期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：9
页码：222-228
出版社：Science and Information Society (SAI)
摘要：One of the major culprits that faces Mobile Ad-hoc
networks (MANET) is broadcasting, which constitutes a very
important part of the infrastructure of such networks. This
paper presents a nested genetic algorithm (GA) technique with
fuzzy logic-based fitness that optimizes the broadcasting
capability of such networks. While normally the optimization of
broadcasting is considered as a multi-objective problem with
various output parameters that require tuning, the proposed
system taps another approach that focuses on a single output
parameter, which is the network reachability time. This is the
time required for the data to reach a certain percentage of
connected clients in the network. The time is optimized by tuning
different decision parameters of the Delayed Flooding with
Cumulative Neighborhood (DFCN) broadcasting protocol. The
proposed system is developed and simulated with the help of the
Madhoc network simulator and is applied on different realistic
real-life scenarios. The results reveal that the reachability time
responds well to the suggested system and shows that each
scenario responds differently to the tuning of decision
parameters.
