Please use this identifier to cite or link to this item:
|Title:||A novel adaptive routing protocol for manets using reinforcement learning and CMAC||Authors:||CHETRET DAVID LOUIS CHARLES||Keywords:||Adaptive Routing MANET Reinforcement Learning CMAC||Issue Date:||29-May-2009||Citation:||CHETRET DAVID LOUIS CHARLES (2009-05-29). A novel adaptive routing protocol for manets using reinforcement learning and CMAC. ScholarBank@NUS Repository.||Abstract:||This thesis deals with Mobile Ad Hoc Networks. A novel routing scheme, which combines the on-demand routing capability of Ad Hoc On-Demand Vector (AODV) routing protocol with a Q-routing inspired route selection mechanism, is proposed. The scheme makes routing choices based on local information (such as mobility, power remaining at the neighboring nodes) and past experience. The CMAC (Cerebellar Model Articulation Controller) function approximator is used to accelerate the reinforcement learning. The scheme is effective in improving end-to-end delay, without requiring much of the limited network resources.||URI:||http://scholarbank.nus.edu.sg/handle/10635/28327|
|Appears in Collections:||Master's Theses (Open)|
Show full item record
Files in This Item:
|Thesis21mar09.pdf||5.85 MB||Adobe PDF|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.