Mobility Prediction in Wireless Ad Hoc Networks using Neural Networks

Autor:	Kaaniche, Heni, Kamoun, Farouk
Rok vydání:	2010
Předmět:	Computer Science - Neural and Evolutionary Computing
Zdroj:	Journal of Telecommunications, Volume 2, Issue 1, p95-101, April 2010
Druh dokumentu:	Working Paper
Popis:	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. Comment: 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
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1004.4610 Zobrazit plný text záznamu View this record from Arxiv