Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Impact of dynamic path loss models in an urban obstacle aware ad hoc network environment

Full metadata record
DC Field Value Language
dc.contributor.authorAmjad, K.-
dc.contributor.authorAli, M.-
dc.contributor.authorJabbar, S.-
dc.contributor.authorHussain, M.-
dc.contributor.authorRho, S.-
dc.contributor.authorKim, M.-
dc.date.accessioned2023-02-08T07:42:28Z-
dc.date.available2023-02-08T07:42:28Z-
dc.date.issued2015-03-
dc.identifier.issn1687-725X-
dc.identifier.issn1687-7268-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60296-
dc.description.abstractThis study highlights the importance of the physical layer and its impact on network performance in Mobile Ad Hoc Networks (MANETs). This was demonstrated by simulating various MANET scenarios using Network Simulator-2 (NS-2) with enhanced capability by adding propagation loss models (e.g., modified Two-Ray Ground model, ITU Line of Sight and Nonline of Sight (ITU-LoS and NLoS) model into street canyons and combined path loss and shadowing model (C-Shadowing)). The simulation results were then compared with the original Two-Ray Ground (TRG) model already available into NS-2. The scenario primarily simulated was that of a mobile environment using Random Way Point (RWP) mobility model with a variable number of obstacles in the simulation field (such as buildings, etc., causing variable attenuation) in order to analyze the extent of communication losses in various propagation loss models. Performance of the Ad Hoc On-demand Distance Vector (AODV) routing protocol was also analyzed in an ad hoc environment with 20 nodes.-
dc.language영어-
dc.language.isoENG-
dc.publisherHindawi Publishing Corporation-
dc.titleImpact of dynamic path loss models in an urban obstacle aware ad hoc network environment-
dc.typeArticle-
dc.identifier.doi10.1155/2015/286270-
dc.identifier.bibliographicCitationJournal of Sensors, v.2015-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-84925682296-
dc.citation.titleJournal of Sensors-
dc.citation.volume2015-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Mu Cheol photo

Kim, Mu Cheol
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE