Abstract
In heterogeneous networks, vertical handover decision is a significant issue due to increasing demand of customers to access various service features among them. In order to provide a seamless transfer between various technologies, the effect of various user preference metrics and network conditions needs to be considered. This paper proposes a multilayer feedforward artificial neural network algorithm for handover decision in wireless heterogeneous networks. Neural network aids in taking the handover and selection of best candidate based on data rate, service cost, received signal strength indicator (RSSI) and velocity of mobile device. Experimental results show an improvement in reducing number of handover effectively as compared to other existing systems. It is found that probability of handover decision is also improved.
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Mahira, A.G., Subhedar, M.S. (2017). Handover Decision in Wireless Heterogeneous Networks Based on Feedforward Artificial Neural Network. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_63
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DOI: https://doi.org/10.1007/978-981-10-3874-7_63
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