Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Artificial Intelligence Techniques in Precision Marketing: A Multi-criteria Analysis and Comparative Study Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

Investigating IoT-Enabled 6G Communications: Opportunities and Challenges

verfasst von : Radia Belkeziz, Reda Chefira, Oumaima Tibssirte

Erschienen in: Computing, Internet of Things and Data Analytics

Verlag: Springer Nature Switzerland

Einloggen

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

search-config
loading …

Abstract

IoT has gained considerable momentum over the years. The development of standards and protocols has enabled the growth of huge and varied applications. Starting with an overview of the current landscape of IoT communication protocols, the study highlights the significance of protocols as a means of enabling seamless connectivity and data exchange between IoT devices. It then examines the opportunities and challenges of IoT-based 6G, featuring existing IoT communication and messaging protocols. Further, the paper dives into technologies and architectures that support IoT communication and messaging, while surveying Artificial Intelligence paradigms backing prospective applications. This investigation supplies a foundation for ongoing research and development designed not only to enhance IoT communication, but also to drive coverage and maximize the potential of IoT enabled applications across a range of industries.

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Vorheriges Kapitel Performance Measurement of Classification Algorithms for Aerial Image Registration
Nächstes Kapitel BlindEye: Blind Assistance Using Deep Learning
Literatur
1.
Hallberg, J., Nilsson, M., Synnes, K.: Positioning with Bluetooth. In: 10th International Conference on Telecommunications, vol. 2, pp. 954–958 (2003)
2.
Bisdikian, C.: An overview of the Bluetooth wireless technology. IEEE Commun. Mag. 39(12), 86–94 (2001)CrossRef
3.
Dragomir, D., Gheorghe, L., Costea, S., Radovici, A.: A Survey on Secure Communication Protocols for IoT Systems in International Workshop on Secure Internet of Things (SIoT), pp. 47–62 (2016)
4.
Gupta, C., Varshney, G.: An improved authentication scheme for BLE devices with no I/O capabilities. Comput. Commun. 200, 42–53 (2023)CrossRef
5.
Luo, R.: Literature Survey on the Performance of the ZigBee Standard. EE 359 Final Project (2015)
6.
Khattak, S.B.A., Nasralla, M.M., Farman, H., Choudhury, N.: Performance Evaluation of an IEEE 802.15. 4-Based Thread Network for Efficient Internet of Things Communications in Smart Cities. Applied Sciences 13(13), 7745 (2023)
7.
Marksteiner, S., Exposito Jimenez, V.J., Valiant, H., Zeiner, H.: An overview of wireless IoT protocol security in the smart home domain in Internet of Things Business Models, Users, and Networks, pp. 1–8 (2017)
8.
Salman, T., Jain, R.: Networking Protocols and Standards for Internet of Things in Internet of Things and Data Analytics Handbook, 215–238 (2016)
9.
Yassein, M.B., Mardini, W., Khalil, A.: Smart homes automation using Z-wave protocol in International Conference on Engineering & MIS, pp. 1–6 (2016)
10.
Coskun, V., Ozdenizci, B., Ok, K.: A Survey on Near Field Communication (NFC) Technology in Wireless Personal Communications 71, 2259–2294 (2013)
11.
Raso, E., Bianco, G.M., Bracciale, L., Marrocco, G., Occhiuzzi, C., Loreti, P.: Privacy-aware architectures for NFC and RFID sensors in healthcare applications. Sensors 22(24), 9692 (2022)CrossRef
12.
Mulligan, G.: The 6LoWPAN architecture in Proceedings of the 4th Workshop on Embedded Networked Sensors (2007)
13.
Ee, G.K., Ng, C.K, Noordin, N.K., Ali, B.M.: A Review of 6LoWPAN Routing Protocols in Proceedings of the Asia-Pacific Advanced Network 30(0), 71 (2010)
14.
Cameron, N.: LoRa and Microsatellites. In: ESP32 Formats and Communication: Application of Communication Protocols with ESP32 Microcontroller, pp. 267–291. Apress, Berkeley, CA (2023)CrossRef
15.
LR Alliance: A technical overview of LoRa and LoRaWAN in white paper, November (2015)
16.
Frantz, L.T., Carley, K.M.: A Formal Characterization of Cellular Networks in SSRN Electronic Journal (2005)
17.
Al-Sarawi, S., Anbar, M., Alieyan, K., Alzubaidi, M.: Internet of Things (IoT) communication protocols: Review in 8th International Conference on Information Technology, pp. 685–690 (2017)
18.
Naik, N.: Choice of effective messaging protocols for IoT systems: MQTT, CoAP, AMQP and HTTP in IEEE International Systems Engineering Symposium, pp. 1–7 (2017)
19.
Da Cruz, M.A.A., et al.: A Proposal for bridging application layer protocols to HTTP on IoT solutions in Future Generation Somputer Systems (2019)
20.
Ferraz Junior, N., Silva, A.A., Guelfi, A.E., Kofuji, S.T.: Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages. Journal of Cloud Computing 11(1), 1–17 (2022)
21.
Ramyasri, G., Murthy, G.R., Itapu, S., Krishna, S.M.: Data transmission using secure hybrid techniques for smart energy metering devices. e-Prime-Advances in Electrical Engineering. Electronics and Energy 4, 100134 (2023)
22.
Saint-Andre, P.: Streaming XML with Jabber/XMPP in IEEE Internet Computing 9(5), 82–89 ( Sept.-Oct. 2005)
23.
Cao, X., Li, Y., Xiong, X., Wang, J.: Dynamic routings in satellite networks: an overview. Sensors 22(12), 4552 (2022)CrossRef
24.
Jiang, W.: Software defined satellite networks: A survey. Digital Communications and Networks (2023)
25.
Kota, S., Giambene, G.: 6G integrated non-terrestrial networks: Emerging technologies and challenges. In: I IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6 (2021)
26.
Fang, X., Feng, W., Wei, T., Chen, Y., Ge, N., Wang, C.X.: 5G embraces satellites for 6G ubiquitous IoT: Basic models for integrated satellite terrestrial networks. IEEE Internet Things J. 8(18), 14399–14417 (2021)CrossRef
27.
Niephaus, C., Kretschmer, M., Ghinea, G.: QoS provisioning in converged satellite and terrestrial networks: A survey of the state-of-the-art. IEEE Comm. Surv. Tutor. 18(4), 2415–2441 (2016)CrossRef
28.
Ortiz, F., et al.: Onboard processing in satellite communications using AI accelerators. Aerospace 10(2), 101 (2023)CrossRef
29.
Yang, M., Shao, X., Xue, G., Dou, Y.: Swarm and Location-Based QoS Routing Algorithm in MEO/LEO Double-Layered Satellite Networks. Wireless Communications and Mobile Computing (2023)
30.
Tang, S., Pan, Z., Hu, G., Wu, Y., Li, Y.: Deep reinforcement learning-based resource allocation for satellite internet of things with diverse QoS guarantee. Sensors 22(8), 2979 (2022)CrossRef
31.
Yuan, S., Peng, M., Sun, Y., Liu, X.: Software defined intelligent satellite-terrestrial integrated networks: Insights and challenges. Digital Communications and Networks (2022)
32.
Kim, H., Ben-Othman, J., Mokdad, L.: Intelligent Terrestrial and Non-Terrestrial Vehicular Networks with Green AI and Red AI Perspectives. Sensors 23(2), 806 (2023)CrossRef
33.
Yin, Y., et al.: Deep Reinforcement Learning-Based Joint Satellite Scheduling and Resource Allocation in Satellite-Terrestrial Integrated Networks. Wireless Communications and Mobile Computing (2022)
34.
Alsabah, M., et al.: 6G wireless communications networks: a comprehensive survey. IEEE Access 9, 148191–148243 (2021)
35.
Akhtar, M.W., Hassan, S.A., Ghaffar, R., Jung, H., Garg, S., Hossain, M.S.: The shift to 6G communications: vision and requirements. HCIS 10, 1–27 (2020)
36.
Pacheco, F., Exposito, E., Gineste, M.: A framework to classify heterogeneous internet traffic with machine learning and deep learning techniques for satellite communications. Comput. Netw. 173, 107213 (2020)CrossRef
37.
Jagannath, A., Jagannath, J., Melodia, T.: Redefining wireless communication for 6G: signal processing meets deep learning with deep unfolding. IEEE Trans. Artifi. Intell. 2(6), 528–536 (2021)CrossRef
38.
Ahammed, T.B., Patgiri, R., Nayak, S.: A vision on the artificial intelligence for 6G communication. ICT Express (2022)
39.
Qadir, Z., Le, K.N., Saeed, N., Munawar, H.S.: Towards 6G internet of things: Recent advances, use cases, and open challenges. ICT Express (2022)
40.
Banafaa, M., et al.: 6G mobile communication technology: Requirements, targets, applications, challenges, advantages, and opportunities. Alexandria Engineering Journal (2022)
41.
Li, Q., et al.: 6G cloud-native system: Vision, challenges, architecture framework and enabling technologies. IEEE Access 10, 96602–96625 (2022)
42.
Tang, Q., Fei, Z., Li, B., Han, Z.: Computation offloading in LEO satellite networks with hybrid cloud and edge computing. IEEE Internet Things J. 8(11), 9164–9176 (2021)CrossRef
43.
Yang, P., Xiao, Y., Xiao, M., Li, S.: 6G wireless communications: Vision and potential techniques. IEEE Network 33(4), 70–75 (2019)MathSciNetCrossRef
44.
Li, Q., et al.: 6G cloud-native system: Vision, challenges, architecture framework and enabling technologies. IEEE Access 10, 96602–96625 (2022)CrossRef
45.
Foukas, X., Patounas, G., Elmokashfi, A., Marina, M.K.: Network slicing in 5G: Survey and challenges. IEEE Commun. Mag. 55(5), 94–100 (2017)CrossRef
46.
Li, C., Zhang, Y., Xie, R., Hao, X., Huang, T.: Integrating edge computing into low earth orbit satellite networks: architecture and prototype in IEEE. Access 9, 39126–39137 (2021)CrossRef
47.
Esmat, H.H., Lorenzo, B., Shi, W.: Towards Resilient Network Slicing for Satellite-Terrestrial Edge Computing IoT in IEEE Internet of Things Journal
48.
Li, Q., et al.: Service Coverage for Satellite Edge Computing in IEEE Internet of Things Journal 9(1), 695–705 (2022)MathSciNetCrossRef
49.
You, X., et al.: Towards 6G wireless communication networks: Vision, enabling technologies, and new paradigm shifts. Science China Information Sciences 64, 1–74, (2021)
50.
López Escobar, J.J., Díaz Redondo, R.P., Gil-Castiñeira, F.: In-depth analysis and open challenges of Mist Computing. Journal of Cloud Computing 11(1), 81 (2022)CrossRef
51.
Fazel, E., Najafabadi, H.E., Rezaei, M., Leung, H.: Unlocking the Power of Mist Computing through Clustering Techniques in IoT Networks. Internet of Things, 100710 (2023)
52.
Ketu, S., Mishra, P.K.: Cloud, fog and mist computing in IoT: an indication of emerging opportunities. IETE Tech. Rev. 39(3), 713–724 (2022)CrossRef
53.
Babar, K., Shah, M.A.: Scalable and sustainable mist computing-based architecture for Internet of Health Things. In: Competitive Advantage in the Digital Economy (CADE 2022), Vol. 2022, pp. 111–116. IET (2022 June)
54.
Wang, J., Ling, X., Le, Y., Huang, Y., You, X.: Blockchain-enabled wireless communications: a new paradigm towards 6G. National Science Review 8(9), nwab069 (2021)
55.
Xu, H., Klaine, P.V., Onireti, O., Cao, B., Imran, M., Zhang, L.: Blockchain-enabled resource management and sharing for 6G communications. Digital Communications and Networks 6(3), 261–269 (2020)CrossRef
56.
Ling, X., Wang, J., Bouchoucha, T., Levy, B.C., Ding, Z.: Blockchain radio access network (B-RAN): Towards decentralized secure radio access paradigm. IEEE Access 7, 9714–9723 (2019)CrossRef
57.
Le, Y., Ling, X., Wang, J., Ding, Z.: Prototype design and test of blockchain radio access network. In: 2019 IEEE International Conference on Communications Workshops (ICC Workshops), pp. 1–6. IEEE. (2019)
Metadaten
Titel
Investigating IoT-Enabled 6G Communications: Opportunities and Challenges
verfasst von
Radia Belkeziz
Reda Chefira
Oumaima Tibssirte
Copyright-Jahr
2024
Buch
Computing, Internet of Things and Data Analytics

Print ISBN: 978-3-031-53716-5

Electronic ISBN: 978-3-031-53717-2

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-53717-2_38

Premium Partner

    Bildnachweise