Mobile ad-hoc networks (MANET) are one of wireless networks implementation.
MANET is very popular technology initially based on military purposes.
Specific modifications of MANET created a possibility to implement several
new wireless networks. One of them is a wireless mesh network (WMN). Over the
last ten years, WMNs have gained more and more attention and are now
considered as a convincing solution for providing better Internet access
services for end users. WMN is an emerging technology that offers a
cost-effective and scalable method to connect wireless devices. The main
problem in WMNs is a routing protocol, especially because it has to enable
the access to network for both mesh and conventional clients. Most of the
existing ad hoc routing protocols use minimum hop-count as a metric for
identifying the best packet routes. This paper presents neural network based
approach to routing protocol for WMN. Neural networks are capable to analyze
very complex network environments and solve routing problems on optimal (or
almost optimal) way.
New algorithm for packet routing in mobile ad-hoc networks