TY - GEN
T1 - A multiagent system approach to scheduling devices in smart homes
AU - Fioretto, Ferdinando
AU - Yeoh, William
AU - Pontelli, Enrico
N1 - Publisher Copyright:
© Copyright 2017, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Demand-side management (DSM) in the smart grid allows customers to make autonomous decisions on their energy consumption, helping energy providers to reduce the energy peaks in load demand. The automated scheduling of smart devices in residential and commercial buildings plays a key role in DSM. Due to data privacy and user autonomy, such an approach is best implemented through distributed multi-Agent systems. This paper makes the following contributions: (i) It introduces the Smart Home Device Scheduling (SHDS) problem, which formalizes the device scheduling and coordination problem across multiple smart homes as a multi-Agent system; (ii) It describes a mapping of this problem to a distributed constraint optimization problem; (iii) It proposes a distributed algorithm for the SHDS problem; and (iv) It presents empirical results from a physically distributed system of Raspberry Pis, each capable of controlling smart devices through hardware interfaces, as well as larger scale synthetic experiments.
AB - Demand-side management (DSM) in the smart grid allows customers to make autonomous decisions on their energy consumption, helping energy providers to reduce the energy peaks in load demand. The automated scheduling of smart devices in residential and commercial buildings plays a key role in DSM. Due to data privacy and user autonomy, such an approach is best implemented through distributed multi-Agent systems. This paper makes the following contributions: (i) It introduces the Smart Home Device Scheduling (SHDS) problem, which formalizes the device scheduling and coordination problem across multiple smart homes as a multi-Agent system; (ii) It describes a mapping of this problem to a distributed constraint optimization problem; (iii) It proposes a distributed algorithm for the SHDS problem; and (iv) It presents empirical results from a physically distributed system of Raspberry Pis, each capable of controlling smart devices through hardware interfaces, as well as larger scale synthetic experiments.
KW - DCOP
KW - Demand-side management
KW - Smart homes
UR - http://www.scopus.com/inward/record.url?scp=85028725314&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028725314&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85028725314
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 981
EP - 989
BT - 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
A2 - Das, Sanmay
A2 - Durfee, Edmund
A2 - Larson, Kate
A2 - Winikoff, Michael
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
Y2 - 8 May 2017 through 12 May 2017
ER -