A Lagrangian approach for determining congestion control in cognitive radio ad hoc networks
Saleem Sheik Aalam, R. Manimarn, S. Syed Abuthahir, DeepakKumar Nayak · 2016
In recent era of communication, limitation of the spectral resource has increased rapidly. Cognitive radio ad-hoc networks (CRAHNs) are an intelligent network which provides a good solution for effective utilization of the spectrum opportunities. In cognitive radios different research directions are identified like spectrum sensing, sharing, handover, and routing. This research directs the problems in routing of CRAHNS; particularly this research provides the optimum solution for traffic management in CRAHNS. Obtaining the optimum solution this work analyzes Jackson and Feller theorem equations further to make it more efficient, the Lagrangian multiplier approach is utilized, and some unique mathematical expressions are derived for computing the minimum value of the congestion of the available paths of the CRAHNs. The MATLAB simulation is conducted and the results show that the proposed expressions are obtained optimum congestion value and the best path is opted based on the vale for transferring of data.