Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks
Mobility prediction allows estimating the stability of paths in a mobile wireless Ad Hoc networks. Identifying stable paths helps to improve routing by reducing the overhead and the number of connection interruptions. In this paper, we introduce a neural network based method for mobility prediction...
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| Veröffentlicht in: | arXiv.org 2010-04 |
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| creator | Kaaniche, Heni Kamoun, Farouk |
| description | Mobility prediction allows estimating the stability of paths in a mobile wireless Ad Hoc networks. Identifying stable paths helps to improve routing by reducing the overhead and the number of connection interruptions. In this paper, we introduce a neural network based method for mobility prediction in Ad Hoc networks. This method consists of a multi-layer and recurrent neural network using back propagation through time algorithm for training. |
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| language | eng |
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| subjects | Ad hoc networks Back propagation Back propagation networks Multilayers Neural networks Recurrent neural networks Wireless networks |
| title | Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks |
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