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A major challenge in designing Internet of Things (IoT) systems is to meet various non-functional requirements such as lifetime, reliability, throughput, delay, and so forth. Furthermore, IoT systems tend to have competing requirements, which exacerbate these design challenges. We analyze this problem in detail and propose a model-driven approach to optimize an IoT application regarding to its non-functional...
IoT applications are essentially characterized by their highly dynamic nature, in which the configurations of both network and software systems may change. In the context of IoT software services, modifications can occur during application lifespan due to updates and amendments. Hence, third-party applications and services depending on the changed services need to take appropriate coordination and...
This paper presents FRASAD, an effective model-driven software development framework to manage the complexity of Internet of Things (IoT) applications. We propose a node-centric software architecture and a rule-based programming model that allow designers to describe their application using only sensor node domain concepts. The final application code is successively generated from the initial models...
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