An Efficient Clustering Strategy Avoiding Buffer Overflow in IoT Sensors: A Bio-Inspired Based Approach

The Internet of Things (IoT) invention has taken the growth of sensors technology to a completely high step. New challenges in terms of data delivery have emerged due to strict QoS conditions. Among the solutions proposed in the literature is the subdivision of the large-scale network into several c...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access Jg. 7; S. 156733 - 156751
Hauptverfasser:	Hamidouche, Ranida, Aliouat, Zibouda, Abba Ari, Ado Adamou, Gueroui, Mourad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Bio-inspired optimization Buffers CH selection Clustering Clustering algorithms Data exchange Data loss Evolutionary algorithms heterogeneous WSN Intelligent sensors Internet of Things IoT model checking Optimization Overflow Protocols Sensors Topology Wireless sensor networks
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!