A review and state of art of Internet of Things (IoT)

AA Laghari, K Wu, RA Laghari, M Ali… - Archives of Computational …, 2021 - Springer
Abstract The Internet of Things (IoT) is basically like a system for connecting computer
devices, mechanical and digital machines, objects, or individuals provided with the unique …

Edge-computing-driven internet of things: A survey

L Kong, J Tan, J Huang, G Chen, S Wang, X Jin… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

Smart choice for the smart grid: Narrowband Internet of Things (NB-IoT)

Y Li, X Cheng, Y Cao, D Wang… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
The low power wide area network (LPWAN) technologies, which is now embracing a
booming era with the development in the Internet of Things (IoT), may offer a brand new …

Narrowband internet of things: Implementations and applications

J Chen, K Hu, Q Wang, Y Sun, Z Shi… - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Recently, narrowband Internet of Things (NB-IoT), one of the most promising low power wide
area (LPWA) technologies, has attracted much attention from both academia and industry. It …

Narrowband internet of things: Evolutions, technologies, and open issues

J Xu, J Yao, L Wang, Z Ming, K Wu… - IEEE Internet of things …, 2017 - ieeexplore.ieee.org
We are on the threshold of the explosive growth in the global Internet-of-Things (IoT) market.
Comparing with the legacy human-centric applications, machine type communication …

Accuracy-guaranteed collaborative DNN inference in industrial IoT via deep reinforcement learning

W Wu, P Yang, W Zhang, C Zhou… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Collaboration among industrial Internet of Things (IoT) devices and edge networks is
essential to support computation-intensive deep neural network (DNN) inference services …

Data-oriented mobile crowdsensing: A comprehensive survey

Y Liu, L Kong, G Chen - IEEE communications surveys & …, 2019 - ieeexplore.ieee.org
Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …

Toward secure data sharing for the IoV: A quality-driven incentive mechanism with on-chain and off-chain guarantees

W Chen, Y Chen, X Chen… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Currently, data sharing for the Internet of Vehicles (IoV) applications has drawn much
attention in the framework of developing smart cities and smart transportation. A critical …

Sensing, communication and security planes: A new challenge for a smart city system design

H Habibzadeh, T Soyata, B Kantarci, A Boukerche… - Computer Networks, 2018 - Elsevier
Abstract The Internet of Things (IoT) era is evolving into sensor initiated, actuation-driven,
and machine intelligence-based decision making platform for smart cities. A smart city …