Active Queue Management Techniques for Congestion Control in TCP Communication Networks: New Prospective
Keerthipati. Kumar1, R.A. Karthika2
1Keerthipati. Kumar, Research Scholar, Department of Computer Science and Engineering, Vistas, Chennai (Tamil Nadu), India.
2R.A. Karthika, Associate Professor, Department of Computer Science and Engineering, Vistas, Chennai (Tamil Nadu), India.
Manuscript received on 23 December 2020 | Revised Manuscript received on 13 January 2020 | Manuscript Published on 23 January 2020 | PP: 73-77 | Volume-9 Issue-2S5 December 2019 | Retrieval Number: B10161292S519/2019©BEIESP | DOI: 10.35940/ijitee.B1016.1292S519
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The computer network area has grown very fast from previous years, as a result of which the control of traffic load in the network is at a higher priority. In network, congestion occurs if numbers of coming packets exceed, like bandwidth allocation along with buffer space. This might be due to poor network performance in terms of throughput, packet loss rate, and average packet queuing delay. For enhancing the overall performance when this network will become congested, numerous exclusive aqm (active queue management) techniques were proposed and few are discussed in this research paper. Particularly, aqm strategies are analyzed in detail as well as their obstacles along with strengths are emphasized. There are several algorithms which are under the aqm like ared, fred, choke, red (random early detection), blue, stochastic fair blue (sfb), random exponential marking (rem), svb, raq, etc.
Keywords: Congestion Control, AQM, RED (Random Early Detection), ARED, SFB (Stochastic Fair Blue), CHOKe.
Scope of the Article: Smart Grid Communications