Paper Info
Title
Multi-Agent Systems For Estimating Missing Information In Smart Cities
Abstract
Smart cities aim at improving the quality of life of citizens. To do this, numerous ad-hoc sensors need to be deployed in a smart city to monitor the environmental state. Even if nowadays sensors are becoming more and more cheap their installation and maintenance costs increase rapidly with their number. This paper makes an inventory of the dimensions required for designing an intelligent system to support smart city initiatives. Then we propose a multi-agent based solution that uses a limited number of sensors to estimate at runtime missing information in smart cities using a limited number of sensors.
Year
DOI
Venue
2019
10.5220/0007381902140223
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE (ICAART), VOL 2
Keywords
Field
DocType
Smart City, Cooperative Multi-agent Systems, Missing Information Estimation
Data science,Computer science,Multi-agent system,Artificial intelligence,Smart city,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Davide Guastella100.34
Valérie Camps29017.42
Marie-Pierre Gleizes372882.57