Adaptive Control of Congestion in Tough Wireless Environments Using DCM+ Algorithm

Simple item page
dc.contributor.authorHamamreh, Rushdi
dc.contributor.authorKhader, Derar
dc.date.accessioned2020-07-21T10:51:05Z
dc.date.available2020-07-21T10:51:05Z
dc.date.issued2019-08-28
dc.description.abstractThe aim of this paper is to present DCM+, a new congestion control protocol for data networks. It stands for Dynamic Congestion control for Mobile networks. New metrics have been newly invented and introduced like normalized advancing index (NAI) and complete transmission time (CTT). The simulations are done for a simple single-hop-topology (sender-router-receiver ). The outcomes of this protocol are excellent and, in most cases, better than other approaches. The excellent properties of our proposed protocol were possible through tracking the available slow-start threshold. We achieved performance improvement, minimized end-to-end delay and large reduction in transmission time. DCM+ was able to combine many advantages at same time of the protocols NewReno and Westwood+. The results show, that DCM+ is extremely adequate for different types of networks. Feedback as main principle of control theory was used to control the congestion in the network. The parameters Round-Trip-Time (RTT) and Retransmission Timeout (RTO) are used as feedback signals to adjust the next congestion window (cwnd).en_US
dc.identifier.citationHamamreh, R. and Khader, D. (2019) Adaptive Control of Congestion in Tough Wireless Environments Using DCM+ Algorithm. Int. J. Communications , Network and System Sciences , 12, 113-123. https://doi.org/10.4236/ijcns.2019.128009en_US
dc.identifier.issn1913-3723
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/5705
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectCongestion Controlen_US
dc.subjectWestwood+en_US
dc.subjectSlow-Starten_US
dc.subjectCongestion Avoidanceen_US
dc.subjectBandwidth Estimationen_US
dc.subjectRound-Trip Timeen_US
dc.subjectRetransmission Timeouten_US
dc.subjectFeedbacken_US
dc.subjectns-3en_US
dc.titleAdaptive Control of Congestion in Tough Wireless Environments Using DCM+ Algorithmen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
IJCNS_2019082715585115.pdf
Size:
2.77 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
AQU researchers publications