توضیحات
Connectivity is probably the most basic building block of the IoT paradigm. Up to now, the two main approaches to provide data access to things have been based on either multihop mesh networks using short-range communication technologies in the unlicensed spectrum, or long-range legacy cellular technologies, mainly 2G/GSM/GPRS, operating in the corresponding licensed frequency bands. Recently, these reference models have been challenged by a new type of wireless connectivity, characterized by low-rate, long-range transmission technologies in the unlicensed sub-gigahertz frequency bands, used to realize access networks with star topology referred to as low-power WANs (LPWANs). In this article, we introduce this new approach to provide connectivity in the IoT scenario, discussing its advantages over the established paradigms in terms of efficiency, effectiveness, and
Introduction
architectural design, particularly for typical smart city applications The Internet of Things (IoT) paradigm refers to
a network of interconnected things, that is, devices such as sensors and/or actuators, equipped with a telecommunication interface, and processing and storage units. This communication paradigm should enable seamless integration of potentially any object with the Internet, thus allowing new forms of interactions between
human beings and devices, or directly between devices according to what is commonly referred to as the machine-to-machine (M2M) communication paradigm [1]
The development of the IoT is an extremely challenging topic, and the debate on how to put it into practice is still open. The discussion involves all layers of the protocol stack, from physical transmission up to data representation
and service composition [2]. However, the whole IoT system rests on the wireless technologies that are used to provide data access to the end devices
S:Persian Channel of IEEE ComSoc
Year:2016
By:Marco Centenaro, Lorenzo Vangelista, Andrea Zanella, and Michele Zorzi
File Information :English Lanuage/8 Page/Size :1.4 M
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منبع:Persian Channel of IEEE ComSoc
سال :2016
کاری از :Marco Centenaro, Lorenzo Vangelista, Andrea Zanella, and Michele Zorzi
اطلاعات فایل :زبان انگلیسی/8 صفحه/حجم:1.4 M
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