Coverage optimization for IoT-based network using Monarch Butterfly Optimization with greedy strategy and self-adaptive crossover operator

In the dynamic development of technology, the Internet of Things (IoT) stands as a driving force of innovation and opening new frontiers. Data collection and processing in IoT systems provide services to decision making in various fields including home automation, disaster management, healthcare, an...

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Veröffentlicht in:	International journal of parallel, emergent and distributed systems Jg. 39; H. 6; S. 696 - 711
Hauptverfasser:	Pavithra, R., Arivudainambi, D., Afizudeen, S., Poorani, T.S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 01.11.2024 Taylor & Francis Ltd
Schlagworte:	Adaptive algorithms Crossovers Greedy algorithms Heuristic methods Internet of Things Meta-heuristic algorithm Optimal sensor placement Optimization Quality of coverage Statistical analysis Variance analysis Wireless sensor network
ISSN:	1744-5760, 1744-5779
Online-Zugang:	Volltext
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