EXEHDA-HS: uma abordagem baseada em redes Peer-to-Peer para descoberta de recursos na IoT

Abstract

The Internet of Things (IoT) is characterized by a large number of heterogeneous resources connected to the Internet. However, this high heterogeneity and increasing scalability are presented as challenges to be faced, especially in the management of these resources. There is a tendency to remove these functionalities from the applications, passing them to middlewares, and these are responsible for providing a standardized way to access the data and services provided by the objects through a high-level interface, besides facilitating the construction of applications for IoT. The work developed in this dissertation, called EXEHDA-HS,is related to design of mechanisms to be integrated to the middleware EXEHDA for the discovery and search for resources distributed in the cellular environment of middleware. Contributing with the support for the treatment of the high scalability of the typical computational environments of the IoT concerning the procedures of search, inclusion and removal of devices, as well as minimizing the efforts of configuration by the user when the need to perform these procedures. In the evaluation of the EXEHDA-HS were used two scenarios of use in the field of agriculture, basedontheplenusprojectunderdevelopmentintheEmbrapaTemperate Climate. The results achieved with the use scenarios were promising, stimulating the continuity of research in the area.