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A Comparative Study of Evolutionary Algorithms for Maximizing Reliability of a Flow in Cellular IP Network

A Comparative Study of Evolutionary Algorithms for Maximizing Reliability of a Flow in Cellular IP Network

Mohammad Anbar, Deo P. Vidyarthi
Copyright: © 2012 |Pages: 11
ISBN13: 9781466602038|ISBN10: 1466602031|EISBN13: 9781466602045
DOI: 10.4018/978-1-4666-0203-8.ch013
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MLA

Anbar, Mohammad, and Deo P. Vidyarthi. "A Comparative Study of Evolutionary Algorithms for Maximizing Reliability of a Flow in Cellular IP Network." Technologies and Protocols for the Future of Internet Design: Reinventing the Web, edited by Deo Prakash Vidyarthi, IGI Global, 2012, pp. 247-257. https://doi.org/10.4018/978-1-4666-0203-8.ch013

APA

Anbar, M. & Vidyarthi, D. P. (2012). A Comparative Study of Evolutionary Algorithms for Maximizing Reliability of a Flow in Cellular IP Network. In D. Prakash Vidyarthi (Ed.), Technologies and Protocols for the Future of Internet Design: Reinventing the Web (pp. 247-257). IGI Global. https://doi.org/10.4018/978-1-4666-0203-8.ch013

Chicago

Anbar, Mohammad, and Deo P. Vidyarthi. "A Comparative Study of Evolutionary Algorithms for Maximizing Reliability of a Flow in Cellular IP Network." In Technologies and Protocols for the Future of Internet Design: Reinventing the Web, edited by Deo Prakash Vidyarthi, 247-257. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0203-8.ch013

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Abstract

The rapid development in technology, witnessed in daily communication, especially in wireless communication, is a good motivation for performance improvement in this field. Cellular IP access network is a suitable environment where a micro mobility of mobile users is implemented and managed. The reliability of Cellular IP network during the communication is an important characteristic measure and must be considered while designing a new model. Evolutionary Algorithms are powerful tools for optimization and problem solving, which require extracting the best solution from a big search space. This chapter explores the reliability issue in Cellular IP of a flow of packets passing through the route from a source to a destination. The main aim of the chapter is to maximize the reliability of the flow passing through a route having number of routers. Two Evolutionary Algorithms (EAs), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), have been used for this purpose, and a comparative study between the two is performed. Experimental studies of the proposed work have also been performed.

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