A Fuzzy Logic based Efficient Routing Strategy for Ad hoc Cognitive Radio Network
Poonam Chandra Mittal, Chander Kumar Nagpal, Shailender Gupta, Kartikay Garg · International Journal of Future Generation Communication and Networking · 2017
Due to exponential growth in the number of wireless devices, with each one exchanging huge amount of data, requirement for the spectrum in almost all bands has risen very sharply making it a very expensive commodity.The availability of spectrum is limited and its demand is monotonically increasing.To overcome the challenge, a solution has been proposed in the form of Cognitive Radio Network (CRN) which has both primary and secondary users.The primary users (PUs) make use of purchased licensed band while secondary users (SUs) make use of unutilized band of PUs' in the opportunistic manner.Due to their dependency upon the leftover spectrum of PUs, it is a challenging task to ensure reliable and efficient communication between the SUs.The literature contains several protocols to carry out the task but most of these protocols (almost 70%) look for the efficiency relating to a specifically chosen parameter.The other few protocols try to take care of multi-parameter aspect but are unable to manage the scenario in totality wherein a rise in the performance of one/two parameter(s) results in the sharp degradation of other performance parameters.This paper presents a routing protocol for CRN-SUs wherein the multi-parameter optimization has been done using fuzzy rule base.The proposed protocol was simulated using fuzzy tool of Matlab-09.The simulation results show that the proposed protocol is better performer than commonly used spectrum aware shortest path routing scheme employed in ad hoc cognitive radio networks.