A Realistic Dataset for the Smart Home Device Scheduling Problem for DCOPs
February 22, 2017 Β· Declared Dead Β· π 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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