A Vision of IoT: Applications, Challenges, and Opportunities With China Perspective
By Shan-zhi Chen, Hui Xu, Dake Liu, Bo Hu, Hucheng Wang. IEEE Internet of Things Journal, 2014
1,042 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/0dbabbae7c61703536208468ac71c53c69766928
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Nei Kato
- Fengxiao Tang
- Bomin Mao
- Zubair Muhammad Fadlullah
- O. Elijah
- Xiao Wang
- Peilin Hong
- Tharek Abdul Rahman
In Computer Vision and Pattern Recognition
- Takeru Inoue
- Feiyue Wang
- Xiao Wang
- Nei Kato
- Bomin Mao
- Nenghai Yu
- Zubair Muhammad Fadlullah
- Fengxiao Tang
In Electrical and Electronic Engineering
- O. Elijah
- Xiao Wang
- Tharek Abdul Rahman
- Nei Kato
- Nenghai Yu
- Chee Yen (Bruce) Leow
- Zubair Muhammad Fadlullah
- Fengxiao Tang
Citations in the corpus
- Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management (2020, background): “In many situations, IoT is regarded as a new generation of Internet, as it expands the communication from human and human to human and things or things and things [6].”
- Healthchain: A Blockchain-Based Privacy Preserving Scheme for Large-Scale Health Data (2019, background): “• Supporting Large-Scale IoT Devices: It is estimated that there will be more than 24 billion connected IoT devices all over the world by 2020 [35].”
- Internet of Things (IoT) and the Energy Sector (2020, background): “The architectures also should not limit the users to use fixed and end-to-end IoT communications [149,150].”
- A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming (2019, background): “IoT offers appropriate solutions for multiple applications such as smart health care, smart cities, security, retail, traffic congestion industrial control and agriculture [3].”
- IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security? (2018, background): “tions (RFIDs), wireless sensor networks (WSNs), and cloud computing [4], IoT systems have to protect data privacy and address security issues such as spoofing attacks, intrusions, DoS attacks, distributed DoS (DDoS) attacks, jamming, eavesdropping, and malware [5], [6].”
- State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems (2017, background): “R ECENTLY, the rapid development of the current Internet and mobile communications industry has contributed to increasingly large-scale, heterogeneous, dynamic, and systematically complex networks [1]–[3].”
- An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges (2018, background): “Some of the challenges identified in the literature are security and privacy, data convergence and ownership, lack of interoperability, heterogeneity of IoT devices, uncertainty in business models [5], [107].”