Performance Comparison of Routing Protocols for Cognitive Radio Networks


Cognitive radio networks (CRNs) have emerged as a promising resolution to the ever-growing demand for added spectrum resources and additional economical spectrum utilization. A giant variety of routing protocols for CRNs are proposed recently, every based on completely different design goals, and evaluated in numerous situations, under completely different assumptions. But, very little is thought about the relative performance of of these protocols, plus the tradeoffs among their totally different style goals. In this paper, we have a tendency to conduct the first detailed, empirical performance comparison of three representative routing protocols for CRNs, below the identical realistic set of assumptions. Our intensive simulation study shows that the performance of routing protocols in CRNs is full of a range of things, in addition to PU activity, some of that are largely ignored by the majority of previous works. We have a tendency to notice that totally different protocols perform well below totally different eventualities, and investigate the causes of the observed performance. Furthermore, we have a tendency to gift a generic software design for the experimental evaluation of CRN routing protocols on a testbed primarily based on the USRP2 platform, and compare the performance of 2 protocols on a half-dozen node testbed. The testbed results ensure the findings of our simulation study.

Did you like this research project?

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

PROJECT TITLE :Performance Improvement of Grid Integrated SolarPV System using DNLMS Control AlgorithmABSTRACT:An integration of renewable sources based distributed generating systems encounters various power quality issues because
PROJECT TITLE :A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs - 2018ABSTRACT:Accurately predicting students' future performance based on their ongoing academic records is crucial
PROJECT TITLE :CaL: Extending Data Locality to Consider Concurrency for Performance Optimization - 2018ABSTRACT:Massive information applications demand a higher memory performance. Information Locality has been the main target
PROJECT TITLE :Performance Analysis of Sequential Detection of Primary User Number Based on Multihypothesis Sequential Probability Ratio Test - 2018ABSTRACT:In cognitive radio networks, a priori data on the quantity of primary
PROJECT TITLE :Performance Analysis of a New Calibration Method for Fiber Nonlinearity Compensation - 2018ABSTRACT:Digital signal processing for fiber nonlinearity compensation could be a key enabler for the ever-increasing demand

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

Project Enquiry