PhD Thesis in NS2

Decentralized Localization Register – PhD Thesis in NS2:

We provide mobile communication network to enhance multimedia service for various clients. We store multimedia data in Decentralized location registration. In mobile communication, for every mobile unit information delivery cost are increased because distance among central storage office and mobile unit is large.

We use DLR in communication network to reduce cost and increase network efficiency. To adopt DLR we use methods called authentication method (or) Decentralized mobile control center in academic projects.

Hybrid Mobile Communication Network – PhD Thesis Topics in NS2:

We implement hybrid mobile communication network to identify the Radio frequency and network performance. This network composed of space based communication assets interconnected to ground based internets and planetary surface based mobile wireless network.

We use backbone protocol in Hybrid network to increase coverage range with two repeaters. We ensure RF domain field with combination of network performance design and optimizing future hybrid mobile Networks.

Route Cause of Failure Problem in Network – PhD Thesis Topics in NS2:

In communication networks, networks are more dependent on power infrastructure and network efforts are used to improve communication network robustness. We handle route cause failure by power infrastructure in network communication.

This failure cause and create interdependent power process in communication network. To enhance power strategy we use network energy based routing algorithm and inter communication based power algorithm are implemented to increase power strategy.

Multi Cluster System – PhD Thesis in NS2 Simulation:

We used multi cluster system in more than 80 projects to represent an effective infrastructure which enhance cost effective and high performance communication. Traffic generations in real world applications are retrieved by spatial and temporal domain.

We analyze spatio temporal bursty traffic for communication network in multi cluster system. We capture spatio traffic busty by temporal traffic and communication locality by markov modeled Poisson process. Evaluation of model accuracy is computed by investigating bursty message arrivals and communication network performance.

By traffic theory approach we adopt information for wireless and heterogeneous network.