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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Simaiya, S. Shrivastava, A. Keer, N.P. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Comp. Sci. Eng., NIRT Eng. Coll., Bhopal, India (Simaiya, S.; Shrivastava, A.; Keer, N.P.) |
| Abstract | In Mobile Adhoc networks (MANET) traditional congestion control mechanism RED encounters with new challenges such as high packet drop ratio, degradation of throughput and frequent link failures. Congestion in a network occurs when the demand on the network resources is greater than the available resources and due to increasing mismatch in link speeds caused by intermixing of heterogeneous network technologies. Active Queue management provides a mechanism for protecting individual flows from congestion. One of the technique which uses Active Queue Management technique is RED. The basic idea behind RED queue management is to detect incipient congestion early and to convey congestion notification to the end hosts. The basic philosophy behind RED is to prevent congestion. This paper presents dynamic weight parameter Dq with probability Pq to increase the performance of RED, also introduces a new range variable and improve priority queue with existing RED algorithm for improvement in performance of networks. Once the common queue length is close to the minimum threshold value with probability Pb, Improve RED automatically sets queue parameter according to queue conditions and handles queuing delay and improve throughput. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 283 |
| Ending Page | 287 |
| File Size | 401242 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479930708 |
| DOI | 10.1109/CSNT.2014.62 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Heuristic algorithms Improve Random early detection (IRED) Lead Range variable and Weight parameter Throughput Flow Random Early Drop (FRED) Delays RED (Random Early Detection) Active queue management (AQM) Mobile ad hoc networks |
| Content Type | Text |
| Resource Type | Article |
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