Abstract
Sensing systems in combination with treatment tools and intelligent information management are the basis on which the cities and urban environments of the future will be built. Progress in the research and development of these new and intelligent scenarios is essential to achieve the objectives of efficiency, integration, sustainability, and quality of life for people who live in cities. To achieve these objectives, it is essential to investigate the development of cheaper, more accurate, and smarter hardware devices, which will form the basis of the intelligent environments of the future. This article focuses on an approach based on intelligent multi-agent systems that are integrated into basic hardware devices for the Internet of Things (IoT). A multi-agent architecture is proposed for the fast, efficient, and intelligent management of the generated data. A layer of services adapted to the needs of the new intelligent environments is built on this architecture. With the aim of validating this architecture, a case study based on electric vehicles of the e-bike type is proposed.
Highlights
At present, citizens live in a global world where people and objects are increasingly interconnected, regardless of their geographical location
This paper proposes an integral Internet of Things (IoT) framework based on multi-agent systems for the intelligent management of computationally limited hardware devices that are the basis of the deployed sensor systems
An intelligent system based on agents embedded in wireless devices with reduced capacities for Internet of Things (IoT) environments has capacities for Internet of Things (IoT) environments has been presented
Summary
Citizens live in a global world where people and objects are increasingly interconnected, regardless of their geographical location. One of the main problems that IoT environments face is the amount of data that their devices collect and with which, in many cases, nothing is done These data are usually sent to central servers in the cloud, where they are analyzed to obtain derived information or activate certain events. For this reason, concepts such as Edge Computing [4] or Fog Computing [5,6] have emerged, which seek to change this passive behavior of the IoT nodes and turn devices into an active part of the system.
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