A GA-FNN based vertical handoff algorithm for heterogeneous wireless networks

Aiming at solving the problem that the existing vertical handoff algorithm for heterogeneous wireless networks based on fuzzy neural network is complex, this paper proposed a genetic algorithm based fuzzy neural network for vertical handoff. This method can be used to simplify the structure of fuzzy neural networks, optimize the initial weights and threshold of the neural network, take more input parameters of the network into consideration easily. Simulation results show that the proposed vertical handoff algorithm can reduce call blocking possibility (CBP) and handoff call dropping possibility (HCDP) of the system, at the same time, improve network utilization.

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