Enabling run-time composition and support for heterogeneous pervasive multi-agent systems

Abstract-Ambient intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a distributed telemonitoring system, aimed at improving healthcare and assistance to dependent people at their homes. The system implements a service-oriented architecture based platform, which allows heterogeneous wireless sensor networks to communicate in a distributed way independent of time and location restrictions. This approach provides the system with a higher ability to recover from errors and a better flexibility to change their behavior at execution time. Preliminary results are presented in this paper.

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“…The system was adopted on Mar. 1,2009. Firstly, our approach provides the system with a higher ability to recover from errors.…”

Section: Results and Conclusionmentioning

confidence: 99%

“…In addition, the continuous advancement in mobile computing makes it possible to obtain information about the context and also to react physically to it, in more innovative ways [1]. However, there are situations, where technology is difficult to be handled or people have lack of knowledge to use it.…”

Section: Introductionmentioning

confidence: 99%

Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare

Corchado

Bajo

Tapia

et al. 2010

IEEE Trans. Inform. Technol. Biomed.

189

104

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“…The agents' characteristics make them appropriate for developing dynamic and distributed systems, as they possess the capability of adapting themselves to the users and environmental characteristics [3]. In addition, the continuous advances in mobile computing make it possible to obtain information about the environment and also to react physically over it in more innovative ways.…”

Section: Combining a Multi-agent Architecture And Case-based Reasoninmentioning

confidence: 99%

MACSDE: Multi-Agent Contingency Response System for Dynamic Environments

Mata

Pérez

González

et al. 2009

Lecture Notes in Computer Science

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Abstract. Dynamic environments represent a quite complex domain, where the information available changes continuously. In this paper, a contingency response system for dynamic environments called MACSDE is presented. The explained system allows the introduction of information, the monitoring of the process and the generation of predictions. The system makes use of a CaseBased Reasoning system which generates predictions using previously gathered information. It employs a distributed multi-agent architecture so that the main components of the system can be accessed remotely. Therefore, all functionalities can communicate in a distributed way, even from mobile devices. The core of the system is a group of deliberative agents acting as controllers and administrators for all functionalities. The system explained includes a novel network for data classification and retrieval. Such network works as a summarization algorithm for the results of an ensemble of SelfOrganizing Maps. The presented system has been tested with data related with oil spills and forest fire, obtaining quite hopeful results.

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“…Ambient Intelligence (AmI) tries to adapt the technology to the people's needs by means of omnipresent computing elements which communicate amongst them in a ubiquitous way (Lyytinen, et al 2002). In addition, the continuous advancement in mobile computing makes it possible to obtain information about the context and also to react physically to it in more innovative ways (Jayaputera, et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Agents and ambient intelligence: case studies

Tapia

Abraham

Corchado

et al. 2009

J Ambient Intell Human Comput

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Abstract. The significance that Ambient Intelligence (AmI) has acquired in recent years requires the development of innovative solutions. In this sense, the development of AmI-based systems requires the creation of increasingly complex and flexible applications. One of the most important aspects in Ambient Intelligence is the use of context-aware technologies in order to perceive stimuli from both the users and the environment. Thus, the information obtained must be managed by intelligent and self-adaptable technologies in order to provide an adequate interaction between the users and their environment. Agents and Multi-Agent Systems are one of these technologies.The agents have characteristics such as autonomy, reasoning, reactivity, social abilities and proactivity which make them appropriate for developing dynamic and distributed systems based on Ambient Intelligence, as they possess the capability of adapting themselves to the users and environmental characteristics. This paper presents several case studies where agents and contextaware technologies have been implemented to build AmI-based systems. These case studies expand the possibilities of Ambient Intelligence and get closer to its vision.

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Enabling run-time composition and support for heterogeneous pervasive multi-agent systems

Cited by 30 publications

References 10 publications

Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare

Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare

MACSDE: Multi-Agent Contingency Response System for Dynamic Environments

Agents and ambient intelligence: case studies

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