Bee Swarm Intelligence Inspired Sustainable Swarm Air Purification Agent System with K-means Clustering

Most of the world’s population is living in hazardous air quality. In this paper, we have proposed an air purification peer-to-peer networked multi-agent-based intelligent system in open areas for a society complex in urban cities. In this paper, an artificial bee swarm optimization algorithm is use...

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Veröffentlicht in:	SN computer science Jg. 6; H. 5; S. 502
Hauptverfasser:	Sahai, Priya, Kumar, Rakesh, Mehrotra, Monica
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.06.2025 Springer Nature B.V
Schlagworte:	Advances in Computational Approaches for Image Processing Air pollution Air purification Air quality Cities Cloud Applications and Network Security Cluster analysis Clustering Collaboration Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Decision making Food supply Foraging behavior Heart Information Systems and Communication Service Multiagent systems Nitrogen dioxide Optimization Optimization algorithms Original Research Outdoor air quality Pattern Recognition and Graphics Pollutants Search algorithms Smart cities Software Engineering/Programming and Operating Systems Supply chains Swarm intelligence Urban areas Vector quantization Vision Wireless Networks Germany India Fitness value Swarm intelligence Bee swarm optimization algorithm Clustering AQI index
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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