Title | ||
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Improved decomposition-based multi-objective cuckoo search algorithm for spectrum allocation in cognitive vehicular network |
Abstract | ||
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The allocation of spectrum resources efficiently and equitably in dynamic cognitive vehicular networks is more challenging than static cognitive networks. Currently, most spectrum allocation algorithms are on the basis of a fixed network topology, thereby ignoring the mobility of cognitive vehicular users (CVUs), timeliness of licensed channels, and uncertainty of spectrum sensing in complex environments. In this paper, a cognitive vehicular network spectrum allocation model for maximizing the network throughput and fairness is established considering these factors. A rapid convergence, improved performance algorithm for solving this multi-objective problem is necessary to adapt to a dynamic network environment. Therefore, an improved decomposition-based multi-objective cuckoo search (MOICS/D) algorithm is proposed. This algorithm integrates a decomposition-based multi-objective optimization framework and an improved CS algorithm. The multi-objective problem is decomposed into multiple scalar sub-problems with different weight coefficients, and the cuckoo algorithm with adaptive steps is used to optimize these sub-problems simultaneously. Simulation results show that the MOICS/D algorithm has faster and more stable convergence than the MOEA/D and NSGA-II algorithms and can improve the throughput and fairness of the network. |
Year | DOI | Venue |
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2019 | 10.1016/j.phycom.2018.06.003 | Physical Communication |
Keywords | Field | DocType |
Cuckoo search algorithm,Cognitive vehicular networks,Spectrum allocation,Multi-objective optimization | Convergence (routing),Dynamic network analysis,Computer science,Algorithm,Cuckoo search,Network topology,Throughput,Frequency allocation,Vehicular ad hoc network,Cognitive network | Journal |
Volume | ISSN | Citations |
34 | 1874-4907 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ruining Zhang | 1 | 0 | 0.34 |
Xue-Mei Jiang | 2 | 25 | 4.03 |
Ruifang Li | 3 | 1 | 1.06 |