Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks

Distributed Consensus Gossip-Based Data Fusion for Suppressing Incorrect Sensor Readings in Wireless Sensor Networks

Incorrect sensor readings can cause serious problems in Wireless Sensor Networks (WSNs), potentially disrupting the operation of the entire system. As shown in the literature, they can arise from various reasons; therefore, addressing this issue has been a significant challenge for the scientific co...

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Bibliographic Details
Main Authors: Martin Kenyeres, Jozef Kenyeres, Sepideh Hassankhani Dolatabadi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Low Power Electronics and Applications
Subjects:
consensus
data aggregation
distributed computing
Gaussian noise
gossip algorithms
incorrect data
Online Access:https://www.mdpi.com/2079-9268/15/1/6
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