چکیده مقاله
This paper addresses the sensor selection problem for cooperative spectrum sensing and primary user tracking in cognitive radio sensor networks An energy efficient cooperative spectrum sensing is proposed which is based on the sensor selection with the constraints on the detection performance and the accuracy of the primary user localization The problem is solved using the genetic algorithm GA Genetic algorithm is one of the nonlinear optimization methods and relatively better option thanks to its efficiency for large scale applications GA defines the sensor in the form of chromosomes and genes and the user’s quality of service needs are given as input to the GA procedure Simulation results indicate that the energy efficiency is improved while the location of the primary user is determined with high accuracy
کلیدواژهها
نویسندگان
Maryam Najimi
Faculty of Electrical and Computer Engineering, University of Science and Technology of Mazandaran USTM , Behshahr, Iran
Haniyeh Kordi
Faculty of Electrical and Computer Engineering, University of Science and Technology of Mazandaran USTM , Behshahr, Iran
شیوه ارجاع
Najimi, Maryam and Kordi, Haniyeh,1396,Energy-Efficient Primary User Tracking Using Genetic Algorithm in Cognitive Sensor Networks,2rd International Conference on Soft Computing,Rudsar
ارائهشده در
مجموعه مقالات دومین کنفرانس ملی محاسبات نرم1 آذر 1396 · رودسر