Abstract | ||
---|---|---|
Information fusion in a context-aware system is understood as a process that assembles assessments of the environment based on its goals. Advantages of intelligent approaches such as Multi-Agent Systems (MAS) and the use of Wireless Sensor Networks (WSN) within the information fusion process are emerging, especially in context-aware scenarios. However, it has become critical to propose improved and efficient ways to handle the enormous quantity of data provided by these approaches. Agents are a suitable option because they can represent autonomous entities by modeling their capabilities, expertise and intentions. In this sense, virtual organizations of agents are an interesting option/possibility because they can provide the necessary capacity to handle open and heterogeneous systems such as those normally found in the information fusion process. This paper presents a new framework that defines a method for creating a virtual organization of software and hardware agents. This approach facilitates the inclusion of context-aware capabilities when developing intelligent and adaptable systems, where functionalities can communicate in a distributed and collaborative way. Several tests have been performed to evaluate this framework and preliminary results and conclusions are presented. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1007/978-3-642-24769-9_5 | EPIA '89 |
Keywords | Field | DocType |
intelligent approach,context-aware scenario,context-aware capability,information fusion environment,new framework,information fusion,virtual organization,context-aware system,information fusion process,suitable option,interesting option | Data mining,Computer science,Multi-agent system,Software,Wireless sensor network,Information fusion,Virtual organization | Conference |
Volume | ISSN | Citations |
7026 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 17 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dante I. Tapia | 1 | 535 | 37.92 |
Fernando De la Prieta | 2 | 263 | 41.90 |
Sara Rodríguez-González | 3 | 27 | 4.59 |
Javier Bajo | 4 | 1451 | 118.96 |
Juan M. Corchado | 5 | 2899 | 239.10 |