Welcome to the InfoSci Platform
Reference Hub3
Buffer Management in Cellular IP Networks using Evolutionary Algorithms

Buffer Management in Cellular IP Networks using Evolutionary Algorithms

Mohammad Anbar, Deo P. Vidyarthi
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 22
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781613502679|DOI: 10.4018/jaec.2010100101
Cite Article Cite Article

MLA

Anbar, Mohammad, and Deo P. Vidyarthi. "Buffer Management in Cellular IP Networks using Evolutionary Algorithms." IJAEC vol.1, no.4 2010: pp.1-22. http://doi.org/10.4018/jaec.2010100101

APA

Anbar, M. & Vidyarthi, D. P. (2010). Buffer Management in Cellular IP Networks using Evolutionary Algorithms. International Journal of Applied Evolutionary Computation (IJAEC), 1(4), 1-22. http://doi.org/10.4018/jaec.2010100101

Chicago

Anbar, Mohammad, and Deo P. Vidyarthi. "Buffer Management in Cellular IP Networks using Evolutionary Algorithms," International Journal of Applied Evolutionary Computation (IJAEC) 1, no.4: 1-22. http://doi.org/10.4018/jaec.2010100101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Real-time traffic in Cellular IP network is considered to be important and therefore given priority over non-real-time. Buffer is an important but scarce resource and to optimize Quality of Service by managing buffers of the network is an important and complex problem. Evolutionary Algorithms are quite useful in solving such complex optimization problems, and in this regard, a two-tier model for buffer, Gateway and Base Station, management in Cellular IP network has been propsed. The first tier applies a prioritization algorithm for prioritizing real-time packets in the buffer of the gateway with a specified threshold. Packets which couldn’t be served, after the threshold, is given to the nearest cells of the network to be dealt with in the second tier, while Evolutionary Algorithm (EA) based procedures are applied in order to optimally store these packets in the buffer of the base stations. Experiments have been conducted to observe the performance of the proposed models and a comparative study of the models, GA based and PSO based, has been carried out to depict the advantage and disadvantage of the proposed models.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.