Distributed probability density based multi-objective routing for Opp-IoT networks enabled by machine learning

 Opportunistic IoT networks operate in an intermittent, mobile communication topology, employing peer-to-peer transmission hops on a store-carry-forward basis. Such a network suffers from intermittent connectivity, lack of end-to-end route definition, resource constraints and uncertainties arising f...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2022-01, Vol.42 (2), p.1199-1211
Hauptverfasser:	Ajith Kumar, S.P., Banyal, Siddhant, Bhardwaj, Kartik Krishna, Thakur, Hardeo Kumar, Sharma, Deepak Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Decisions Machine learning Multiple objective analysis Network topologies Nodes Performance measurement Representations Social networks
Online-Zugang:	Volltext
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