A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs

February 22, 2017 Β· Declared Dead Β· πŸ› AAMAS Workshops

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Authors William Kluegel, Muhammad Aamir Iqbal, Ferdinando Fioretto, William Yeoh, Enrico Pontelli arXiv ID 1702.06970 Category cs.AI: Artificial Intelligence Cross-listed cs.DC Citations 10 Venue AAMAS Workshops Last Checked 4 months ago
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.
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