Intelligent City Lighting Supported by Graph-based Multiagent System

Abstract

The growing costs of energy and environmental care stimulate the development of technologies reducing the energy usage. In the paper we discuss the case of  an intelligent city lighting system which acts towards fitting the actual environment needs related to lighting. It is accomplished by performing some actions when an environment state changes but also by predicting the state changes on the basis of data provided by sensors. The problem complexity requires using formal model of a system enabling a problem decomposition and processing parallelization.