Optimized multicast routing algorithm based on tree structure in MANETs - 2014


Mobile Ad hoc Networks (MANETs) play an important role in emergency Communications where network needs to be constructed temporarily and quickly. Since the nodes move randomly, routing protocols must be highly effective and reliable to guarantee successful packet delivery. Based on the data delivery structure, most of the existing multicast routing protocols can be classified into two folders: tree-based and mesh-based. We observe that tree-based ones have high forwarding efficiency and low consumptions of bandwidth, and they may have poor robustness because only one link exists between two nodes. As a tree-based multicast routing protocol, MAODV (Multicast Ad hoc On-demand Vector) shows an excellent performance in lightweight ad hoc networks. As the load of network increases, QoS (Quality of Service) is degraded obviously. In this paper, we analyze the impact of network load on MAODV protocol, and propose an optimized protocol MAODV-BB (Multicast Ad hoc On-demand Vector with Backup Branches), which improves robustness of the MAODV protocol by combining advantages of the tree structure and the mesh structure. It not only can update shorter tree branches but also construct a multicast tree with backup branches. Mathematical analysis and simulation results both demonstrate that the MAODV-BB protocol improves the network performance over conventional MAODV in heavy load ad hoc networks.

Did you like this research project?

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

PROJECT TITLE : Optimized Distributive Cross-Layer and Thermal-Aware Convergecast Protocol for Wireless Body Area Network ABSTRACT: Traditional patient-doctor relationships have been significantly reshaped by the Internet of
PROJECT TITLE : A Novel Method for Creating an Optimized Ensemble Classifier by Introducing Cluster Size Reduction and Diversity ABSTRACT: Within the scope of this research project, a novel approach to generating an improved
PROJECT TITLE :Optimized Update/Prediction Assignment for Lifting Transforms on Graphs - 2018ABSTRACT:Transformations on graphs will give compact representations of signals with many applications in denoising, feature extraction,
PROJECT TITLE :High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models - 2018ABSTRACT:Minimum variance distortionless response (MVDR) beamforming (or Capon beamforming) is among the foremost
PROJECT TITLE :Systematic Design of an Approximate Adder: The Optimized Lower Part Constant-OR Adder - 2018ABSTRACT:Exploiting the tradeoff between accuracy and hardware cost incorporates a tremendous potential to boost the efficiency

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

Project Enquiry