Towards a CVL process to develop agents for the IoT

Abstract

One of the most important challenges of this decade is the Internet of Things (IoT) or the integration of devices from the real world in the Internet. IoT systems are usually composed of heterogenous 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 to develop 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 advanced software techniques like Variability Modeling. Specifically, we propose to use Self-StarMAS agents and CVL. In this contribution, we propose a CVL process for the development of Self-StarMAS agents.