A parallel implementation on a multi-core architecture of a dynamic programming algorithm applied in cognitive radio ad hoc networks
DOI:
https://doi.org/10.17762/ijcnis.v9i2.2354Abstract
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 meta-heuristics.Downloads
Published
2017-06-25 — Updated on 2022-04-17
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- 2022-04-17 (2)
- 2017-06-25 (1)
How to Cite
Benmammar, B., Benmouna, Y., Amraoui, A., & Krief, F. (2022). A parallel implementation on a multi-core architecture of a dynamic programming algorithm applied in cognitive radio ad hoc networks. International Journal of Communication Networks and Information Security (IJCNIS), 9(2). https://doi.org/10.17762/ijcnis.v9i2.2354 (Original work published June 25, 2017)
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Research Articles