Title: A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs,
Abstract: The field of Distributed Constraint Optimization has gained momentum in
recent years thanks to its ability to address various applications related to
multi-agent cooperation. While techniques to solve Distributed Constraint
Optimization Problems (DCOPs) are abundant and have matured substantially since
the field inception, the number of DCOP realistic applications and benchmark
used to asses the performance of DCOP algorithms is lagging behind. To contrast
this background we (i) introduce the Smart Home Device Scheduling (SHDS)
problem, which describe the problem of coordinating smart devices schedules
across multiple homes as a multi-agent system, (ii) detail the physical models
adopted to simulate smart sensors, smart actuators, and homes environments, and
(iii) introduce a DCOP realistic benchmark for SHDS problems.