DCOP FOR SMART HOMES: A CASE STUDY
Federico Pecora, Amedeo Cesta · Computational Intelligence · 2007
The aim of this article is to bring forth the issue of integrating the services provided by intelligent artifacts in Ambient Intelligence applications. Specifically, we propose a Distributed Constraint Optimization procedure for achieving a functional integration of intelligent artifacts in a smart home. To this end, we employAdopt‐N, a state‐of‐the‐art algorithm for solving Distributed Constraint Optimization Problems (DCOP). This article attempts to state the smart home coordination problem in general terms, and provides the details of a DCOP‐based approach by describing a case study taken from theRoboCareproject. More specifically, we show how (1) DCOP is a convenient metaphor for casting smart home coordination problems, and (2) the specific features which distinguishAdopt‐Nfrom other algorithms for DCOP represent a strong asset in the smart home domain.