Sensing period adaptation for multiobjective optimisation in cognitive radio using Jaya algorithm
Avneet Kaur, Surbhi Sharma, Amit Kumar Mishra · Electronics Letters · 2017
Adaptation of sensing period for licensed channel is one of the key requirements to maximise the utilisation of transmission opportunities by a secondary user. A novel objective function evaluation method for sensing period optimisation in cognitive radio network is formulated. A recently introduced optimisation technique, namely Jaya algorithm has been used for achieving the optimum value of sensing period in order to maximise the discovery of spectrum opportunities while maintaining the sensing overhead and interference time within user defined value. This multiobjective optimisation problem involving different constraints is solved using an objective function that introduces penalty for violation of constraints. Results show that the proposed scheme leads to quick adaptation and efficient discovery of spectrum opportunities while satisfying the different QoS constraints, thus making it a better choice for real‐time applications.