Abstract
It is expected that the number of devices connecting to the Internet-of-Things (IoT) will increase geometrically in the future, with improvement of their functions. Such devices may create a huge amount of data to be processed in a limited time. Under the IoT environment, data management should play the role of an intermediate level between objects and devices that generate data and applications that access to the data for analysis and the provision of services. IoT interactively connects all communication devices and allows global access to the data generated by a device. Fog computing manages data and computation at the edge of the network near an end user and provides new types of applications and services, with low latency, high frequency bandwidth and geographical distribution. In this paper, we propose a fog computing architecture for efficiently and reliably delivering IoT data to the corresponding IoT applications while ensuring time sensitivity. Based on fog computing, the proposed architecture provides efficient power management in IoT device communication between sensors and secure management of data to be decrypted based on user attributes. The functional effectiveness and the safe data management of the method proposed are compared through experiments.
Highlights
With the development of the Internet of Things (IoT), a device could recognize the environment and conduct a certain function by itself
Internet of Things (IoT) is the intelligent environment that allows mutual communication users and things and things and things by connecting all things through wired or wireless networks, between users and things and things and things by connecting all things through wired or wireless based on Internet Communication Technology (ICT)
As calculation calculation is is conducted conducted at at aa network network edge edge near near an an provides a number of services such as calculation, saving and networking services at the network edge near an IoT device
Summary
With the development of the Internet of Things (IoT), a device could recognize the environment and conduct a certain function by itself. The number of application area of a sensor network is expanding and the demand on real-time processing and transferring of information to control a device of IoT is increasing [3]. Fog computing is a model to manage data, conducting near field communication with a sensor. A fog architecture for safe management of data generating each sensor is proposed. Section describes the conclusions this study andof possible topics future topics study. for future study
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