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Hybridisation of genetic algorithm with simulated annealing for vertical-handover in heterogeneous wireless networks

Goudarzi, S. and Hassan, W. H. and Soleymani, S. A. and Anisi, M. H. (2017) Hybridisation of genetic algorithm with simulated annealing for vertical-handover in heterogeneous wireless networks. International Journal of Ad Hoc and Ubiquitous Computing, 24 (1-2). pp. 4-21. ISSN 1743-8225

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Official URL: http://dx.doi.org/10.1504/IJAHUC.2017.080905

Abstract

To provide the seamless mobility in heterogeneous wireless networks two significant methods, Simulated annealing (SA) and genetic algorithms (GAs) are hybrid. In this paradigm, vertical handovers (VHs) are necessary for seamless mobility. In this paper, the hybrid algorithm has the ability to find the optimal network to connect with a good quality of service (QoS) in accordance with the user's preferences. The intelligent algorithm was developed to provide solutions near to real time and to avoid slow and considerable computations according to the features of the mobile devices. Moreover, a cost function is used to sustain the chosen QoS during transition between networks, which is measured in terms of the bandwidth, BER, ABR, SNR and monetary cost. Simulation results presented that choosing the SA rules would minimise the cost function and the GA-SA algorithm could reduce the number of unnecessary handovers, and thereby avoid the 'Ping-Pong' effect.

Item Type:Article
Uncontrolled Keywords:SA, simulated annealing, vertical handovers
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:80374
Deposited By: Narimah Nawil
Deposited On:10 May 2019 15:18
Last Modified:10 May 2019 15:18

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