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A Software Product Line Process to Develop Agents for the IoT.

Ayala I, Amor M, Fuentes L, Troya JM - Sensors (Basel) (2015)

Bottom Line: Our goal is to enhance the development of IoT applications using agents and software product lines (SPL).Specifically, we propose to use Self-StarMASMAS, multi-agent system) agents and to define an SPL process using the Common Variability Language.In this contribution, we propose an SPL process for Self-StarMAS, paying particular attention to agents embedded in sensor motes.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Lenguajes y Ciencias de la Computación, Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain. ayala@lcc.uma.es.

ABSTRACT
One of the most important challenges of this decade is the Internet of Things (IoT), which aims to enable things to be connected anytime, anyplace, with anything and anyone, ideally using any path/network and any service. IoT systems are usually composed of heterogeneous and interconnected lightweight devices that support applications that are subject to change in their external environment and in the functioning of these devices. The management of the variability of these changes, autonomously, is a challenge in the development of these systems. Agents are a good option for developing self-managed IoT systems due to their distributed nature, context-awareness and self-adaptation. Our goal is to enhance the development of IoT applications using agents and software product lines (SPL). Specifically, we propose to use Self-StarMASMAS, multi-agent system) agents and to define an SPL process using the Common Variability Language. In this contribution, we propose an SPL process for Self-StarMAS, paying particular attention to agents embedded in sensor motes.

No MeSH data available.


MoteAgent architecture configuration for the device configuration concern.
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f6-sensors-15-15640: MoteAgent architecture configuration for the device configuration concern.

Mentions: Figure 6 depicts the resolved model for MoteAgent. Architectures for sensor motes usually comprise a few components according to the computational and memory capacities of these devices. This architecture configuration includes the architectural components to deal with the monitoring of the luminosity, noise, temperature and humidity. To do so, it has facets to perform tasks for the monitoring (e.g., Luminosity Facet) and the Cities Board that provide the libraries to perform such tasks. This information is stored in the Context component of the MoteAgent. Additionally, in order to deploy the agent in the Sol agent platform using the Wi-Fi wireless technology, its architecture includes WaspWIFI and SolWIFI.


A Software Product Line Process to Develop Agents for the IoT.

Ayala I, Amor M, Fuentes L, Troya JM - Sensors (Basel) (2015)

MoteAgent architecture configuration for the device configuration concern.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541848&req=5

f6-sensors-15-15640: MoteAgent architecture configuration for the device configuration concern.
Mentions: Figure 6 depicts the resolved model for MoteAgent. Architectures for sensor motes usually comprise a few components according to the computational and memory capacities of these devices. This architecture configuration includes the architectural components to deal with the monitoring of the luminosity, noise, temperature and humidity. To do so, it has facets to perform tasks for the monitoring (e.g., Luminosity Facet) and the Cities Board that provide the libraries to perform such tasks. This information is stored in the Context component of the MoteAgent. Additionally, in order to deploy the agent in the Sol agent platform using the Wi-Fi wireless technology, its architecture includes WaspWIFI and SolWIFI.

Bottom Line: Our goal is to enhance the development of IoT applications using agents and software product lines (SPL).Specifically, we propose to use Self-StarMASMAS, multi-agent system) agents and to define an SPL process using the Common Variability Language.In this contribution, we propose an SPL process for Self-StarMAS, paying particular attention to agents embedded in sensor motes.

View Article: PubMed Central - PubMed

Affiliation: Departamento de Lenguajes y Ciencias de la Computación, Andalucía Tech, Universidad de Málaga, Campus de Teatinos s/n, 29071 Málaga, Spain. ayala@lcc.uma.es.

ABSTRACT
One of the most important challenges of this decade is the Internet of Things (IoT), which aims to enable things to be connected anytime, anyplace, with anything and anyone, ideally using any path/network and any service. IoT systems are usually composed of heterogeneous and interconnected lightweight devices that support applications that are subject to change in their external environment and in the functioning of these devices. The management of the variability of these changes, autonomously, is a challenge in the development of these systems. Agents are a good option for developing self-managed IoT systems due to their distributed nature, context-awareness and self-adaptation. Our goal is to enhance the development of IoT applications using agents and software product lines (SPL). Specifically, we propose to use Self-StarMASMAS, multi-agent system) agents and to define an SPL process using the Common Variability Language. In this contribution, we propose an SPL process for Self-StarMAS, paying particular attention to agents embedded in sensor motes.

No MeSH data available.