A bio-inspired approach for the spectrum allocation problem in IoT networks
| Autor: | Anabel Martínez-Vargas, Jesús A. Gómez-Avilés, Ángel G. Andrade |
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| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Optimization problem business.industry Computer science Computer Science::Neural and Evolutionary Computation Monte Carlo method 0102 computer and information sciences 02 engineering and technology 01 natural sciences Frequency allocation Artificial bee colony algorithm 010201 computation theory & mathematics Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Internet of Things business |
| Zdroj: | GECCO Companion |
| Popis: | This paper addresses the spectrum allocation optimization problem for the Internet of Things. We aim to achieve maximum signal-to-interference ratio and attended active devices. To overcome this, we apply a binary particle swarm optimization algorithm, a genetic algorithm, and an artificial bee colony algorithm. To compare the results obtained from those bio-inspired algorithms, we use Monte Carlo simulation, which is a classical method that is usually applied to solve this type of problem. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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