Paper Info
Title
Using heuristic algorithms for capacity leasing and task allocation issues in telecommunication networks under fuzzy quality of service constraints
Abstract
Nowadays, every firm uses telecommunication networks in different amounts and ways in order to complete their daily operations. In this article, we investigate an optimisation problem that a firm faces when acquiring network capacity from a market in which there exist several network providers offering different pricing and quality of service QoS schemes. The QoS level guaranteed by network providers and the minimum quality level of service, which is needed for accomplishing the operations are denoted as fuzzy numbers in order to handle the non-deterministic nature of the telecommunication network environment. Interestingly, the mathematical formulation of the aforementioned problem leads to the special case of a well-known two-dimensional bin packing problem, which is famous for its computational complexity. We propose two different heuristic solution procedures that have the capability of solving the resulting nonlinear mixed integer programming model with fuzzy constraints. In conclusion, the efficiency of each algorithm is tested in several test instances to demonstrate the applicability of the methodology.
Year
DOI
Venue
2014
10.1080/00207721.2012.720298
Int. J. Systems Science
Keywords
DocType
Volume
network capacity,different pricing,aforementioned problem,telecommunication network environment,telecommunication network,qos level,capacity leasing,task allocation issue,different amount,different heuristic solution procedure,service constraint,optimisation problem,heuristic algorithm,network provider,fuzzy quality
Journal
45
Issue
ISSN
Citations 
3
0020-7721
2
PageRank 
References 
Authors
0.35
22
3
Name
Order
Citations
PageRank
Hasan Huseyin Turan150.72
Nihat Kasap2496.92
Huseyin Savran320.35