Augmenting Internet of Things (IoT) Architectures with Semantic Capabilities

Abstract

Existing IoT reference architectures specify system structures, but provide little guidance for the semantic foundations required to create and verify system functionality and quality (e.g. security, performance) attributes. Three types of semantics are investigated: (1) Flow Semantics, (2) Quality Semantics, and (3) Evolution Semantics. We propose that IoT architectures include prescriptive models and processes to support the analysis and design of flows, qualities, and evolutions in IoT applications. The goal is to develop engineering principles and practices for maintaining intellectual control in the development of IoT systems.