[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems …, 2019 - Elsevier
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Synergy of big data and 5G wireless networks: opportunities, approaches, and challenges

N Zhang, P Yang, J Ren, D Chen… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
This article presents the synergistic and complementary features of big data and 5G wireless
networks. An overview of their interplay is provided first, including big-data-driven …

A framework of fog computing: Architecture, challenges, and optimization

Y Liu, JE Fieldsend, G Min - IEEE Access, 2017 - ieeexplore.ieee.org
Fog computing (FC) is an emerging distributed computing platform aimed at bringing
computation close to its data sources, which can reduce the latency and cost of delivering …

Selective offloading in mobile edge computing for the green internet of things

X Lyu, H Tian, L Jiang, A Vinel, S Maharjan… - IEEE …, 2018 - ieeexplore.ieee.org
Mobile edge computing provides the radio access networks with cloud computing
capabilities to fulfill the requirements of the Internet of Things services such as high reliability …

ThriftyEdge: Resource-efficient edge computing for intelligent IoT applications

X Chen, Q Shi, L Yang, J Xu - IEEE network, 2018 - ieeexplore.ieee.org
In this article we propose a new paradigm of resource-efficient edge computing for the
emerging intelligent IoT applications such as flying ad hoc networks for precision agriculture …

[HTML][HTML] Energy-efficient task offloading strategy in mobile edge computing for resource-intensive mobile applications

MPJ Mahenge, C Li, CA Sanga - Digital Communications and Networks, 2022 - Elsevier
Abstract Mobile Edge Computing (MEC) has been considered a promising solution that can
address capacity and performance challenges in legacy systems such as Mobile Cloud …

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 …

Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges

X Kong, X Liu, B Jedari, M Li, L Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Dynamic channel access to improve energy efficiency in cognitive radio sensor networks

J Ren, Y Zhang, N Zhang, D Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Wireless sensor networks operating in the license-free spectrum suffer from uncontrolled
interference as those spectrum bands become increasingly crowded. The emerging …

A survey on security, privacy, and trust in mobile crowdsourcing

W Feng, Z Yan, H Zhang, K Zeng… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
With the popularity of sensor-rich mobile devices (eg, smart phones and wearable devices),
mobile crowdsourcing (MCS) has emerged as an effective method for data collection and …