A Novel IoT Architecture with Pattern Recognition Mechanism and Big Data

Abstract

One of the most important IoT challenges is scalability. This paper addresses this issue by introducing pattern recognition services into the lower layers of the IoT reference model stack and reduces the processing at the higher layers. The work adopts the reference model developed by the IoT-A project and the LinkSmart Middleware platform. The new architecture implementation extends the LinkSmart introducing a pattern recognition manager that includes algorithms to estimate parameters, detect outliers, and to perform clustering of raw data from IoT resources. The new module is integrated with the Big Data Haddop platform and uses Mahout algorithms implementation.