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
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2019 | OriginalPaper | Buchkapitel

An Analytical Modeling for Leveraging Scalable Communication in IoT for Inter-Domain Routing

verfasst von : A. Bhavana, A. N. Nandha Kumar

Erschienen in: Computational and Statistical Methods in Intelligent Systems

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Although Internet-of-Things (IoT) is one of the big name in the world of technology toward that integrates sophisticated system with cloud and sensors to construct a complete ubiquitous environment, but still it is not meant for offering massive connectivity with large number of heterogeneous sensors. This problem gives rise to scalability issue that is yet an open-end problem. Therefore, this paper introduces a unique approach of improving the accuracy by harnessing IoT ecosystem as well as various other resource-based processes that has never been found considered in prior research attempt. The system considers that if a correct planning of resources is carried out during inter-domain routing, scalability problems can be solved to large extent. The study outcome of this paper shows better communication performance in contrast to existing frequently used routing scheme in IoT.

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
Nächstes Kapitel Cost-Sensitive Learner on Hybrid SMOTE-Ensemble Approach to Predict Software Defects
Literatur
1.
Cravero, A.: Big data architectures and the Internet of Things: a systematic mapping study. IEEE Latin Am. Trans. 16(4), 1219–1226 (2018)CrossRef
2.
Hassan, A.M., Awad, A.I.: Urban transition in the era of the Internet of Things: social implications and privacy challenges. In: IEEE Access
3.
Hemmatpour, M., Ghazivakili, M., Montrucchio, B., Rebaudengo, M.: DIIG: a distributed industrial IoT gateway. In: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Turin, pp. 755–759 (2017)
4.
Al-Musawi, B., Branch, P., Armitage, G.: BGP anomaly detection techniques: a survey. IEEE Commun. Surv. Tutor. 19(1), 377–396 (2017)CrossRef
5.
Gibbons, T., Hook, J.V., Wang, N., Shake, T., Street, D., Ramachandran, V.: A survey of tactically suitable exterior gateway protocols. In: 2013 IEEE Military Communications Conference, MILCOM 2013, San Diego, CA, pp. 487–493 (2013)
6.
Guo, Y., Yan, J., Zhang, L., Qiu, H.: A routing recovery method based on structure properties and centralized control for inter domain routing system. In: 2017 IEEE 17th International Conference on Communication Technology (ICCT), Chengdu, pp. 563–567 (2017)
7.
Park, S., Crespi, N., Park, H., Kim, S.H.: IoT routing architecture with autonomous systems of things. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), Seoul, pp. 442–445 (2014)
8.
Su-Seong, C., Dongjun, S.: Design of scalable IoT platform using hazard sensor, open and social data. In: 2018 International Workshop on Social Sensing (SocialSens), Orlando, FL, USA, p. 6 (2018)
9.
Kim-Hung, L., Datta, S.K., Bonnet, C., Hamon, F., Boudonne, A.: A scalable IoT framework to design logical data flow using virtual sensor. In: 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, pp. 1–7 (2017)
10.
Bhavana, A.: Evaluating perception, characteristics and research directions for Internet of Things (IoT): an investigational survey. Int. J. Comput. Appl. 121(4), 13–19 (2015)
11.
Roy, S.S., Puthal, D., Sharma, S., Mohanty, S.P., Zomaya, A.Y.: Building a sustainable Internet of Things: energy-efficient routing using low-power sensors will meet the need. IEEE Consum. Electron. Mag. 7(2), 42–49 (2018)CrossRef
12.
Banchuen, T., Kawila, K., Rojviboonchai, K.: An SDN framework for video conference in inter-domain network. In: 2018 20th International Conference on Advanced Communication Technology (ICACT), Chuncheon-si Gangwon-do, Korea (South), p. 1 (2018)
13.
Chen, C.H., Lin, M.Y., Liu, C.C.: Edge computing gateway of the industrial Internet of Things using multiple collaborative microcontrollers. IEEE Netw. 32(1), 24–32 (2018)CrossRef
14.
Hamrioui, S., Lorenz, P.: Bio inspired routing algorithm and efficient communications within IoT. IEEE Netw. 31(5), 74–79 (2017)CrossRef
15.
Kaed, C.E., Khan, I., Van Den Berg, A., Hossayni, H., Saint-Marcel, C.: SRE: semantic rules engine for the industrial Internet-of-Things gateways. IEEE Trans. Ind. Inf. 14(2), 715–724 (2018)CrossRef
16.
Villa, D., et al.: IDM: an inter-domain messaging protocol for IoT. In: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, pp. 8355–8360 (2017)
17.
Zhao, S., Yu, L., Cheng, B.: An event-driven service provisioning mechanism for IoT (Internet of Things) system interaction. IEEE Access 4, 5038–5051 (2016)CrossRef
18.
Tanganelli, G., Vallati, C., Mingozzi, E.: Edge-centric distributed discovery and access in the Internet of Things. IEEE Internet Things J. 5(1), 425–438 (2018)CrossRef
19.
Aranzazu-Suescun, C., Cardei, M.: Distributed algorithms for event reporting in mobile-sink WSNs for Internet of Things. Tsinghua Sci. Technol. 22(4), 413–426 (2017)CrossRef
20.
Shen, J., Wang, A., Wang, C., Hung, P.C.K., Lai, C.F.: An efficient centroid-based routing protocol for energy management in WSN-assisted IoT. IEEE Access 5, 18469–18479 (2017)CrossRef
21.
Morabito, R.: Virtualization on Internet of Things edge devices with container technologies: a performance evaluation. IEEE Access 5, 8835–8850 (2017)CrossRef
22.
Chen, Y., et al.: Energy-autonomous wireless communication for millimeter-scale Internet-of-Things sensor nodes. IEEE J. Sel. Areas Commun. 34(12), 3962–3977 (2016)CrossRef
23.
Elmisery, A.M., Rho, S., Botvich, D.: A fog based middleware for automated compliance with OECD privacy principles in internet of healthcare things. IEEE Access 4, 8418–8441 (2016)CrossRef
24.
Javaid, N., Cheema, S., Akbar, M., Alrajeh, N., Alabed, M.S., Guizani, N.: Balanced energy consumption based adaptive routing for IoT enabling underwater WSNs. IEEE Access 5, 10040–10051 (2017)CrossRef
25.
Taghizadeh, S., Bobarshad, H., Elbiaze, H.: CLRPL: context-aware and load balancing RPL for Iot networks under heavy and highly dynamic load. IEEE Access 6, 23277–23291 (2018)CrossRef
26.
Liu, X., Sheng, Z., Yin, C., Ali, F., Roggen, D.: Performance analysis of routing protocol for low power and lossy networks (RPL) in large scale networks. IEEE Internet Things J. 4(6), 2172–2185 (2017)CrossRef
27.
Tahir, Y., Yang, S., McCann, J.: BRPL: backpressure RPL for high-throughput and mobile IoTs. IEEE Trans. Mob. Comput. 17(1), 29–43 (2018)CrossRef
28.
Iova, O., Picco, P., Istomin, T., Kiraly, C.: RPL: the routing standard for the Internet of Things… or is it? IEEE Commun. Mag. 54(12), 16–22 (2016)CrossRef
29.
Kim, H.S., Kim, H., Paek, J., Bahk, S.: Load balancing under heavy traffic in RPL routing protocol for low power and lossy networks. IEEE Trans. Mob. Comput. 16(4), 964–979 (2017)CrossRef
30.
Kim, H.S., Im, H., Lee, M.S., Paek, J., Bahk, S.: A measurement study of TCP over RPL in low-power and lossy networks. J. Commun. Netw. 17(6), 647–655 (2015)CrossRef
31.
Metadaten
Titel
An Analytical Modeling for Leveraging Scalable Communication in IoT for Inter-Domain Routing
verfasst von
A. Bhavana
A. N. Nandha Kumar
Copyright-Jahr
2019
Buch
Computational and Statistical Methods in Intelligent Systems

Print ISBN: 978-3-030-00210-7

Electronic ISBN: 978-3-030-00211-4

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00211-4_1

Premium Partner

    Bildnachweise