A hybrid mutation artificial bee colony algorithm for spectrum sharing Online publication date: Fri, 28-Sep-2018
by Ling Huang; Jiaqi Liu; Lin Guo
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 12, No. 3, 2018
Abstract: In order to alleviate the spectrum scarcity problem in wireless networks, achieve efficient allocation of spectrum resources and balance the users' permission to spectrum, a hybrid mutation artificial bee colony algorithm based on the artificial bee colony algorithm is presented. The presented algorithm aims to enhance the efficiency of global searching by improving the way of leaders searching the nectar source with differential evolution algorithm. In addition, the onlookers' searching method is improved by bat algorithm to guarantee the convergence efficiency of the algorithm and the precision of the result and it is assumed that the onlookers are equipped with bats' echolocation to get close to the nectar source by adjusting the rate of pulse emission and loudness when they are searching nectar source. The simulation results show that the proposed algorithm has faster convergence, higher efficiency and more optimal solutions compared with other algorithms.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of High Performance Computing and Networking (IJHPCN):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook