An efficient ACO-inspired multi-path routing for source location privacy with dynamic phantom node selection scheme in IoT environments

The rapid growth in the smart era of Internet of Things (IoT) relies on the various applications that lead to the design wide range of routing protocols utilizing Machine learning techniques. Third party interference in the open network to perform malicious activities by using location information o...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 28; no. 23-24; pp. 13149 - 13166
Main Authors:	Arpitha, T., Chouhan, Dharamendra, Shreyas, J.
Format:	Journal Article
Language:	English
Published:	Heidelberg Springer Nature B.V 01.12.2024
Subjects:	Algorithms Ant colony optimization Availability Communication Data transmission Energy consumption Energy dissipation Energy efficiency Energy levels Internet of Things Machine learning Nodes Optimization Privacy Real time Route planning Routing (telecommunications) Sensors Traffic analysis Wireless networks
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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