![]() ![]() Such device drivers, however, should be customized for sensing and actuating nearby environments, and overhead is often involved due to human intervention for customizing and maintaining device software (Tucci et al. ![]() A large variety of IoT devices and their peripherals are available in consumer markets, and compatible device drivers should be developed for each peripheral (Toosi et al. IoT is composed of embedded devices equipped with low power sensors and actuators that are connected in wireless networking environments (Yang et al. The deployment of IoT devices with a richer variety of sensors and actuators can provide fine-grained monitoring and control larger regions with various usage contexts. In an IoT infrastructure, data collected from a large set of sensors is processed, analyzed, and often fed back to actuators or smart devices to control nearby environments (Chindenga et al. ![]() The recent arrival and proliferation of the Internet of things (IoT) has led to the development of infrastructure for capturing and storing data, ranging from small smart devices to smart cities (Mois et al. Our solution therefore enables a true PnP experience of sensors and actuator peripherals in IoT devices. The experimental results show that our generic platform covers most of the popular sensors available in the market. The generic platform then passes function-call name and configuration rules corresponding to the newly added peripheral device’s specification. In the proposed platform, IoT device characteristics, including I/O functions and configuration rules, are defined using custom-built IoT ontologies, and operational behaviors are inferred through SPARQL queries. To this end, we employ IoT ontologies and semantics as well as generic programming techniques in the generic platform in order to configure and control IoT devices. Since the generic device driver selectively operates most of the available function calls required in IoT devices, most of the programming work that is normally required for device customization is removed, and management overhead for software installation and maintenance can be minimized. IoT device behavior is then passed to the generic device driver to cover device-specific operation. To this end, we employ IoT ontologies and semantics to represent IoT device characteristics and to infer IoT device behaviors. This paper proposes a generic platform that enables plug-and-play (PnP) integration for sensors and actuators to allow the addition and removal of IoT device peripherals without re-customizing all the device drivers. ![]() Implementing compatible device drivers, however, often requires a burden of work. When creating your dashboards on the Arduino IoT Cloud you can link your widgets to multiple IoT projects for maximum flexibility.There is a large variety of Internet of things (IoT) devices and their peripherals available in consumer markets, and IoT deployers should work on customizing device drivers that are compatible with their peripherals. In the home: simply monitor your home automation systems, check your previous or actual energy consumption from the convenience of your sofa.Ĭreate your dashboards on from your computer or tablet and control them with IoT Cloud Remote from your iPhone. In the factory: constant visibility of the state of your manufacturing process status, with the ability to control your automation remotely. In the field: you can read the data from your soil sensors or start your irrigation system directly from anywhere. A powerful companion for the Arduino IoT Cloud – simply access, monitor and control your dashboards with a few screen taps.Īrduino IoT Cloud Remote can be very useful in a variety of use cases where you need to monitor or control regardless of the time or place: ![]()
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