Multicasting in Ad-Hoc network based on genetic algorithm approach

مقدم أطروحة جامعية

al-Zaghmuori, Bassam Muhammad

مشرف أطروحة جامعية

al-Shalabi, Riyad

أعضاء اللجنة

al-Shaykh, Isam
al-Qarini, Shihadah
Hattab, Izz al-Din Shakir Hasan

الجامعة

الأكاديمية العربية للعلوم المالية و المصرفية

الكلية

كلية نظم و تكنولوجيا المعلومات

القسم الأكاديمي

قسم نظم المعلومات الحاسوبية

دولة الجامعة

الأردن

الدرجة العلمية

دكتوراه

تاريخ الدرجة العلمية

2011

الملخص الإنجليزي

Throughout this dissertation, a new approach for multicasting in Ad-hoc networks was developed.

This approach is based on two schemes; firstly, a sub-optimal spanning tree of key nodes was built, secondly, the genetic algorithm was used to find this spanning tree.

Actually, finding the optimal spanning tree of dominating or key nodes causes NP-was very hard, therefore, several heuristic approaches have been introduced in order to find a sub-optimal one.

On the other hand, genetic algorithm is designed of individuals each represents distinguishable tree, and could provide means to tackle this problem by searching for a structure of a suitable spanning tree that can be optimized in order to meet the performance indexes related to the multicast problem. Our model was compared with simple flooding, the results showed the ability of our model to reduce broadcast storm problem while simple flooding causes broadcast storm problem with high probability, and reachability factor of our model is very close to the simple flooding.

On the other hand, the complexity of our model is not high compared with the minimum spanning tree technique.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

عدد الصفحات

109

قائمة المحتويات

Table of contents.

Abstract.

Chapter one : Introduction.

Chapter two : Literature review.

Chapter three : Evolutionary computation.

Chapter four : GAM (Genetic algorithm model).

Chapter five : Data simulation and results.

Chapter six : Conclusions and future works.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Zaghmuori, Bassam Muhammad. (2011). Multicasting in Ad-Hoc network based on genetic algorithm approach. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306711

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Zaghmuori, Bassam Muhammad. Multicasting in Ad-Hoc network based on genetic algorithm approach. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences. (2011).
https://search.emarefa.net/detail/BIM-306711

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Zaghmuori, Bassam Muhammad. (2011). Multicasting in Ad-Hoc network based on genetic algorithm approach. (Doctoral dissertations Theses and Dissertations Master). Arab Academy for Financial and Banking Sciences, Jordan
https://search.emarefa.net/detail/BIM-306711

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-306711