Ubiquitous Computing and Computing Security of IoT by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030015664
Publisher: Springer International Publishing

The Perception Layer (PL), sometimes referred to as the Device Layer- is provides interfaces between the system and the physical world, mainly identifying objects and context, and acquiring data. Technologies that fall under this layer are sensors, QR codes, RFID, smart meters, and others. The next layer is the Network Layer (NL), which provides communication media between PL devices and upper layers in the architecture. The layer covers small-scale and wide-scale networks, and employs wireless communication technologies such as Wi-Fi, Bluetooth, and others. On top of the NL is the Middleware Layer (ML), which provides management services as well as databases, processing services, messaging brokers, and others. The layer is responsible for handling the heterogeneity of the devices in the IoT system and providing a seamless exchange of information. Following the ML is the Application Layer (AL) which provides interfaces between the users and the IoT system in the form of mobile applications, websites, reports, and others. A comparison of the discussed ubiquitous environments can then be conducted based on how they fit into IoT paradigm (Table 1). Some of the systems are custom-made; the developer is given the responsibility of choosing the product/technology for each element, and then integrate them together. This is highly inefficient considering that most systems, in essence, have the same requirements and are designed to achieve the same goal. A unified architecture for this class of systems will massively reduce the design and implementation time required to produce a system instance. Other works such as [11, 31–34], on the other hand, attempt to implement said unified architecture.Table 1Ubiquitous learning platforms as they fit into the IoT architecture

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