Event-Triggered Sliding Mode Controller for Cognitive Internet of Things

Cognitive Radio (CR)-based solutions have been suitable for efficient spectrum sharing among the unlicensed and licensed Internet of Things (IoT). Consequently, keeping a careful balance among several priority class users ensures that network congestion is avoided. In order to regulate data transmis...

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Bibliographic Details
Published in:IEEE eTransactions on network and service management 2024-11, p.1-1
Main Authors: Biswas, Abhijit, Deb, Subhrajyoti, Kar, Nirmalya, Sarkar, Joy Lal, Mondal, Ayan
Format: Article
Language:English
Subjects:
cognitive networks
Cognitive radio
congestion maintenance
Event detection
event triggered sliding mode controller
Internet of Things
IoT
IoT protocol stack
network congestion
Performance evaluation
Physical layer
Protocols
Resource management
Robustness
Sliding mode control
Throughput
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Summary:Cognitive Radio (CR)-based solutions have been suitable for efficient spectrum sharing among the unlicensed and licensed Internet of Things (IoT). Consequently, keeping a careful balance among several priority class users ensures that network congestion is avoided. In order to regulate data transmission and interconnectivity among various IoT devices, this paper proposes an event-triggered sliding mode controller for congestion maintenance, abbreviated as ETSMCC. The suggested controller improves the disturbance rejection capabilities and robustness in an IoT protocol stack for cognitive networks. Using this method, unscrupulous spectrum sharing and efficient congestion control is achieved. Our approach reduces energy expenditures and computational difficulties in the IoT protocol stack. ETSMCC with IoT protocol stack achieves an average distortion rate of 0.009%, throughput of 256 Kbps, 23% packet loss, delay with 0.32 ms and packet delivery ratio of 7.21%. ETSMCC performs better than state-of-the-art schemes, such as context-aware congestion control (CACC) and dynamic, driven congestion control (DDCC).
ISSN:1932-4537
1932-4537
DOI:10.1109/TNSM.2024.3502212