2022
DOI: 10.31197/atnaa.1095309
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Evaluation of PSO Algorithm Considering Obstacle Avoidance in Evacuation Guidance

Abstract: In recent years, IoT has been expected to provide support during natural disasters, and studies focusing on ant colony optimization (ACO) have been conducted for providing evacuation routes for evacuees. We previously proposed a modied algorithm for ACO that improved on the slow convergence of ACO, but the problem with ACO-based evacuation is the time it takes the evacuees to reach a safe zone.In this study, we proposed a route suggestion algorithm that improves particle swarm optimization (PSO) to reduce the … Show more

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“…In this experiment, the topology was configured to simulate scenarios with high population density, such as suburban areas near an urban centers. An analogous situation to present MANET usage is during emergencies, like disaster scenarios, where users equipped with mobile terminals adhere to specific movement protocols [24,25]. In such constrained and time-sensitive data acquisition situations, low latency communication emerges as a crucial factor, making method proposed in this study highly effective.…”
Section: Future Workmentioning
confidence: 99%
“…In this experiment, the topology was configured to simulate scenarios with high population density, such as suburban areas near an urban centers. An analogous situation to present MANET usage is during emergencies, like disaster scenarios, where users equipped with mobile terminals adhere to specific movement protocols [24,25]. In such constrained and time-sensitive data acquisition situations, low latency communication emerges as a crucial factor, making method proposed in this study highly effective.…”
Section: Future Workmentioning
confidence: 99%