A Framework for Distributed Interaction in Intelligent Environments

Mauro, Dario Di; Augusto, Juan Carlos; Origlia, Antonio; Cutugno, Francesco

doi:10.1007/978-3-319-56997-0_11

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…However, the increasingly distributed and intelligent energy systems along with their multi-disciplinary nature yield such a big data volume that the management and control of microgrids is becoming a critical challenge. The latest research indicates that distributed MAS architectures have some limitations on the efficient and optimal management of these emerging microgrids [92], [93], [94], [95], [96] , which are described below: 1) MAS agents cannot simultaneously communicate with other agents, being only allowed one-on-one interactions among individual agents, i.e., the agents can only act as a client or as a server, which results in a lack of agent proactivity. In this way, if the agent detects a fault in its operation, it cannot communicate its fault to the network until another agent communicates with it.…”

Section: Reference Standardsmentioning

confidence: 99%

Current challenges and future trends in the field of communication architectures for microgrids

Marzal

Salas

González-Medina

et al. 2018

Renewable and Sustainable Energy Reviews

108

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The concept of microgrid has emerged as a feasible answer to cope with the increasing number of distributed renewable energy sources which are being introduced into the electrical grid. The microgrid communication network should guarantee a complete and bidirectional connectivity among the microgrid resources, a high reliability and a feasible interoperability. This is in a contrast to the current electrical grid structure which is characterized by the lack of connectivity, being a centralized-unidirectional system. In this paper a review of the microgrids information and communication technologies (ICT) is shown. In addition, a guideline for the transition from the current communication systems to the future generation of microgrid communications is provided. This paper contains a systematic review of the most suitable communication network topologies, technologies and protocols for smart microgrids. It is concluded that a new generation of peer-to-peer communication systems is required towards a dynamic smart microgrid. Potential future research about communications of the next microgrid generation is also identified.

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Section: Reference Standardsmentioning

confidence: 99%

Current challenges and future trends in the field of communication architectures for microgrids

Marzal

Salas

González-Medina

et al. 2018

Renewable and Sustainable Energy Reviews

108

View full text Add to dashboard Cite

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“…To support the development of multi-device systems, different works have also been presented such as: HIPerFace [32] addressing multiple device integration; the web-oriented PolyChome [33] and Tandem Browsing Toolkit [34]; Conductor [35] and VisPorter [36], dealing with multi-display scenarios; adaptation of the user interface and interaction modalities depending on context [37]; Improv [38] and [39], supporting cross-device interaction design; PHASER [40], with a particular emphasis on a distributed architecture to support multi-device interaction; and the work described in [41], addressing end-user development of cross-device user interfaces. In this regard, our team has proposed extensions to the W3C MMI architecture to transparently enable multi-device support for applications by managing it at architectural level [19,42].…”

Section: Background and Related Workmentioning

confidence: 99%

The AM4I Architecture and Framework for Multimodal Interaction and Its Application to Smart Environments

Almeida

Teixeira

Silva

et al. 2019

Sensors

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Technologies, such as smart sensors, actuators, and other kinds of devices, are often installed in our environments (e.g., our Homes) and available to integrate our daily lives. Despite their installation being motivated by the pursuit of automation and increased efficiency, making these environments usable, acceptable and enjoyable in a sustainable, energy efficient way is not only a matter of automation. Tackling these goals is a complex task demanding the combination of different perspectives including building and urban Architecture, Ubiquitous Computing and Human-Computer Interaction (HCI) to provide occupants with the means to shape these environments to their needs. Interaction is of paramount relevance in the creation of adequate relations of users with their environments, but it cannot be seen independently from the ubiquitous sensing and computing or the environment’s architecture. In this regard, there are several challenges to HCI, particularly in how to integrate this multidisciplinary effort. Although there are several solutions to address some of these challenges, the complexity and dynamic nature of the smart environments and the diversity of technologies involved still present many challenges, particularly for its development. In general, the development is complex, and it is hard to create a dynamic environment providing versatile and adaptive forms of interaction. To participate in the multidisciplinary effort, the development of interaction must be supported by tools capable of facilitating co-design by multidisciplinary teams. In this article, we address the development of interaction for complex smart environments and propose the AM4I architecture and framework, a novel modular approach to design and develop adaptive multiplatform multilingual multi-device multimodal interactive systems. The potential of the framework is demonstrated by proof-of-concept applications in two different smart environment contexts, non-residential buildings and smart homes.

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“…Thus, the management and control of microgrids is becoming a critical challenge. The latest research indicates that current distributed MAS have some limitations for the efficient and optimal management of microgrids [49,[79][80][81][82]. On the one hand, to get the overall information about the microgrid dynamic network, the agents should be grouped in clusters, following a certain criterion (for instance, the kind of resource).…”

Section: Network Requirements For Smart Microgridsmentioning

confidence: 99%

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

et al. 2017

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Peer-to-Peer (P2P) overlay communications networks have emerged as a new paradigm for implementing distributed services in microgrids due to their potential benefits: they are robust, scalable, fault-tolerant, and they can route messages even when a large number of nodes are frequently entering or leaving the network. However, current P2P systems have been mainly developed for file sharing or cycle sharing applications where the processes of searching and managing resources are not optimized. Locality algorithms have gained a lot of attention due to their potential to provide an optimized path to groups with similar interests for routing messages in order to achieve better network performance. This paper develops a fully functional decentralized communication architecture with a new P2P locality algorithm and a specific protocol for monitoring and control of microgrids. Experimental results show that the proposed locality algorithm reduces the number of lookup messages and the lookup delay time. Moreover, the proposed communication architecture heavily depends of the lookup used algorithm as well as the placement of the communication layers within the architecture. Experimental results will show that the proposed techniques meet the network requirements of smart microgrids, even with a large number of nodes on stream.

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A Framework for Distributed Interaction in Intelligent Environments

Cited by 4 publications

References 22 publications

Current challenges and future trends in the field of communication architectures for microgrids

Current challenges and future trends in the field of communication architectures for microgrids

The AM4I Architecture and Framework for Multimodal Interaction and Its Application to Smart Environments

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

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