Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

By Ala Al-Fuqaha, Mohsen Guizani, M. Mohammadi, Mohammed Aledhari, Moussa Ayyash. 2015

7,425 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “Currently used service discovery protocols in IoT applications, such as multicast DNS (mDNS) or DNS Service Discovery (DNSSD) [1], need to be extended to support DL service discovery (e.”
Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges (2019, background): “2015 [6] Enabling technologies, protocols and applications of IoT Sec.”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “Applications and services under the ﬁrst category can include graphical rendering applications (e.g., 3D gaming, AR/VR, assisted reality, and cognitive assistance), intermediate data-processing (e.g., data analytics and video analysis), and low-latency applications (e.g., remote surgery on tactile I”
An IoT-cloud Based Wearable ECG Monitoring System for Smart Healthcare (2016, methodology): “Unlike the traditional HTTP protocol, theMQTT protocol is designed to maintain a long-lived connection between the device and the client [18].”
Enabling Massive IoT Toward 6G: A Comprehensive Survey (2021, background): “…a dynamic global network infrastructure with self-conﬁguring capabilities, IoT makes all things communicate with each other based on standard and interoperable communication protocols and realize information sharing and decision-making [71], which involves data acquisition, exchange, and analysis.”
A Survey on Big Data Market: Pricing, Trading and Protection (2018, background): “Thus, to quantify the cost for data collection, and handle diverse data sources, we need to understand how IoT works, and encourage all components to provide better performance in IoT [1], [53]–[55].”
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges (2017, background): “In IoT for instance, reference [29] surveys the technologies, protocols, and applications, while [30] reviews the security aspects.”
Ultra-Dense Networks: A Survey (2016, background): “tivity to communicate directly without human-intervention in order to provide smart services to users [152].”
Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, background): “There are a plethora of applications and services offered by the IoT ranging from critical infrastructure to agriculture, military, home appliances, and personal health-care [3].”
On Reducing IoT Service Delay via Fog Offloading (2018, background): “The IoT enables things to see and sense the environment, to make coordinated decisions, and to perform tasks based on these observations [2].”
Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution (2020, background): “W ITH the rapid development of wireless communication and artificial intelligence, vehicles have been becoming more interconnecting and intelligent in the era of the Internet of Things (IoT) [1], [2].”
IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey (2018, background): “They have become smart and perform their work robotically by taking help from the Internet [7,8].”
Mobile Edge Computing: A Survey (2018, background): “Big data is of paramount importance to businesses because it extracts analytics and useful information that may beneﬁt to different business segments [58].”