Hybridisation of genetic algorithm with simulated annealing for vertical-handover in heterogeneous wireless networks
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 t...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Inderscience Enterprises Ltd.
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/80374/ http://dx.doi.org/10.1504/IJAHUC.2017.080905 |
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| Summary: | 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. |
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