Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks

Abstract

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.

Heni Kaaniche and Farouk Kamoun, "Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks", Journal of Telecommunications, Volume 2, Issue 1, p95-101, April 2010