Master Thesis Ns2 Projects

           Master Thesis NS2 Projects is the starting point to gain your desired profession. We offer special training for our scholars to successfully get their daydream of professional career in this competitive world. Our domain wise experts give pioneering and alternative research notions for our post-graduate students and research intellectuals to chosen ultimate project to their academia. Are you eager to acquire our expert’s ideas? Call us. We are happy to help you.

Unique Project Topics in Ns2:

• DC^2-MTCP: Light-Weight Coding for Efficient Multi-Path Transmission in Data Center Network
• QoS performance of IEEE 802.11 in MAC and PHY layer using Enhanced OAR Algorithm
• Simplified node decomposition and platoon head selection: a novel algorithm for node decomposition in vehicular ad hoc networks [Master Thesis NS2 Projects]
• Performance Analysis of Energy Aware Sleep Scheduling Clustered based Routing Protocol using NS2
• A Novel Energy Sleep Mode Based on Standard Deviation ‘ESMSD’Algorithm for Adaptive Clustering in MANETs
• Performance analysis of QOS parameters using MultiMate and multichannel algorithm in wireless multimedia mesh network
• Optimization of Multicast Ad Hoc On-demand Routing Protocol Based on Genetic Algorithm with Backup Paths in MANET
• Multi-objective hybrid artificial bee colony algorithm enhanced with Lévy flight and self-adaption for cloud manufacturing service composition
• A self-organized routing algorithm for cognitive radio-based wireless sensor networks using biologically-inspired method
• Seamless Handover in Heterogeneous Wireless Network Using Cognitive Advisor Based Decision Making Algorithm
• An Energy Efficient Routing and Fault Tolerant Data Aggregation (EERFTDA) algorithm for wireless sensor networks
• A Broadcast Based Random Query Gossip Algorithm for Resource Search in non-DHT Mobile Peer-to-Peer Networks [Master Thesis NS2 Projects]
• Integrated Bloom Filter in Watchdog Algorithm for hybrid black hole attack detection in MANET
• Game theory and fuzzy based back off algorithm for MAC protocol for multi traffic flows in ad hoc networks
• Flexible and Scalable Routing Approach for Mobile Ad Hoc Networks Based on Reinforcement Learning