مقاله انگلیسی رایگان در مورد شیوه های مدیریت داده ها در اینترنت اشیا – الزویر ۲۰۲۰

مقاله انگلیسی رایگان در مورد شیوه های مدیریت داده ها در اینترنت اشیا – الزویر ۲۰۲۰

 

مشخصات مقاله
ترجمه عنوان مقاله شیوه های مدیریت داده ها در اینترنت اشیا
عنوان انگلیسی مقاله Data management techniques for Internet of Things
انتشار مقاله سال ۲۰۲۰
تعداد صفحات مقاله انگلیسی ۱۹ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۶٫۰۳۲ در سال ۲۰۱۹
شاخص H_index ۱۳۴ در سال ۲۰۲۰
شاخص SJR ۱٫۸۲۱ در سال ۲۰۱۹
شناسه ISSN ۰۸۸۸-۳۲۷۰
شاخص Quartile (چارک) Q1 در سال ۲۰۱۹
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی فناوری اطلاعات، مهندسی کامپیوتر
گرایش های مرتبط اینترنت و شبکه های گسترده، هوش مصنوعی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس سیستم های مکانیکی و پردازش سیگنال – Mechanical Systems and Signal Processing
دانشگاه  University of Assane Seck, Ziguinchor, Senegal
کلمات کلیدی مدیریت داده ها، اینترنت اشیا، اپلیکیشن های اینترنت اشیا، کلان داده ها، اینترنت اشیای صنعتی
کلمات کلیدی انگلیسی Data management, Internet of Things, IoT applications, Big data, Industrial Internet of Things
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ymssp.2019.106564
کد محصول E14159
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

۱٫ Introduction

۲٫ Internet of things verticals

۳٫ Background and basic concepts of data management

۴٫ Current proposals of data management systems in IoT

۵٫ Discussion and open issues

۶٫ IoT data requirements for processing and storage

۷٫ Conclusion

Declaration of Competing Interest

Acknowledgements

References

 

بخشی از متن مقاله:

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.

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