Performance Analysis of Network Coding With Virtual Overhearing in Wireless Networks


Because of the broadcast nature of wireless channels, overhearing plays an important role in interflow network coding in that it serves as a manner to accumulate the facet info for the decoding of network-coded packets. Since overhearing solely takes impact in the one-hop neighborhood of nodes, it, in flip, restricts the identification of network coding opportunities. That's, if the aspect info for packet decoding can not be overheard, no coding opportunity will be identified. Hence, in this paper, we have a tendency to aim to relax such a restriction to additional explore network coding opportunities. Specifically, we tend to propose a virtual overhearing (VOH) technique to enable network coding when the aspect info can not be obtained from traditional overhearing previously mentioned. VOH allows a node to obtain a packet sent by another node that may be 2 or a lot of hops away. Consequently, VOH will function a supplementary way for aspect information acquirement, thus still enabling network coding between network flows when traditional overhearing is not possible to get the needed aspect data. The additional coding opportunities brought by VOH can be translated into further performance gains. We first analyze network coding with VOH in a simple topology and show that with VOH, network capacity may be improved by over 12% (in some situations, network throughput might be improved by 50%). Then, we have a tendency to conduct simulations in NS-2 to show the advantage of VOH.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Comparing Different Resampling Methods in Predicting Students Performance Using Machine Learning Techniques ABSTRACT: Predicting students' performance is one of the most valuable and important research areas in
PROJECT TITLE : Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification ABSTRACT: The problem of unbalanced data is common in network intrusion detection, spam filtering,
PROJECT TITLE : Deep Neural Networks Improve Radiologists Performance in Breast Cancer Screening ABSTRACT: To classify mammograms for breast cancer screening, we developed a deep convolutional neural network that was trained and
PROJECT TITLE : Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality ABSTRACT: Research into how image quality impacts work performance is a hot topic in many industries. The security X-ray
PROJECT TITLE : A Novel Control Scheme for Enhancing the Transient Performance of an Islanded Hybrid AC-DC Microgrid ABSTRACT: In this research, we present an innovative supplementary feature for increasing the transient performance

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry