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Unlocking Unlicensed Band Potential to Enable URLLC in Cloud Robotics for Ubiquitous IoT
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Cloud robotics (CR) support extremely high reliability and low-latency communications in ubiquitous Internet of Things applications. However, many of those applications currently rely on wired connection, limiting their ...
Green internet of things using UAVs in B5G networks: A review of applications and strategies
(
Elsevier B.V.
, 2021 , Article)
Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a ...
Edge Intelligence for Empowering IoT-Based Healthcare Systems
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the increasing demands on this critical ...
Budgeted online selection of candidate iot clients to participate in federated learning
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ...
Joint resource allocation and power control for D2D communication with deep reinforcement learning in MCC
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Elsevier B.V.
, 2021 , Article)
Mission-critical communication (MCC) is one of the main goals in 5G, which can leverage multiple device-to-device (D2D) connections to enhance reliability for mission-critical communication. In MCC, D2D users can reuses ...
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT network. For this purpose, numerous ...
A method of chained recommendation for charging piles in internet of vehicles
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Springer
, 2021 , Article)
With the popularization of new energy electric vehicles (EVs), the recommendation algorithm is widely used in the relatively new field of charge piles. At the same time, the construction of charging infrastructure is facing ...
Privacy and security issues in online social networks
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MDPI AG
, 2018 , Article)
The advent of online social networks (OSN) has transformed a common passive reader into a content contributor. It has allowed users to share information and exchange opinions, and also express themselves in online virtual ...
Privacy Leakage in Smart Homes and Its Mitigation: IFTTT as a Case Study
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The combination of smart home platforms and automation apps introduce many conveniences to smart home users. However, this also brings the potential of privacy leakage. If a smart home platform is permitted to collect all ...