مقاله انگلیسی رایگان در مورد تحلیل شباهت معنایی اینترنت اشیا – تیلور و فرانسیس ۲۰۱۸

Internet of Things (IoT) has gradually become one of the most popular topics among both academia and industry, and it is considered as a crucial part of future Internet. However, very few objective and systematic review was conducted to address high-value articles and summarize the intellectual components from journals for examination and identification of the intellectual core and structure of IoT. Therefore, this study conducted a co-citation analysis for IoT by using 68 high-value articles retrieved within 1457 source papers from Web of Science online database. By using factor analysis, ten critical factors were identified, which includes (1) frameworks and challenges of IoT; (2) current situation of IoT in different applications; (3) interactions of IoT; (4) security issues of IoT; (5) application domains of IoT; (6) data management of IoT; (7) IoT in product lifecycle management; (8) enabling technologies of IoT; (9) IoT in smart cities; (10) IoT in recommender systems. Hierarchical Custer Analysis and Multidimensional Scaling were used to graphically illustrate the intellectual elements of IoT. In the current findings, fundamental elements of IoT including architectural framework, enabling technologies, network communication, data management, and IoT interactions were discussed with a series of challenges for wider and deeper IoT applications.

Introduction

In the recent years, Information and Communication Technologies (ICTs) develop rapidly toward the directions of ‘Smart’ and ‘Ubiquitous’, more and more people no matter from academia or industry begin paying significant attention to Internet of Things (IoT). IoT refers to a global communication network interconnecting addressable physical and virtual objects through intelligent communication interfaces. (EPoSS 2008) It is initiated by the development of Radio-Frequency IDentification (RFID) and Electronic Product Code™ (EPC). Nowadays, IoT is generally associated with many modern technologies and concepts such as Big Data analytics, cloud computing (internet of services), Industry 4.0, ubiquitous computing and Machine to Machine (M2M). Therefore, IoT is believed in offering considerable potentials on researches and developments in various existing application domains such as logistics, healthcare, smart environment, personal and social domain, and even futuristic applications such as robot taxi and City Information Model (CIM). (Atzori, IERA, and Morabito 2010) According to a technology forecast report conducted by Gartner Inc., the number of IoT devices, which excludes PCs, tablets and smartphones, will reach 26 billion, and the generated incremental revenue will be over $300 billion in 2020 (Gartner 2013). Foreseeing this prospect, many IoT-based alliances have been established towards IoT’s research and development, such as Alliance for Internet of Things Innovation (AIOTI), IoT European Research Cluster (IERC), Internet of Things Consortium, and Internet Protocol for Smart Object (IPSO) Alliance. This prospect also attracts various companies investing on different aspects of IoT. For example, Garageio, Xively and Pubnub develop their business on remote product management; Sigfox, Qulsar and Numerex focus on the business of wireless M2M network; Japster Technology, BaseN and Carriots provide solutions of cloudbased IoT platform; And, OpenPicus, SmartThings, SolidRun and Intel supply IoT related hardware. Besides different organizations, different countries and regions have also established strategies to respond the wave of IoT, such as the ‘Smarter Planet’ of United State, the ‘Sensing China’ of China, the ‘IoT Strategic Research Roadmap’ of European Union, the ‘iJapan’ of Japan and the ‘u-Korea’ of South Korea (Zhang et al. 2015a).