Anzeige
Erschienen in:
2015 | OriginalPaper | Buchkapitel
Exploiting Neuro-Fuzzy System for Mobility Prediction in Wireless Ad-Hoc Networks
verfasst von : Mohamed Elleuch, Heni Kaaniche, Mohamed Ayadi
Erschienen in: Advances in Computational Intelligence
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Ad-hoc mobile wireless network is characterized by a very dynamic environment. However, the major obstacle to be resolved is to sustain the links of continuity and improved routing performance. In this paper, we propose a predictor based Neuro-fuzzy for the prediction of mobility. It predicts the trajectory of an ad-hoc mobile node in order to improve routing performance by reducing overhead and the number of broken connections. It allows estimating the stability of paths in Ad-Hoc mobile wireless networks. Using an Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the trajectory of an ad-hoc mobile, we demonstrate the effectiveness of the proposed predictor by testing it on a time series prediction problems.