A Multi-agent Architecture to Support Ubiquitous Applications in Smart Environments

Maciél, Cristiano; Souza, Patricia Cristiane de; Viterbo, José; Mendes, Fabiana Freitas; Seghrouchni, Amal El Fallah

doi:10.1007/978-3-662-46241-6_9

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…The issues discussed in this article are part of a research project in an international partnership between France and Brazil 1 in which an architecture that supports the development of ubiquitous applications called Devices, Environments and Social Networks Integration Architecture (DESIA) [18] was proposed. The concepts of the proposed DESIA architecture are detailed in terms of services, requirements and architecture.…”

Section: Methodsmentioning

confidence: 99%

Legal Issues and User Experience in Ubiquitous Systems from a Privacy Perspective

Souza

Maciél

2015

Lecture Notes in Computer Science

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Abstract. Guaranteeing privacy in digital systems is an effort that moves several computing areas such as computer security, cryptography, computer networks, safe protocols, system design and human-computer interaction. One of the hypotheses in our work is that many users of mobile applications are not aware of the risks they run of their data being accessed by intruders, mainly because they do not know what they are exposed to and then, because the terms used in access policies are difficult to understand, too long for a dynamic reading and offer little or no flexibility to allow users to make adjustments according to their preferences. Improving users' experience means verifying if the implementation of new ways of interaction that provide freedom and flexibility in the control of privacy settings as well as access policies for mobile applications has allowed for higher levels of security and reliability on the users' side.

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Section: Methodsmentioning

confidence: 99%

Legal Issues and User Experience in Ubiquitous Systems from a Privacy Perspective

Souza

Maciél

2015

Lecture Notes in Computer Science

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“…As well, some works have proposed architectures to build applications for smart cities [9,10]. For example, [11,12] present methodologies to define a smart city, which allows measuring its level of development.…”

Section: Related Workmentioning

confidence: 99%

“…The architecture can be used as a Platform as Service (PaaS), or as a Software as Service (SaaS). In [9], Maciel et al propose a middleware, called "Devices, Environments and Social networks Integration Architecture" (DESIA), which includes technologies such as social networks, cloud computing, and digital ecosystems. DESIA is divided into three layers: the individuality layer, the environment layer, and the cloud layer.…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities

et al. 2020

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One of the biggest challenges in a Smart City is how to describe and dispose of the enormous and multiple sources of information, and how to share and merge it into a single infrastructure, in a timely and correct manner. A Smart City requires computational platforms, which allow the interconnection of multiple and embedded systems, such that the technology is integrated with people, and can respond to unpredictable situations. The integration of information and communications technology in these spaces, allows exploiting the wealth of information and knowledge generated in a Smart City, and improving its planning and services offered to its citizens. In this way, the people are immersed in these spaces, which are aware of their presence (contextsensitive) and adapt to their needs. The context analysis in a smart city allows making available services and information, to support ubiquitously the activities of the individuals. This study aims to analyze the emerging and ubiquitous capabilities of an Autonomic Reflective Middleware. The Middleware is based on intelligent agents that can be adapted to the existing dynamism in a city for, ubiquitously, responding to the requirements of citizens. It uses emerging ontologies that allow, not only the adaptation to the context of the moment and in real-time but also responds to unforeseen situations.

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“…A Multi-Agent System (MAS) is composed of intelligent agents capable of communicating and collaborating -or even competing -for using resources in an environment to achieve conflicting or common goals [6]. The use of the MAS approach applied in AmI is justified by the autonomous characteristics of agents and their application in complex systems, both found in AmI [7]. However, some traditional smart objects are mainly data gathers and senders, and the data is stored and processed in servers, compromising the autonomy of these objects and because of the high dependency on centralized technologies to provide communication and reasoning in such kind of system [8].…”

Section: Introductionmentioning

confidence: 99%

An Architecture for the Development of Ambient Intelligence Systems Managed by Embedded Agents

Pantoja¹,

Soares²,

Viterbo³

et al. 2018

International Conferences on Software Engineering and Knowledge Engineering

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Ubiquitous systems consider the use of electronic components for enhancing daily objects with some kind of computational intelligence for aiding users in their tasks pervasively. Ambient Intelligence (AmI) is a branch of ubiquitous computing that provides an environment full of interconnected devices and it can provide data communication, inference mechanism based on context information and collaboration among system's devices. Similarly, the Internet of Things (IoT) provides uniquely identified devices or things in a network for helping users in their activities. Multi-Agent Systems (MAS) are intelligent systems where agents are responsible for reasoning, competing and using resources to achieve desirable goals pro-actively and autonomously. Agents have been employed in some approaches and works during the last years, but none of them considered embedded MAS responsible for smart devices in an AmI system running over an IoT network. Besides, it is also interesting that agents of the embedded MAS can interact, sharing information with agents situated in another embedded MAS using the IoT network to learn from user's experiences. This paper proposes an architecture for the development of AmI systems using embedded MAS for interfacing with sensors and actuators in a heterogenous network using an IoT middleware.

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A Multi-agent Architecture to Support Ubiquitous Applications in Smart Environments

Cited by 8 publications

References 9 publications

Legal Issues and User Experience in Ubiquitous Systems from a Privacy Perspective

Legal Issues and User Experience in Ubiquitous Systems from a Privacy Perspective

Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities

An Architecture for the Development of Ambient Intelligence Systems Managed by Embedded Agents

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