MATe: Multiagent Architecture for Taming e-Devices

In recent years, an explosive growth has been observed in the use of wireless devices, mainly due to the decrease in cost, size, and energy consumption. Researches in the Internet of Things have focused on how to continuously monitor these devices in different scenarios, such as vehicle, weather, and biodiversity tracking, considering both scalability and efficiency while searching and updating their information. For this, current alternatives use a combination of a widely recognized method, called data aggregation, and a widely adopted distributed structure, called Distributed Hash Table, which minimize the number of transmissions and save energy. However, scalability is still a key challenge when the group comprises a large number of devices. In this paper, we propose a scalable architecture that distributes the data aggregation responsibility to the devices of group frontier, and creates agents to manage groups and the interaction among them. Experimental results showed the viability of adopting this architecture if compared to the most widely used approaches.