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

Goudarzi, Shidrokh and Hassan, Wan Haslina and Soleymani, Seyed Ahmad and Anisi, Mohammad Hossein (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). 4 - 21. ISSN 1743-8225

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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
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 09 Nov 2018 16:05
Last Modified: 09 Nov 2018 16:05
URI: http://repository.essex.ac.uk/id/eprint/23445

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