A multi‐objective distance vector‐hop localization algorithm based on differential evolution quantum particle swarm optimization

Summary Wireless sensor networks (WSNs) have actively been considered in vast amount of applications in fields of science and engineering. The node location technology is one of the most critical technologies of WSNs. Aiming at the problem of distance vector‐hop (DV‐HOP) algorithm's excessive e...

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Veröffentlicht in:	International journal of communication systems Jg. 34; H. 14
Hauptverfasser:	Han, Dezhi, Wang, Jing, Tang, Canren, Weng, Tien‐Hsiung, Li, Kuan‐Ching, Dobre, Ciprian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Chichester Wiley Subscription Services, Inc 25.09.2021
Schlagworte:	Algorithms Convergence DV‐HOP Energy consumption energy consumption monitoring Evolutionary algorithms Evolutionary computation Localization Nodes Particle swarm optimization quantum particle swarm optimization the Internet of Things Wireless sensor networks
ISSN:	1074-5351, 1099-1131
Online-Zugang:	Volltext
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