文章基本信息

标题：A Multi-Agent Trust and Reputation Mechanisms for the Management of Smart Urban Lighting Systems
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作者：Alessandro Casavola ; Giuseppe Franzè ; Gianfranco Gagliardi 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：6
页码：545-550
DOI：10.1016/j.ifacol.2022.07.185
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, an adaptive urban smart lighting architecture allowing municipalities to manage and control public street lighting lamps is developed. In order to reduce energy consumption, the system is designed to autonomously adapt street lamps' brightness on the basis of the presence of vehicles in specific segments of the streets/roads of interest. To this end, a hybrid traffic model is here proposed to estimate in each segment of the road the number of vehicles crossing the segment. The estimation task is carried out by means of a bank of switching observers and corresponding sensors. One observer at a time is selected from the bank and put in order. Such a selection is based on a recently developed multi-agent reputation mechanism for a class of networked systems. As one of its merits, this methodology is capable to reveal those sensors that have the highest information contents (Quality of Service) on the basis of their reputation (trust) shared among agents.
关键词：KeywordsSensor SelectionFault detectionSensor NetworksTrust conceptSmart Lighting