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A parallel Implementation on a Multi-core Architecture of a Dynamic Programming Algorithm Applied in Cognitive Radio Ad Hoc Networks.
Author(s):
1. Badr Benmammar: LTT Laboratory, University of Tlemcen, Algeria
2. Youcef Benmouna: LTT Laboratory, University of Tlemcen, Algeria
3. Asma Amraoui: LTT Laboratory, University of Tlemcen, Algeria
4. Francine Krief: LaBRI Laboratory, Bordeaux INP, Talence, France
Abstract:
Spectral resources allocation is a major problem in cognitive radio ad hoc networks and currently most of the research papers use meta-heuristics to solve it. On the other side, the term parallelism refers to techniques to make programs faster by performing several computations in parallel. Parallelism would be very interesting to increase the performance of real-time systems, especially for the cognitive radio ad hoc networks that interest us in this work. In this paper, we present a parallel implementation on a multi-core architecture of dynamic programming algorithm applied in cognitive radio ad hoc networks. Our simulations approve the desired results, showing significant gain in terms of execution time. The main objective is to allow a cognitive engine to use an exact method and to have better results compared to the use of metaheuristics.
Page(s): 196-204
DOI: DOI not available
Published: Journal: International Journal of Communication Networks and Information Security, Volume: 9, Issue: 2, Year: 2017
Keywords:
Keywords are not available for this article.
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