An Ecn Approach to Congestion Control Mechanisms in Mobile Adhoc Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 7
Abstract
Node(s)/link(s) of a network are subjected to overloading; network performance deteriorates substantially due to network congestion. Network congestion can be mitigated with the help of Explicit Congestion notification (ECN) technique. ECN notification is carried out by setting ECN bit in the TCP header. This allows for end-to-end notification of network congestion without dropping packets. ECN bit notifies TCP sources of incipient congestion before losses occur. ECN is a binary indicator (1 bit) which does not reflect the congestion level completely and so its convergence speed is relatively low. In our work, we have used an extra ECN bit (2 bit ECN). The extra bit allows for passing of additional congestion feedback to the source node. This enables the source node to determine the level of congestion based on which steps can be taken to ensure faster convergence. In comparison to single bit ECN, the additional information afforded by double bit ECN allows for more flexibility to adjust window size, to handle congestion. Simulation results have shown that the proposed method improves overall performance of the network by over 12%.
Authors and Affiliations
Som Tiwari, Dr. Y. K. Rana, Prof. Anurag Jain
Keywords
Related Articles
- EP ID EP147491
- DOI 10.14569/IJACSA.2014.050723
- Views 89
- Downloads 0
Classification of Human Emotions from Electroencephalogram (EEG) Signal using Deep Neural Network
Estimation of human emotions from Electroencephalogram (EEG) signals plays a vital role in developing robust Brain-Computer Interface (BCI) systems. In our research, we used Deep Neural Network (DNN) to address EEG-based...
An Efficient Algorithm to Automated Discovery of Interesting Positive and Negative Association Rules
Association Rule mining is very efficient technique for finding strong relation between correlated data. The correlation of data gives meaning full extraction process. For the discovering frequent items and the mining of...
A Survey on Content-based Image Retrieval
The widespread of smart devices along with the exponential growth of virtual societies yield big digital image databases. These databases can be counter-productive if they are not coupled with efficient Content-Based Ima...
Performance Impact of Relay Selection in WiMAX IEEE 802.16j Multi-hop Relay Networks
Worldwide Interoperability for Microwave Access network accepts the challenge of last mile wireless access for internet. IEEE 802.16 standard, commercially known as WiMAX provide wireless broadband experience to the end...
Exploiting Document Level Semantics in Document Clustering
Document clustering is an unsupervised machine learning method that separates a large subject heterogeneous collection (Corpus) into smaller, more manageable, subject homogeneous collections (clusters). Traditional metho...