Intelligent MANET Routing Optimizer

被引:1
|
作者
Saeed, N. H. [1 ]
Abbod, M. F. [1 ]
Al-Raweshidy, H. S. [1 ]
Raoof, O. [1 ]
机构
[1] Brunel Univ, Sch Engn & Design, WNCG, Uxbridge UB8 3PH, Middx, England
关键词
Ad hoc networks; neuro-fuzzy modeling; Particle Swarm algorithm and intelligent network;
D O I
10.1109/BROADNETS.2008.4769107
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In Mobile Ad Hoc Network (MANET) many routing protocols exist, which are capable of routing data packets from source to destination. Each protocol is designed to fulfill its requirement; the constant network context (i.e. number of nodes, mobility, etc); but network context could be changed during the running time which affects the protocol performance and reduces its efficiency. In this paper, a MANET routing optimizer is presented which is capable of selecting the network context and the routing protocol. The optimizer is capable of choosing the optimum routing protocol according to network's context and give the optimum network context for the current network situation. It is adaptable of introducing alterations in the network environment by foretelling four important parameters that indicate the changes in the network context.
引用
收藏
页码:359 / 365
页数:7
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