Basic Concepts of Internet of Things and Game Theory

Basic Concepts of Internet of Things and Game Theory

DOI: 10.4018/978-1-5225-1952-2.ch001
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Abstract

With the evolution of the Internet and related technologies, there has been an evolution of new paradigm, which is the Internet of Things (IoT). IoT is the network of physical objects, such as devices, embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data. In the IoT, a large number of objects are connected to one another for information sharing, irrespective of their locations (Corcoran, 2016). Even though the IoT was defined at 1999, the concept of IoT has been in development for decades. As the technology and implementation of the IoT ideas move forward, different views for the concept of the IoT have appeared (Ma, 2011). Based on different views, in this book, the IoT is defined as a kind of modern technology, implicating machine to machine communications and person to computer communications will be extended to everything from everyday household objects to sensors monitoring the movement. Currently, we can see a few key areas of focus for the Internet of Things (IoT) that will require special attention over the course of the next decade on the part of computer science, energy technology, networks, wireless communication, and system platform. There are already a number of implementation case studies emerging from companies across a range of industry sectors.
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Quality Of Service In Iot

The huge number of different links and interactions between IoT objects makes it a scalable complex system. In addition, some services in service-oriented IoT are required to be reconfigurable and composable for Quality of Service (QoS) aware services. Therefore, brings difficulties for satisfying the dynamic QoS requirements of services (Li, 2014). In this perspective, it is necessary to define service models, which can categorize IoT applications and then determine which QoS factors are necessary to satisfy the requirements of those services (Nef, 2012). Nowadays, a number of QoS models have been developed for traditional networks. However, the QoS management in IoT is still poorly studied. The definition of QoS in IoT is still not clear because the definition of service in IoT is not exactly the same, in which a service can be defined as the simple acquisition and processing of information and the decision making process in identification, communication, and so on. The traditional QoS attributes in terms of bandwidth, delay, jitter, and packet loss ratio are evidently inappropriate in IoT. In IoT, more QoS attributes are concerned, such as information accuracy, the network resources needed, required energy consumption, and the coverage of IoT. To solve the difficulties mentioned above, a new QoS model for service-oriented IoT is necessary (Nef, 2012).

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