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We present the results for a new building supply and communication architecture based on Power Over Ethernet (PoE) with the IEEE 802.3bt standard. Driven by technological advances like photovoltaic production, LED lighting terminals, computer terminals, tablets, screens and the advancement of power electronics that allow more and more conversions with very high efficiency, direct current in buildings might be the right solution to reduce energy consumption and go towards positive energy buildings. With the new IEEE 802.3bt PoE standard which allows 99 W and with the increasing demand for new services in smart buildings and the emerging of IoT devices, we propose a communication and supply architecture completely based on the IP protocol. This paper presents feedback of the first deployment of a smart building totally powered by PoE devices, we analyse the power supply architecture and the application communication protocol that we have used which is MQTT (Message Queuing Telemetry Transport).

In this paper, Reactive Multi-Agent Systems handle complex assignment problems as decentralized negotiating problems. Each agent locally acts in order to make the system reach a satisfying configuration. We address here, the designing problem: how to accurately communicate the problem to agents, and increase their ability to coordinate? We identify two main aspects to consider: 1) how to express acquaintances between the agents in order to provide a support for a reactive resolution, 2) how to express the objects of the sharing, in (most often) a continuous environment. In this context, the paper explains and justifies the advantages to use a structured environment for each of the studied aspects, as a means to account for application problems and covered configurations. The introduction for such a support leads to a new issue: how to make this support evolve in order to fit combinatorial properties? We introduce a new approach MANA (Multi-level bAlancing Negotiating Agents) that uses a self-organizing way to manage the resulting original configuration. We illustrate this approach on a scheduling problem, and present some preliminary results showing its performances.

This paper introduces HEMIS, a home energy management intelligent system based on a hybrid cognitivereactive multi-agent system. Thanks to smart metering, HEMIS provides real time and easy access to multiple physical properties including energy consumption, temperature, air qualityThis collected data is used by the system in order to activate predefined scenarios enabling home automation and energy saving. The system acts on the environment via actuators such as heater controllers, roller shutters on windows or doors, alarms The HEMIS consists of two layers: cognitive multiagent systems where concepts which are easily understood and used by the users, are represented by cognitive agents and a reactive layer closer to the physical world. Our system is accessible anywhere thanks to the HTML5 web application.

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