REDUCING POWER CONSUMPTION IN SMART CAMPUS NETWORK APPLICATIONS THROUGH SIMULATION OF HIGH-PRIORITY SERVICE, TRAFFIC BALANCING, PREDICTION AND FUZZY LOGIC

In this work, we tackle power consumption reduction of battery-dependent devices in a smart campus (including hospital) application. These devices are connected by networked systems which may be subject to fluctuation of the message delays that control essential equipment. We show through five case...

Full description

Saved in:
Bibliographic Details
Published in2018 Winter Simulation Conference (WSC) pp. 1156 - 1167
Main Authors Leite, J.R. Emiliano, Massaro, F. R., Martins, Paulo S., Ursini, Edson L.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Batteries
Delays
Fuzzy control
Fuzzy logic
Internet
Power demand
Switches
Online AccessGet full text

Cover

More Information
Summary:In this work, we tackle power consumption reduction of battery-dependent devices in a smart campus (including hospital) application. These devices are connected by networked systems which may be subject to fluctuation of the message delays that control essential equipment. We show through five case studies using discrete event simulation that power consumption may be reduced using proper prioritization and balancing of the network emergency traffic. A predictor algorithm and a fuzzy logic controller were used to indicate the level upon which the system must switch off the load in order to reduce power consumption. The analysis of a case study shows that a considerable reduction in power consumption was achieved through the reduction of message delays and also due to the fuzzy control of AC and lighting equipment.
ISSN:1558-4305
DOI:10.1109/WSC.2018.8632440