A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

A survey of network lifetime maximization techniques in wireless sensor networks

H Yetgin, KTK Cheung, M El-Hajjar… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Emerging technologies, such as the Internet of Things, smart applications, smart grids, and
machine-to-machine networks stimulate the deployment of autonomous, self-configuring …

Machine learning for 6G wireless networks: Carrying forward enhanced bandwidth, massive access, and ultrareliable/low-latency service

J Du, C Jiang, J Wang, Y Ren… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

Throughput maximization for UAV-enabled mobile relaying systems

Y Zeng, R Zhang, TJ Lim - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we consider a novel mobile relaying technique, where the relay nodes are
mounted on unmanned aerial vehicles (UAVs) and hence are capable of moving at high …

Dynamic computation offloading for mobile-edge computing with energy harvesting devices

Y Mao, J Zhang, KB Letaief - IEEE Journal on Selected Areas …, 2016 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing
computation demands from mobile applications. By offloading the computationally intensive …

A survey of energy-efficient techniques for 5G networks and challenges ahead

S Buzzi, I Chih-Lin, TE Klein, HV Poor… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
After about a decade of intense research, spurred by both economic and operational
considerations, and by environmental concerns, energy efficiency has now become a key …

Deep deterministic policy gradient (DDPG)-based energy harvesting wireless communications

C Qiu, Y Hu, Y Chen, B Zeng - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
To overcome the difficulties of charging the wireless sensors in the wild with conventional
energy supply, more and more researchers have focused on the sensor networks with …

Energy harvesting wireless communications: A review of recent advances

S Ulukus, A Yener, E Erkip, O Simeone… - IEEE Journal on …, 2015 - ieeexplore.ieee.org
This paper summarizes recent contributions in the broad area of energy harvesting wireless
communications. In particular, we provide the current state of the art for wireless networks …

Advances in energy harvesting communications: Past, present, and future challenges

ML Ku, W Li, Y Chen, KJR Liu - IEEE Communications Surveys …, 2015 - ieeexplore.ieee.org
Recent emphasis on green communications has generated great interest in the
investigations of energy harvesting communications and networking. Energy harvesting from …

Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions

R Shakeri, MA Al-Garadi, A Badawy… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have recently rapidly grown to facilitate a wide range of
innovative applications that can fundamentally change the way cyber-physical systems …