Comparative Analysis of Green Algorithm within Active Queue Management for Mobile Ad Hoc Network

Abstract

The Queue Management Techniques play an important role in improving the Quality of Service in Mobile Ad hoc Networks. The need of congestion control and Queue management is inevitable in Mobile Ad hoc Network. Understanding and analyzing the latest AQM Techniques give an insight to improving throughput, packet loss rate, average end to end delay and other parameters that severely affect the performance. The performance of mobile ad hoc networks is evaluated by varying the Channel Error Rate, Bandwidth and Delay at different fragment sizes of different traffic flows. The proposed method performs the network analysis of new Routing protocols. The work proposes to evaluate various Active Queue Management Techniques in a multi traffic environment i.e., sources generating both TCP and UDP traffic classes. The UDP is propagated via CBR and TCP is propagated via FTP. The implementation of the proposed queue management technique has been done in NS 2. In the proposed work we have make NS 2 compatible with GREEN by integrating source code into the ns 2 installation files and using various AQMs in comparison with GREEN to calculate the throughput at various Bandwidths across network. Using various AQMs in comparison with GREEN we have calculated the throughput at various Delays across the network and we have also calculated the throughput at various channels Error Rate across the network. The proposed method has been compared with other primitive AQM techniques so that a repository of best available results can be obtained for design and research purposes. The proposed method has outperformed the existing queue management techniques in number of scenarios. Zulai Khan | Rashmi Raj "Comparative Analysis of Green Algorithm within Active Queue Management for Mobile Ad Hoc Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23950.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23950/comparative-analysis-of-green-algorithm-within-active-queue-management-for-mobile-ad-hoc-network/zulai-khan

Authors and Affiliations

Keywords

Related Articles

A Study on Portfolio Management

Portfolio Management is a very generic term used to refer to the management of different assets. In the financial markets, there are many assets available, such as stocks, bonds, and Treasury bill, commodities, currencie...

Mandukparni Centella Asiatica L. Urban and Indigenous Medicinal and Aromatic Plants Potential through Biopesticides A Review

Aim of this study was to review the efficacy of Mandukparni Centella asiatica L. Urban in curing various disorders disease. Phytoconstituents Secondary metabolites , safety, Purity, strength and therapeutic index of the...

Dynamic Channel Allocation for Wireless Zone Based Multicast and Broadcast Service

In wireless Multicast Broadcast Service (MBS), the common channel is used to multicast the MBS content to the Mobile Stations (MSs) on the MBS calls within the coverage area of a Base Station (BS), which causes interfere...

Electrogenics

The paper presents the information related to the Management system about Electronics Shop. This system is new in market for the reason of GST. We are adding GST for Products and generate the bill including GST. The syst...

Raspberry PI Based Home Appliances Control System using Microcontroller

This paper investigates based on Raspberry PI based home appliances control system using microcontroller system. The paper proposes to control home appliances remotely using smart phone. In this paper, Raspberry Pi is us...

Download PDF file
  • EP ID EP595615
  • DOI 10.31142/ijtsrd23950
  • Views 44
  • Downloads 0

How To Cite

(2019). Comparative Analysis of Green Algorithm within Active Queue Management for Mobile Ad Hoc Network. International Journal of Trend in Scientific Research and Development, 3(4), 935-938. https://europub.co.uk/articles/-A-595615