dc.contributor.author |
Nwizege, Kenneth S. |
|
dc.contributor.author |
Ikhazuangbe, Godson I. |
|
dc.contributor.author |
Philip-Kpae, Friday O. |
|
dc.contributor.author |
Agbeb, Stephen N. |
|
dc.contributor.author |
Akoba, Bright G. |
|
dc.contributor.author |
Frank, Hilary |
|
dc.contributor.author |
Nziidee, Lelesi F. |
|
dc.date.accessioned |
2018-07-04T06:27:04Z |
|
dc.date.available |
2018-07-04T06:27:04Z |
|
dc.date.issued |
2018-05-01 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
http://10.7.0.19:8080/xmlui/handle/123456789/188 |
|
dc.description.abstract |
Mobile Ad -Hoc Networks (MANETs) is a spontaneous network that facilitates communication among nodes without a centralized-control device unlike the infrastructure network category. One of the major challenges with MANETs and Vehicular Ad - Hoc Networks (VANETS) in mobile communication is the problem of connectivity between Mobile Nodes (MNs). This dilemma occurs as a result of high mobility of nodes moving farther from each other in MANETs or VANETS or moving away from the base station as in a cellular network or in a Mobile Infrastructure Ad Hoc Networks (MI-VANETs) as a result of propagation effects. Mobility of nodes is one of the major impacts of routing in every mobile and wireless network because of high dynamic nature of mobile environments. Several factors that influence the evaluation of the networks depend mainly on the implementation of the mobility model and the mobility model in turn depends on several factors of the environment. This paper evaluates the impact of communication and transmission range on network connectivity due to high mobility of nodes in a mobile and wireless environment. The results obtained through derived mobility metrics and Rate Adaption (RA) show that communication range has impact on connectivity in a highly mobile environment such as in vehicular communications. MN in this context is same as vehicles in this article. |
en_US |
dc.description.sponsorship |
University of Bahrain |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Mobility modeling |
|
dc.subject |
Mobile & wireless networks |
|
dc.subject |
MANTS |
|
dc.subject |
VANETs |
|
dc.subject |
ITS |
|
dc.subject |
Vehicle-to-roadside |
|
dc.subject |
MNs |
|
dc.subject |
Vehicular communications |
|
dc.subject |
Transmssion range |
en_US |
dc.title |
Using Derived Mobility Model Metrics to Evaluate the Impact of Transmission Range in Vehicular Networks |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCDS/070302 |
|
dc.volume |
07 |
|
dc.issue |
03 |
|
dc.pagestart |
135 |
|
dc.pageend |
144 |
|
dc.source.title |
International Journal of Computing and Digital Systems |
|
dc.abbreviatedsourcetitle |
IJCDS |
|