Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules

Typical Internet of Things (IoT) applications involve collecting information automatically from diverse geographically-distributed smart sensors and concentrating the information into more powerful computers. The Raspberry Pi platform has become a very interesting choice for IoT applications for several reasons: (1) good computing power/cost ratio; (2) high availability; it has become a de facto hardware standard; and (3) ease of use; it is based on operating systems with a big community of users. In IoT applications, data are frequently carried by means of wireless sensor networks in which energy consumption is a key issue. Energy consumption is especially relevant for smart sensors that are scattered over wide geographical areas and may need to work unattended on batteries for long intervals of time. In this scenario, it is convenient to ease the construction of IoT applications while keeping energy consumption to a minimum at the sensors. This work proposes a possible gateway implementation with specific technologies. It solves the following research question: how to build gateways for IoT applications with Raspberry Pi and low power IQRF communication modules. The following contributions are presented: (1) one architecture for IoT gateways that integrates data from sensor nodes into a higher level application based on low-cost/low-energy technologies; (2) bindings in Java and C that ease the construction of IoT applications; (3) an empirical model that describes the consumption of the communications at the nodes (smart sensors) and allows scaling their batteries; and (4) validation of the proposed energy model at the battery-operated nodes.This work was supported in part by the University of the Basque Country (UPV/EHU) under projects EHU13/42 and UFI11/28 and by the Basque Government (GV/EJ) under projects CPS4PSS ETORTEK14/10 and Thinking Factory ETORGAI14

A Model for System Resources in Flexible Time-Triggered Middleware Architectures

Part 5: Algorithms, Models and SimulationsInternational audienceMiddleware has become a key element in the development of distributed Cyber Physical Systems (CPS). Such systems often have strict non-functional requirements, and designers need a means to predict and manage non-functional properties. In this work, the authors present a mathematical model for the most relevant resources managed by FTT middleware architectures; namely, (1) processor, (2) memory, (3) energy and (4) network. This model can be used both off-line for simulation and designing purposes of a Cyber Physical System (CPS), or in run-time within an admission test or inside the algorithm of a specific scheduling policy executed by the middleware. In such case, the admission test is aimed at predicting whether a system fulfils the non-functional requirements or not before carrying out any modification in its execution plan at run-time