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Call Admission Control Using Bio-Geography Based Optimization

Call Admission Control Using Bio-Geography Based Optimization

Sanchita Ghosh, Amit Konar
Copyright: © 2015 |Volume: 6 |Issue: 1 |Pages: 23
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466677494|DOI: 10.4018/IJAEC.2015010103
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MLA

Ghosh, Sanchita, and Amit Konar. "Call Admission Control Using Bio-Geography Based Optimization." IJAEC vol.6, no.1 2015: pp.49-71. http://doi.org/10.4018/IJAEC.2015010103

APA

Ghosh, S. & Konar, A. (2015). Call Admission Control Using Bio-Geography Based Optimization. International Journal of Applied Evolutionary Computation (IJAEC), 6(1), 49-71. http://doi.org/10.4018/IJAEC.2015010103

Chicago

Ghosh, Sanchita, and Amit Konar. "Call Admission Control Using Bio-Geography Based Optimization," International Journal of Applied Evolutionary Computation (IJAEC) 6, no.1: 49-71. http://doi.org/10.4018/IJAEC.2015010103

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Abstract

The chapter proposes a new approach to call admission control in a mobile cellular network using Bio-geography based optimization. Existing algorithms on call admission control either ignore both variation in traffic conditions or velocity of mobile devices, or at most consider one of them. This chapter overcomes the above problems jointly by formulating call admission control as a constrained optimization problem, where the primary objective is to minimize the call drop under dynamic condition of the mobile stations, satisfying the constraints to maximize the channel assignment and minimize the dynamic traffic load in the network. The constrained objective function has been minimized using Bio-geography based optimization. Experimental results and computer simulations envisage that the proposed algorithm outperforms most of the existing approaches on call admission control, considering either of the two issues addressed above.

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