PROJECT TITLE :

Joint Routing and Medium Access Control in Fixed Random Access Wireless Multihop Networks - 2014

ABSTRACT:

We study cross-layer design in random-access-based fixed wireless multihop networks under a physical interference model. Due to the complexity of the problem, we consider a simple slotted ALOHA medium access control (MAC) protocol for link-layer operation. We formulate a joint routing, access probability, and rate allocation optimization problem to determine the optimal max-min throughput of the flows and the optimal configuration of the routing, access probability, and transmission rate parameters in a slotted ALOHA system. We then also adapt this problem to include an XOR-like network coding without opportunistic listening. Both problems are complex nonlinear and nonconvex. We provide extensive numerical results for both problems for medium-size mesh networks using an iterated optimal search technique. Via numerical and simulation results, we show that: 1) joint design provides a significant throughput gain over a default configuration in slotted-ALOHA-based wireless networks; and 2) the throughput gain obtained by the simple network coding is significant, especially at low transmission power. We also propose simple heuristics to configure slotted-ALOHA-based wireless mesh networks. These heuristics are extensively evaluated via simulation and found to be very efficient.


Did you like this research project?

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


PROJECT TITLE : CANet Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading ABSTRACT: One in three people who are working-age and have diabetes will go blind due to diabetic retinopathy
PROJECT TITLE : Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds ABSTRACT: By integrating the properties of local and non-local manifolds that offer low-dimensional parameterizations
PROJECT TITLE : Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations ABSTRACT: Many real-world applications make heavy use of depth information. In practise, however, depth maps tend to have a lower
PROJECT TITLE : Graph-based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images ABSTRACT: The lossy compression of JPEG images results in images with low contrast and coarse quantization artefacts in low-light
PROJECT TITLE : Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis ABSTRACT: For digital entertainment and police enforcement, face sketch synthesis is a critical issue It's

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

Project Enquiry