A hybrid swarm intelligence approach to the registration area planning problem

dc.contributor.author Chaurasia, Sachchida Nand
dc.contributor.author Singh, Alok
dc.date.accessioned 2022-03-27T05:55:30Z
dc.date.available 2022-03-27T05:55:30Z
dc.date.issued 2015-05-01
dc.description.abstract Proper management of locations of the mobile devices is of great importance in this era of wireless communication networks, as the use of the mobile devices has grown exponentially. The registration area planning (RAP) problem aims to group the wireless network cells into contiguous areas called registration areas in order to minimize the cost of managing the location of mobile devices. Since the RAP problem is a grouping problem, therefore, a grouping-based artificial bee colony algorithm coupled with a local search is developed for this problem. An artificial bee colony algorithm is a recently developed swarm intelligence technique based on the intelligent foraging behavior of honey bee swarm. We have compared the proposed approach with the state-of-the-art approaches available in the literature. Computational results clearly show the superiority of the proposed approach in comparison to these approaches in terms of both the solution quality and the running time.
dc.identifier.citation Information Sciences. v.302
dc.identifier.issn 00200255
dc.identifier.uri 10.1016/j.ins.2015.01.012
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S0020025515000341
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8793
dc.subject Artificial bee colony algorithm
dc.subject Cellular wireless communication networks
dc.subject Heuristic
dc.subject Registration area planning
dc.subject Swarm intelligence
dc.title A hybrid swarm intelligence approach to the registration area planning problem
dc.type Journal. Article
dspace.entity.type
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description: