Internet of Things: Architectures, Protocols, and Applications
By Pallavi Sethi, Smruti Ranjan Sarangi. Journal of Electrical and Computer Engineering, 2017
1,407 citations recorded by the source corpus.
The Internet of Things (IoT) is defined as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other to serve a meaningful purpose. In this paper, we survey state-of-the-art methods, protocols, and applications in this new emerging area. This survey paper proposes a novel taxonomy for IoT technologies, highlights some of the most important technologies, and profiles some applications that have the potential to make a striking difference in human life, especially for the differently abled and the elderly. As compared to similar survey papers in the area, this paper is far more comprehensive in its coverage and exhaustively covers most major technologies spanning from sensors to applications.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/95b6f66798c968bff6ff35119934243a7eeab6c7
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
- Xiaojiang Du
- X. Masip-Bruin
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Amr M. Mohamed
- Keqiu Li
- Mohsen Guizani
- Bilal Muhammad Khan
In Computer Vision and Pattern Recognition
- X. Masip-Bruin
- Mohammed Ali Al-Garadi
- A. Al-Ali
- Amr M. Mohamed
- Xiaojiang Du
- Mohsen Guizani
- Admela Jukan
- Tie Qiu
Citations in the corpus
- IoT Privacy and Security: Challenges and Solutions (2020, background): “Many real-life applications can utilize this model, such as healthcare, military, disaster recovery, and many others [35].”
- Edge-computing-driven Internet of Things: A Survey (2022, neutral): “In the IoT aspect, a plethora of surveys have referred to architecture [57, 157], communication [106, 124], IoT application [61, 159] as well as security and privacy [10, 110].”
- A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration (2018, methodology): “While cloud-based architectures are being currently used for that purpose, the new fog computing paradigm is envisioned to scale and optimize the IoT infrastructures [3].”
- How Can Heterogeneous Internet of Things Build Our Future: A Survey (2018, background): “Most survey papers focus on WSN [25]–[27], software platforms and hardware items [37]–[39], architectures [47]–[49], and applications of IoT [50]–[52].”
- IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey (2018, background): “Researchers proposed five-layer architecture to make the IoT secure [49–51].”
- Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023, background): “They are usually categorized into pneumatic, electrical, and hydraulic categories [77].”
- Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, neutral): “, RFID, Zigbee, Bluetooth, etc [28]-[31].”
- Internet of Things (IoT) and the Energy Sector (2020, background): “Based on the study in [89], Weightless is a suitable wireless technology can be used in smart home IoT applications for smart metering and smart grid communications.”
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, methodology): “The third function is device discovery [45] and context awareness, which should be provided by a middleware to support the objects’ awareness of all other surrounding IoT objects.”
- A Survey of Internet of Things (IoT) Authentication Schemes (2019, background): “In [22], the authors considered a non-layered approach for the architecture (e.”
- The Internet of Things: Impact and Implications for Health Care Delivery (2020, background): “Edge cloud is a newer cloud computing concept that allows IoT sensors and network gateways to process and analyze data themselves (ie, at the edge ) in a decentralized fashion, reducing the amount of data required to be communicated and managed at a centralized location [12,50].”