ABOUT IEEE NS2 PROJECT 2016-2017
Welcome to Real Time Project Center in Chennai, your trusted partner in the world of technology and innovation. We take pride in offering a diverse array of 2016-2017 NS2 projects, aimed at helping students and professionals explore the vast potential of NS2 technology.
NS2, or Network Simulator 2, is a renowned open-source network simulation tool that empowers researchers and developers to explore networking concepts and solutions. At Real Time Project Center, we harness the full power of NS2 to craft projects that are both academically enriching and practically relevant, ensuring that participants gain valuable insights into networking technology.
Our extensive collection of 2016-2017 NS2 projects encompasses a wide range of networking domains, including wireless networks, ad-hoc networks, sensor networks, and more. Each project adheres to industry standards and is meticulously guided by experts with years of experience in network simulation. Whether you are a student fulfilling academic requirements or a professional looking to advance your networking skills, our projects cater to diverse needs.
At Real Time Project Center, we believe in learning by doing. Our NS2 projects offer participants a hands-on learning experience, allowing them to simulate and analyze real-world network scenarios. We provide state-of-the-art infrastructure and expert guidance to ensure participants grasp the nuances of NS2 technology and its practical applications.
Our team of experienced instructors and mentors are dedicated to your success. When you choose our 2016-2017 NS2 projects, you gain access to expert guidance and support throughout your project journey. Whether you need assistance with project selection, implementation, or troubleshooting, our experts are here to assist you at every step.
Join us at Real Time Project Center in Chennai and embark on a transformative journey toward networking excellence. Our 2016-2017 NS2 projects open doors to exciting possibilities in the world of networking technology. Explore our project offerings, enroll today, and take the first step toward a successful career in NS2-based project development. Discover the potential with us now!
IEEE NS2 PROJECT LIST 2016-2017
| SNO | Projects List |
|---|---|
| 1 | Opportunistic Routing With Congestion Diversity in Wireless Ad Hoc Networks |
| 2 | Cluster-Based Routing for the Mobile Sink in Wireless Sensor Networks With Obstacles |
| 3 | Dynamic Cluster Head Selection Method for Wireless Sensor Network |
| 4 | A Fuzzy Logic-Based Clustering Algorithm for WSN to Extend the Network Lifetime |
| 5 | Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks |
| 7 | Mobile Demand Profiling for Cellular Cognitive Networking |
| 8 | Neighbor-Aided Spatial-Temporal Compressive Data Gathering in Wireless Sensor Networks |
| 9 | Auction-Based Data Gathering Scheme for Wireless Sensor Networks |
| 10 | Energy-Efficient Resource Allocation for Device-to-Device Communications Overlaying LTE Networks |
| 11 | ART An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks |
| 12 | Energy-Efficient Localization and Tracking of Mobile Devices in Wireless Sensor Networks |
| 13 | An implementation of optimal dynamic load balancing based on multipath IP routing |
| 14 | Congestion aware load balancing for multi-radio wireless mesh network |
| 15 | Load Balanced Clustering Technique in MANET using Genetic Algorithms |
| 16 | Load balancing based approach to improve the lifetime of wireless sensor network |
| 17 | Device-to-Device Millimeter-Wave Communications Interference, Coverage, Rate, and Finite Topologies |
| 18 | Distributed algorithms for spectrum sharing in cognitive radio networks |
| 19 | Geographic and Opportunistic Routing for Underwater Sensor Networks |
| 20 | Malicious Node Detection in Wireless Sensor Networks Using an Autoregression Technique |
| 21 | Opportunistic Routing With Congestion Diversity in Wireless Ad Hoc Networks |
| 22 | Replica Node Detection Using Enhanced Single Hop Detection with Clonal Selection Algorithm in Mobile Wireless Sensor Networks |
