Mobile Ad-Hoc Networks are used for data transfer. The nodes of such
networks do not require presetting. They are characterized by dynamic
data transfer during their movement of the nodes. MANET could be
targeted by potential security breaches. Bl
ack hole attack is one of the
serious attacks targeting wireless AD_HOC networks through a false
point whichcan absorb data and send them to another place or neglect
them. This is due to the lack of central control node which is able to
manage communications. This research investigates the effects of the
black hole on the performance of hybrid routing protocol Temporally
Ordered Routing Algorithm (TORA) and proactive routing protocol
Optimized Link State Routing (OLSR) for a variable number of mobile
nodes in different speeds in a high load environment.
في هذا المشروع سوف نستثمر مجموعظة من الأدوات الرياضية من خوارزميات تعلم الآلة machine learning و الأمثلة المحدبة convex optimization و "النماذج الاحتمالية البيانية" probabilistic graphical model في إطار "الشبكات المعرفية" cognitive networking وذلك
لأمثلة optimize أنواع مختلفة من الشبكات اللاسلكية مثل: شبكات الحساسات اللاسلكية WSN ، و الشبكات التكتيكية الهجينة
tactical networks ، و الشبكات المحلية اللاسلكية WLAN . تتمثل "الشبكات المعرفية" في تطبيق "معرفة"
cognition على كامل مكدس البروتوكولات protocol stack لتحقيق أهداف الأداء، بخلاف "الراديو المعرفي"
cognitive radio الذي يطبق المعرفة فقط على الطبقة الفيزيائية.
Wireless networks suffer from frequent loss of packets for many reasons such as
interference, collision and fading. This makes wireless medium unreliable medium for data
transfer. The main methods for ensuring the reliability in this medium are usi
ng
transmission control protocol (TCP) and the automatic repeat request (ARQ). Recently,
network coding has been found as new technology that changes the traditional forwarding
method (Store- and- Forward) in the networks to more effective and intelligent method
(Code- and- Forward), which contributes to the increase of both capacity and throughput of
these networks.
In this research, random linear network coding is used as promising technology that
aims to achieve the reliable transfer of data in losing wireless networks, and studying the
enhancement that this technology presents to the performance of these networks in unicast
and multicast transmission. For evaluating the efficiency of this technology and comparing
its performance with the performance of reliable transfer protocols, we use the networks
simulator (NS3). Simulation results showed that random linear network coding achieve the
reliable transfer of data with bigger throughput and less delay and number of transmission
compared with the protocols (TCP, ARQ).
Wireless Broadband is the meeting point between two of the most important growth stories in telecommunications industry . The broadband technologies have achieved great success in recent years , which is the same thing that happened with wireless com
munication technologies
