 42, 122–134 (2016)CrossRef
12.
Fei, X., et al.: CPS data streams analytics based on machine learning for cloud and fog computing: a survey. Future Gen. Comput. Syst. 90, 435–450 (2019)CrossRef
13.
Ferrara, M., Rasouli, S., Khademi, M., Salimi, M.: A robust optimization model for a decision-making problem: an application for stock market. Oper. Res. Perspect. 4, 136–141 (2017)MathSciNet
14.
Fraile, F., Flores, J.L., Poler, R., Saiz, E.: Software-defined networking to improve cybersecurity in manufacturing oriented interoperability ecosystems. In: Popplewell, K., Thoben, K.-D., Knothe, T., Poler, R. (eds.) Enterprise Interoperability VIII. PIC, vol. 9, pp. 31–41. Springer, Cham (2019). https://​doi.​org/​10.​1007/​978-3-030-13693-2_​3CrossRef
15.
Gervasio, H., Da Silva, L.S.: A probabilistic decision-making approach for the sustainable assessment of infrastructures. Expert Syst. Appl. 39(8), 7121–7131 (2012)CrossRef
16.
Jiang, W., Strufe, M., Schotten, H.D.: A SON decision-making framework for intelligent management in 5G mobile networks. In: 2017 3rd IEEE International Conference on Computer and Communications (ICCC), pp. 1158–1162. IEEE, December 2017
17.
Ken, S.A.F. et al.: RFID and the inclusive model for the Internet of Things (2009)
18.
Khezrimotlagh, D., Chen, Y.: Data envelopment analysis. In: International Series in Operations Research and Management Science, vol. 269, pp. 217–234. Springer, Dordrecht (2018)
19.
Kochenderfer, M.J., et al.: Decision Making Under Uncertainty: Theory and Application. MIT Lincoln Laboratory Series (2015)
20.
Kreutz, D., Ramos, F.M.V., Veríssimo, P.E., Rothenberg, C.E., Azodolmolky, S., Uhlig, S.: Software-defined networking: a comprehensive survey. Proc. IEEE 103(1), 14–76 (2015)CrossRef
21.
Kumar, G.: A multi-criteria decision making approach for recommending a product using sentiment analysis. In: 2018 12th International Conference on Research Challenges in Information Science (RCIS), pp. 1–6. IEEE, May 2018
22.
Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)CrossRef
23.
Ma, Y.W., Chen, Y.C., Chen, J.L.: SDN-enabled network virtualization for industry 4.0 based on IoTs and cloud computing. In: 2017 19th International Conference on Advanced Communication Technology (ICACT), pp. 199–202. IEEE (2017)
24.
Morente-Molinera, J.A., Kou, G., Samuylov, K., Ureña, R., Herrera-Viedma, E.: Carrying out consensual group decision making processes under social networks using sentiment analysis over comparative expressions. Knowl.-Based Syst. 165, 335–345 (2019)CrossRef
25.
Mousavi, S.M., Gitinavard, H., Siadat, A.: A new hesitant fuzzy analytical hierarchy process method for decision-making problems under uncertainty. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 622–626 (2014)
26.
Perçin, S.: Evaluating airline service quality using a combined fuzzy decision-making approach. J. Air Transp. Manag. 68, 48–60 (2018)CrossRef
27.
Qin, J., Liu, X., Pedrycz, W.: An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. Knowl.-Based Syst. 86, 116–130 (2015)CrossRef
28.
Chen, S., Liu, J., Wang, H., Augusto, J.C.: An evidential reasoning based approach for decision making with partially ordered preference under uncertainty. In: 2013 International Conference on Machine Learning and Cybernetics, vol. 04, pp. 1712–1717. IEEE, July 2013
29.
Smet, Y.D.: About the computation of robust PROMETHEE II rankings: empirical evidence. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1116–1120 (2016)
30.
Thames, L., Schaefer, D.: Software-defined cloud manufacturing for industry 4.0. Procedia CIRP 52, 12–17 (2016)CrossRef
31.
Wan, J., et al.: Software-defined industrial Internet of Things in the context of industry 4.0. IEEE Sens. J. 16(20), 1–1 (2016)CrossRef
32.
Wei, L., Yuan, Z., Yan, Y., Hou, J., Qin, T.: Evaluation of energy saving and emission reduction effect in thermal power plants based on entropy weight and PROMETHEE method. In: 2016 Chinese Control and Decision Conference (CCDC), pp. 143–146 (2016)
33.
Yu, B., Cai, M., Li, Q.: A \(\lambda \)-rough set model and its applications with TOPSIS method to decision making. Knowl.-Based Syst. 165, 420–431 (2019)CrossRef
34.
Zeng, P., Wang, Z., Jia, Z., Kong, L., Li, D., Jin, X.: Time-slotted software-defined industrial ethernet for real-time quality of service in industry 4.0. Future Gen. Comput. Syst. 99, 1–10 (2019)CrossRef
35.
Zhang, P., Yao, H., Qiu, C., Liu, Y.: Virtual network embedding using node multiple metrics based on simplified ELECTRE method. IEEE Access 6, 37314–37327 (2018)CrossRef
Metadata
Title
Decision Making Under Uncertainty for the Deployment of Future Networks in IoT Scenarios
Authors
Néstor Alzate Mejía
Germán Santos Boada
José Roberto de Almeida Amazonas
Copyright Year
2021
Book
Broadband Communications, Networks, and Systems

Print ISBN: 978-3-030-68736-6

Electronic ISBN: 978-3-030-68737-3

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-68737-3_12

Premium Partner

    Image Credits