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
Wireless Networks
Erschienen in: Wireless Networks 3/2020

04.01.2020

A VDTN scheme with enhanced buffer management

verfasst von: Zhaoyang Du, Celimuge Wu, Xianfu Chen, Xiaoyan Wang, Tsutomu Yoshinaga, Yusheng Ji

Erschienen in: Wireless Networks | Ausgabe 3/2020

Einloggen

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

search-config
loading …

Abstract

Vehicular delay tolerant networks (VDTNs) enable communications in sparse vehicular ad-hoc networks and other challenged environments where traditional networking approaches fail. We propose a VDTN routing scheme that combines the message deliver strategy of PRoPHET protocol, the message copy control strategy of Spray-and-Wait protocol and an enhanced buffer management scheme. In our proposal, the buffer management scheme is designed to improve certain network performance goals, namely, maximizing the average delivery ratio and minimizing the average delivery delay. Furthermore, we use computer simulations to show that the proposed routing scheme achieves better system performance than the existing baseline routing protocols.
Vorheriger Artikel Intelligent resource management for 5G
Nächster Artikel Enabling 5G: sentimental image dominant graph topic model for cross-modality topic detection

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
Literatur
1.
Wu, C., Liu, Z., Zhang, D., Yoshinaga, T., & Ji, Y. (2018). Spatial intelligence towards trustworthy vehicular IoT. IEEE Communications Magazine, 56(10), 22–27.CrossRef
2.
Wu, C., Yoshinaga, T., Ji, Y., Murase, T., & Zhang, Y. (2017). A reinforcement learning-based data storage scheme for vehicular Ad Hoc networks. IEEE Transactions on Vehicular Technology, 66(7), 6336–6348.CrossRef
3.
Kaiwartya, O., Abdullah, A. H., Cao, Y., Altameem, A., Prasad, M., Lin, C., et al. (2016). Internet of vehicles: Motivation, layered architecture, network model, challenges, and future aspects. IEEE Access, 4, 5356–5373.CrossRef
4.
Qureshi, N. M. F., Siddiqui, I. F., Unar, M. A., Uqaili, M. A., Nam, C. S., Shin, D. R., et al. (2018). An aggregate mapreduce data block placement strategy for wireless iot edge nodes in smart grid. In Wireless personal communications, pp. 1–12.
5.
Zhao, N., Yu, F. R., Sun, H. J., & Li, M. (2015). Adaptive power allocation schemes for spectrum sharing in interference alignment (IA)-based cognitive radio networks. IEEE Transactions on Vehicular Technology, 65, 3700–3714.CrossRef
6.
Iwendi, C., Uddin, M., Ansere, J. A., Nkurunziza, P., Anajemba, J., & Bashir, A. K. (2018). On detection of sybil attack in large-scale vanets using spider-monkey technique. IEEE Access, 6, 47258–47267.CrossRef
7.
Ali, A., Liu, H., Bashir, A. K., El-Sappagh, S., Ali, F., Baig, A., et al. (2018). Priority-based cloud computing architecture for multimedia-enabled heterogeneous vehicular users. Journal of Advanced Transportation, 2018, 1–12.CrossRef
8.
Chauhdary, S. H., Hassan, A., Alqarni, M. A., Alamri, A., & Bashir, A. K. (2019). A twofold sink-based data collection in wireless sensor network for sustainable cities. Sustainable Cities and Society, 45, 1–7.CrossRef
9.
Fall, K. (2003). A delay-tolerant network architecture for challenged internets. In Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications, pp. 27–34, August
10.
Spyropoulos, T., Rais, R. N., Turletti, T., Obraczka, K., & Vasilakos, A. (2010). Routing for disruption tolerant networks: taxonomy and design. Wireless Networks, 16(8), 2349–2370.CrossRef
11.
Cao, Y., & Sun, Z. (2013). Routing in delay/disruption tolerant networks: A taxonomy, survey and challenges. IEEE Communications surveys & tutorials, 15(2), 654–677.CrossRef
12.
Er, N. I., Singh, K. D., & Bonnin, J.-M. (2019). Dc4led: A hierarchical vdtn routing for data collection in smart cities. In2019 16th IEEE annual consumer communications & networking conference (CCNC), pp. 1–4
13.
Zhao, N., Pan, X., Li, Z., Chen, Y., Li, F., Ding, Z., et al. (2019). Joint trajectory and precoding optimization for UAV-assisted NOMA networks. IEEE Transactions on Vehicular Technology, 67, 3723–3735.
14.
Vahdat, A., & Becker, D. (2000). Epidemic routing for partially connected ad hoc networks. Duke technical report CS-2000-06.
15.
Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2005). Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In Proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking, pp. 252–259
16.
Lindgren, A., Doria, A., & Scheln, O. (2003). Probabilistic routing in intermittently connected networks. SIGMOBILE Mobile Computing Communications Review, 7(3), 19–20.CrossRef
17.
Spyropoulos, T., Psounis, K., & Raghavendra, C. S. (2008). Efficient routing in intermittently connected mobile networks: The single-copy case. IEEE/ACM Transactions on Networking, 16(1), 63–76.CrossRef
18.
Guo, Z., Wang, B., & Cui, J.-H. (2010). Prediction assisted single-copy routing in underwater delay tolerant networks. In2010 IEEE global telecommunications conference GLOBECOM 2010, pp. 1–6
19.
Wang, Y., Jain, S., Martonosi, M., & Fall, K. (2005). Erasure-coding based routing for opportunistic networks. In Proceedings of the 2005 ACM SIGCOMM workshop on delay-tolerant networking, pp. 229–236
20.
Liao, Y., Tan, K., Zhang, Z., & Gao, L. (2006). Estimation based erasure-coding routing in delay tolerant networks. InProceedings of the 2006 international conference on wireless communications and mobile computing, pp. 557–562
21.
Burgess, J., Gallagher, B., Jensen, D., & Levine, B. N. (2006). Maxprop: Routing for vehicle-based disruption-tolerant networks. In Proceedings of IEEE INFOCOM, pp. 1–11, April
22.
Zhu, Y., Xu, B., Shi, X., & Wang, Y. (2013). A survey of social-based routing in delay tolerant networks: Positive and negative social effects. IEEE Communications Surveys & Tutorials, 15(1), 387–401.CrossRef
23.
Xia, F., Liu, L., Jedari, B., & Das, S. K. (2016). Pis: A multi-dimensional routing protocol for socially-aware networking. IEEE Transactions on Mobile Computing, 15(11), 2825–2836.CrossRef
24.
Schoeneich, R. O., & Surgiewicz, R. (2016). Socialrouting: The social-based routing algorithm for delay tolerant networks. International Journal of Electronics and Telecommunications, 62(2), 167–172.CrossRef
25.
Moreira, W., Mendes, P., & Sargento, S. (2013). Social-aware opportunistic routing protocol based on user’s interactions and interests. In International conference on ad hoc networks, pp. 100–115
26.
Moreira Jr, W., Mendes, P., & Cerqueira, E. (2014). Opportunistic routing based on users daily life routine. In Proceedings of the IEEE international symposium on a world of wireless, mobile and multimedia networks (WoWMoM), pp. 1–6
27.
Hui, P., Crowcroft, J., & Yoneki, E. (2011). Bubble rap: Social-based forwarding in delay-tolerant networks. IEEE Transactions on Mobile Computing, 10(11), 1576–1589.CrossRef
28.
Shin, K., & Kim, S. (2011). Enhanced buffer management policy that utilises message properties for delay-tolerant networks. IET Communications, 5, 753–759.MathSciNetCrossRef
29.
Liu, Y., Wang, J., Zhang, S., & Zhou, H. (2011). A buffer management scheme based on message transmission status in delay tolerant networks. In 2011 IEEE global telecommunications conference—GLOBECOM 2011, pp. 1–5, Dec
30.
Wu, D., Zhou, J., Zhang, P., & Wang, R. (2013). Intelligent dynamical buffer scheduling mechanism for intermittently connected mobile network. Wireless Personal Communications, 73(3), 1269–1288.CrossRef
31.
Wei, K., Guo, S., Zeng, D., & Xu, K. (2014). “A multi-attribute decision making approach to congestion control in delay tolerant networks. In 2014 IEEE international conference on communications (ICC), pp. 2742–2747, June
32.
Balasubramanian, A., Levine, B., & Venkataramani, A. (2007). Dtn routing as a resource allocation problem. SIGCOMM Computing and Communications Review, 37(4), 373–384.CrossRef
33.
Krifa, A., Barakat, C., & Spyropoulos, T. (2008). Optimal buffer management policies for delay tolerant networks. In2008 5th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, pp. 260–268, June
34.
Krifa, A., Barakat, C., & Spyropoulos, T. (2012). Message drop and scheduling in dtns: Theory and practice. IEEE Transactions on Mobile Computing, 11(9), 1470–1483.CrossRef
35.
Keränen, A., Ott, J., & Kärkkäinen, T. (2009). The one simulator for dtn protocol evaluation. In Second international conference on simulation tools and techniques (SIMUTools 2009), pp. 1–10, March
Metadaten
Titel
A VDTN scheme with enhanced buffer management
verfasst von
Zhaoyang Du
Celimuge Wu
Xianfu Chen
Xiaoyan Wang
Tsutomu Yoshinaga
Yusheng Ji
Publikationsdatum
04.01.2020
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02241-x

Weitere Artikel der Ausgabe 3/2020

Wireless Networks 3/2020 Zur Ausgabe

OriginalPaper

Traffic big data assisted V2X communications toward smart transportation

OriginalPaper

CARTEE: congestion avoidance with reliable transport and energy efficiency for multimedia applications in wireless sensor networks

OriginalPaper

Performance analysis of electromagnetic (EM) wave in sea water medium

OriginalPaper

Joint power allocation and power splitting for MISO SWIPT RSMA systems with energy-constrained users

OriginalPaper

Characterization of untrusted relaying networks in the presence of an adversary jammer

OriginalPaper

Machine learning based adaptive modulation scheme for energy harvesting cooperative relay networks

Neuer Inhalt

    Bildnachweise