GOM

New Genetic Optimizing Model for broadcasting tree in MANET

Said Elaiwat*, Ammar Alazab, Sitalakshmi Venkatraman, Mamoun Alazab

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

Data broadcasting in a mobile ad-hoc network (MANET) is the main method of information dissemination in many applications, in particular for sending critical information to all hosts. Finding an optimal broadcast tree in such networks is a challenging task due to the broadcast storm problem. The aim of this work is to propose a new genetic model using a fitness function with the primary goal of finding an optimal broadcast tree. Our new method, called Genetic Optimisation Model (GOM) alleviates the broadcast storm problem to a great extent as the experimental simulations result in efficient broadcast tree with minimal flood and minimal hops. The result of this model also shows that it has the ability to give different optimal solutions according to the nature of the network.

Original languageEnglish
Title of host publication2010 2nd International Conference on Computer Technology and Development (ICCTD 2010)
EditorsSafaa S. Mahmoud, Zhang Lian
Place of PublicationPistcataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages477-481
Number of pages5
ISBN (Electronic)9781424488452
ISBN (Print)9781424488438, 9781424488445
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 2nd International Conference on Computer Technology and Development, ICCTD 2010 - Cairo, Egypt
Duration: 2 Nov 20104 Nov 2010

Other

Other2010 2nd International Conference on Computer Technology and Development, ICCTD 2010
CountryEgypt
CityCairo
Period2/11/104/11/10

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