Models for Parallel Processing of Signals Received from IOT Sensors in Foggy Networks
Kholiqulov SherzodAssociate Professor of the Department of Communication and Information Technologies, UMFT University, UzbekistanKhalilov Sirojiddin PanjiyevichAssociate Professor, Department of Artificial Intelligence, TUIT, UzbekistanSoatov Ismailjon KhabibullayevichMaster's Student at UMFT University, Uzbekistan
ABI
Abstract
This paper analyzes models for parallel processing of signals from Internet of Things (IoT) sensors in a fog computing environment. The limited resources of sensor nodes are a major challenge in ensuring processing efficiency for real-time applications. The paper reviews three main parallel processing models: multi-core chip systems, hierarchical signal processing, and distributed adaptive filtering, along with their architecture, advantages, and application areas. It also discusses the possibilities of reducing latency in fog networks through the deployment of service function trees and horizontal task distribution mechanisms.
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