Open AccessSensing period adaptation for multiobjective optimisation in cognitive radio using Jaya algorithm
Author(s) -
Kaur A.,
Sharma S.,
Mishra A.
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2017.2548
Subject(s) - cognitive radio , computer science , cognition , adaptation (eye) , algorithm , period (music) , real time computing , telecommunications , psychology , wireless , acoustics , neuroscience , physics
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.