شیوه های مدیریت داده ها در اینترنت اشیا
Abstract
1- Introduction
2- Internet of things verticals
3- Background and basic concepts of data management
4- Current proposals of data management systems in IoT
5- Discussion and open issues
6- IoT data requirements for processing and storage
7- Conclusion
Acknowledgements
References
Abstract
Internet of Things (IoT) is a network paradigm in which physical, digital, and virtual objects are equipped with identification, detection, networking, and processing functions to communicate with each other and with other devices and services on the Internet in order to perform the users’ required tasks. Many IoT applications are provided to bring comfort and facilitate the human life. In addition, the application of IoT technologies in the automotive industry has given rise to the concept of Industrial Internet of Things (IIoT) which facilitated using of Cyber Physic Systems, in which machines and humans interact. Due to the diversity, heterogeneity, and large volume of data generated by these entities, the use of traditional database management systems is not suitable in general. In the design of IoT data management systems, many distinctive principles should be considered. These different principles allowed the proposal of several approaches for IoT data management. Some middleware or architecture-oriented solutions facilitate the integration of generated data. Other available solutions provide efficient storage and indexing structured and unstructured data as well as the support to the NoSQL language. Thus, this paper identifies the most relevant concepts of data management in IoT, surveys the current solutions proposed for IoT data management, discusses the most promising solutions, and identifies relevant open research issues on the topic providing guidelines for further contributions.
Introduction
In computing science’s history, the Internet had become more present in people’s lives in a very short time than any other technology. It had revolutionized the possibility of people’s communication. Later, Internet involves the possibility of connecting machines, devices, software, and objects [1]. Through the use of the Transmission Control Protocol/Internet Protocol (TCP/IP) architecture, these objects can be connected a network. This allowed communication between them without human intervention. Most recently, a new concept called, Internet of Things (IoT), appears and it is considered the main evolution to the fourth generation of the Internet. IoT does not have a unambiguous and acceptable definition from users of the global community [2]. Only the term is defined by several entities associating academicians, researchers, practitioners, innovators, developers, and businessmen but its initial use was attributed to Kevin Ashton, an expert in digital innovation [3]. One of the best IoT definition considers it a dynamic and global network infrastructure, in which intelligent things (objects), subsystems and individual physical and virtual entities, are identifiable, autonomous, and self-configurable [4,5]. This sort of network has generally a large number of nodes (things) widely distributed on a given area and communicating among themselves in order to interact with environment by exchanging sensed data, while reacting to events and triggering actions to control the physical world. Each network node is considered smart (given by the software that allows autonomous behaviors) with generally very limited resources, especially those of storage, processing and energy. This implies, among other problems, the reliability and validity of data, performance, security, the privacy