Event-Triggered Quantizers for Network Traffic Reduction | Zendy

Juan Esteban Rodriguez Ramirez | Zendy; Yuki Minami | Zendy; Kenji Sugimoto | Zendy

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Event-Triggered Quantizers for Network Traffic Reduction

Author(s) -

Juan Esteban Rodriguez Ramirez,

Yuki Minami,

Kenji Sugimoto

Publication year - 2017

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2017.p1111

Subject(s) - computer science , quantization (signal processing) , differential evolution , reduction (mathematics) , traffic network , event (particle physics) , network traffic control , optimization problem , mathematical optimization , metaheuristic , real time computing , algorithm , computer network , mathematics , physics , geometry , quantum mechanics , network packet

In the operation of networked control systems, signal quantization is a fundamental problem. Because a network can be shared, another important problem that affects the system performance is the network’s traffic congestion. The event-triggered quantizer is developed to reduce the effects of such problems. Its design problem is formulated, and it is solved using the differential evolution (DE) metaheuristic algorithm. The effectiveness of the event-triggered quantizer is verified through numerical examples.

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