Distributed Constraint Optimization for the Internet-of-Things (DCOP for IoT)

Abstract : The ever-growing nature of the Internet-of-Things (IoT) and related application domains (Smart home, Smart buildings, etc.) with numerous objects and configurations require more and more autonomy and coordination. Multi-agent systems are a suitable paradigm to model and develop applications and infrastructure to implement such IoT environments. Within the multi-agent techniques, distributed constraint reasoning is a relevant approach to model complex problems and decentralize decisions in a coordinated way. The Tutorial on Distributed Constraint Optimization for the Internet-of-Things proposes to review some DCOP solution methods relevant for the IoT context, to model a real smart home case study, and finally to program and deploy DCOP solutions methods on a real IoT environment composed of Raspberry Pis.
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https://hal.archives-ouvertes.fr/hal-01861632
Contributor : Florent Breuil <>
Submitted on : Friday, August 24, 2018 - 4:22:15 PM
Last modification on : Monday, May 6, 2019 - 3:34:26 PM

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  • HAL Id : hal-01861632, version 1

Citation

Pierre Rust, Gauthier Picard. Distributed Constraint Optimization for the Internet-of-Things (DCOP for IoT). Seventeenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS'18), Jul 2018, Stockholm, Sweden. 16p. ⟨hal-01861632⟩

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