Unicast Quality of Service Routing in Mobile Ad Hoc Networks Based on Neuro-fuzzy Agents

被引：0
作者：
Budyal, V. R. [1 ]
Manvi, S. S. [2 ]
Hiremath, S. C. [3 ]
机构：
[1] Basaveshwar Engn Coll, Bagalkot, India
[2] Reva Inst Technol & Management, Bangalore, Karnataka, India
[3] G. M. Inst Technol, Dept Elect & Commun Engn, Davanagere, India
来源：
INFORMATION TECHNOLOGY AND MOBILE COMMUNICATION | 2011年 / 147卷
关键词：
mobile ad hoc networks; routing; neuro-fuzzy; software agents;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This position paper presents Quality of Service (QoS) routing model in Mobile Ad hoc Networks (MANETs) by using software agents that employ fuzzy logic and neural networks for intelligent routing. It uses Dynamic Source Routing (DSR) in MANETs to find various paths and attributes. Fuzzy static agents decide whether each node on the path satisfies QoS requirement for multimedia application. The static neuro-fuzzy agents are used for training and learning to optimize the input and output fuzzy membership functions according to user requirement, and Q-learning (reinforcement learning) static agent is employed for fuzzy inference instead of experts experience. Mobile agents are used to maintain and repair the paths.
引用
收藏
页码：375 / +
页数：2
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