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 Personal Communications
Erschienen in: Wireless Personal Communications 1/2014

01.11.2014

Effects of Propagation Models on AODV in Mobile Ad-hoc Networks

verfasst von: Ashok M. Kanthe, Dina Simunic, Ramjee Prasad

Erschienen in: Wireless Personal Communications | Ausgabe 1/2014

Einloggen

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

search-config
loading …

Abstract

Mobile ad-hoc networks (MANET) operate like self organizing entity. The mobile nodes are operate in a host as well as in a router and dynamic topology. In MANET every network node operates autonomously. It has limited resources like power, bandwidth and storage capacity. Selection of a propagation model plays the vital role of application possibilities in MANET. In this paper, calculations have been performed for three propagation models: Two-ray ground, COST 231 and Okumura–Hata model. The paper shows the impact of these propagation models based on Ad-hoc on-demand distance vector (AODV) protocol at 1.5 GHz frequency, varying transmitted power and number of nodes. This paper also studies effects of the propagation models with the conclusion of choosing the most accurate propagation model. Okumura–Hata propagation model shows better results at 1.5 GHz frequency as compared to COST 231 and Two-ray ground model in open space using Network Simulator (NS 2.35). Two-ray ground propagation model shows better results with varying transmitted power and number of nodes as compared to COST 231 and Okumura–Hata model.
Vorheriger Artikel Enhanced IEEE 802.11 MAC Protocol for Precision Formation Flying-Based Distributed Spacecraft
Nächster Artikel A Non-cooperative Differential Game Model for Frequency Reuse Based Channel Allocation in Satellite Networks

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

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+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 "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.
Prasad, R., Dixit, S., & Van Nee, R. (2011). Globalization of mobile and wireless communication. Berlin: Springer. March 2011. Please check and confirm the inserted publisher location for the references [1, 2, 7, 24, 25].
2.
Gavrilovska, L., & Prasad, R. (2006). Ad hoc networking towards seamless communications (p. 284). Berlin: Springer.
3.
Hoebeke, J., Moerman, I., Dhoedt, B., & Demeester, P. (July 2004). An overview of mobile ad hoc networks: Applications and challenges. Journal of the Communication Networks, 3, 60–66.
4.
Fischer, J., Grossmann, M., Felber, W., Landmann, M., Heuberger, A. (2012). A measurement-based path loss model for wireless links in mobile ad-hoc networks (MANET) operating in the VHF and UHF band. Antennas and Propagation in Wireless Communication (APWC) IEEE-APS, pp. 349–352.
5.
Okumura, Y., & Kol, A. Field strength and its variability in VHF and UHF land mobile radio service. Rev. Elec. Comm. Lab. No. 9–10, pp. 825–873.
6.
Hata, M. (Aug. 1980). Empirical formula for propagation loss in land mobile radio services. IEEE Transactions on Vehicular Technology, 29(3), 317–325.
7.
Rappaport, T. S. (2002). Wireless communications: Principles and practice (2nd ed., p. 656). Englewood Cliffs: Prentice Hall International.
8.
Eltahir, I. The impact of radio propagation models for mobile ad hoc networks (MANET) in urban area environment. The second IEEE international conference on wireless broadband and ultra wideband communications (Aus Wireless 2007), p. 30.
9.
Bettstetter, C., Hartenstein, H., & Perez-Costa, X. (September 2004). Stochastic properties of the random waypoint mobility model. ACM/Kluwer Wireless Networks: Special Issue on Modeling and Analysis of Mobile Networks, 10(5), 555–567.
10.
Buruhanudeen, S., Ohman, M., Othman, M., & Ali, B. (2007). Mobility models, broadcasting methods and factors contributing towards the efficiency of the MANET routing protocols. In: International conference on communications, telecommunications and Malaysia, IEEE international conference on ICT-MICC 2007 (pp. 226–230).
11.
Schmitz, A., & Wenig, M. (2006). The effect of the impact of radio wave propagation model in mobile ad hoc networks. In: MSWiM ’06 proceedings of the 9th ACM international symposium on modeling analysis and simulation of wireless and mobile systems (pp. 61–67). Torremolinos, Malaga, Spain, 2–6 October 2006.
12.
Jenson, H. W., & Christensen, N. J. (March 1995). Photon maps in bidirectional Monte Carlo ray tracing of complex objects. Computers and Graphics, 19(2), 215–224.
13.
Rhattoy, A., & Zatni, A. (2012). The impact of radio propagation models on mobile ad hoc networks performance. Journal of Computer Science, 8(5), 752–760. Science Publication.
14.
Carvello, M. M., & Garcia-Luna-Aceves, J. J. (2007). Modeling single-hop wireless networks under Rician fading channels. In: Proceedings of the 2nd international conference on wireless broadband and ultra wideband communications (pp. 30–30). IEEE Xplore Press Sydney, NSW, 27–30 Aug 2007.
15.
Stepanov, I., Herrscher, D., & Rothermel, K. (2005). On the impact of radio propagation models on MANET simulation results. In: Proceedings of the 7th IFIP international conference on mobile and wireless communication networks (MWCN 2005) (pp. 61–78). Morocco, September.
16.
Wolfle, G., Hoppe, R., & Landstorfer, F. M. (1999). A fast and enhanced ray optical propagation model for indoor and urban scenarios, based on an intelligent preprocessing of the database. In: Proceedings of the 10th IEEE international symposium on personal indoor and mobile radio communications (PIMRC). Osaka, Japan, September.
17.
Green, D. B., & Obaidat, M. S. (2002). An accurate line of sight propagation performance model for ad-hoc 802.11 wireless LAN (WLAN) devices. In: IEEE international conference, vol. 5, pp. 3424–3428.
18.
Lee, W. (1986). Mobile communication design fundamentals (p. 66). Indianapolis, Indiana: Howard. W. Sams & Co.
19.
Longley, A., & Rice, P. (1968). Prediction of tropospheric radio transmission over irregular terrain. A computer method. ESSA Tech. Rep. ERL 79-ITS 67, Washington, DC: US Government Printing, Office, July, p. 147.
20.
Hata, M. (1997). A report on technology independent methodology for the modeling, simulation and empirical verification of wireless communication system performance in noise and interference limited systems operating on frequencies between 30 and 1,500 MHz. TIA TR8 Working Group, IEEE Vehicular Technology Society Propagation Committee, May, p. 109.
21.
Mogensen, P., Jensen, P., & Andersen, J. (1991). 1,800 MHz mobile net planning based on 900 MHz measurements. COST 231 TD (91)-08, Jan, Firenze.
22.
23.
Sizen, H. (2003). Radio wave propagation for telecommunication applications, signals and communication technology. Berlin: Springer.
24.
Seybond, J. (20005). Introduction to RF propagation (p. 352). London: Wiley.
25.
Zrno, D., & Simunic, D. Matrix based ray-tracing model for indoor propagation. Applied electromagnetic and communications, 2003, ICECom 2003, IEEE 17th international conference, pp. 221–224.
26.
Perkins, C., Royer, E. B., & Das, S. (2003). Ad hoc on semand distance vector (AODV) routing, internet draft. RFC 3561, IETF Network Working Group, July.
27.
Perkins, C., Royer, E. B., & Das, S. (1999). Ad hoc on-demand distance vector routing. In: Proceeding of the 2nd IEEE workshops on mobile computing system and applications (WMCSA) (pp. 90–100), 25–26 Feb 1999.
28.
Kawadia, V., & Kumar, P. R. (2005). Principles and protocols for power control in wireless ad hoc networks. IEEE Journal on Selected Areas in Communications, 23(1), 76–88.CrossRef
29.
ElBatt, T. A., Krishnamurthy, S. V., & Connors, D. (2000). Power management for throughput enhancement in wireless ad-hoc networks. Communications, ICC, IEEE international conference, 3, 1506–1513.
30.
Metadaten
Titel
Effects of Propagation Models on AODV in Mobile Ad-hoc Networks
verfasst von
Ashok M. Kanthe
Dina Simunic
Ramjee Prasad
Publikationsdatum
01.11.2014
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2014
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1863-3

Weitere Artikel der Ausgabe 1/2014

Wireless Personal Communications 1/2014 Zur Ausgabe

OriginalPaper

Dynamic 20/40/60/80 MHz Channel Access for 80 MHz 802.11ac

OriginalPaper

Random Correlation-Based Receiver for Impulse Radio Communications in UWB Channels

OriginalPaper

Power Allocation Algorithms for GMD or UCD Based Joint Transceiver Designs

OriginalPaper

Robust Transceiver Design for Multicell MIMO Downlink Systems

OriginalPaper

Performance Analysis of Decode-and-Forward Scheme with Relay Ordering for Secondary Spectrum Access

OriginalPaper

On the Choice of Positioning and Cluster Size for Fixed Relay Stations in a LTE Network

Neuer Inhalt

    Bildnachweise