Edge computing-enabled internet of vehicles: Towards federated learning empowered scheduling
F Sun, Z Zhang, S Zeadally, G Han… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Classical edge computing algorithms assume that the execution time is always known in
resource allocation. However, in practice, the execution time in the edge server is hard to …
resource allocation. However, in practice, the execution time in the edge server is hard to …
Optimal resource allocation in energy-efficient Internet-of-Things networks with imperfect CSI
Internet of Things (IoT) is an emerging networking paradigm that enhances smart device
communications through Internet-enabled systems. Due to massive IoT devices connectivity …
communications through Internet-enabled systems. Due to massive IoT devices connectivity …
Quantum-inspired machine learning for 6G: Fundamentals, security, resource allocations, challenges, and future research directions
Quantum computing is envisaged as an evolving paradigm for solving computationally
complex optimization problems with a large-number factorization and exhaustive search …
complex optimization problems with a large-number factorization and exhaustive search …
A hybrid machine learning model for demand prediction of edge-computing-based bike-sharing system using Internet of Things
T Xu, G Han, X Qi, J Du, C Lin… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The rapid development of Internet-of-Things technologies (such as edge computing) has
promoted the development of numerous emerging urban applications, particularly smart …
promoted the development of numerous emerging urban applications, particularly smart …
Autonomous cooperative flocking for heterogeneous unmanned aerial vehicle group
Multi-UAV is a complete system represented by multiple unmanned aerial vehicles (UAV)
through collaborative technology. Besides, the UAV group has the advantages in the …
through collaborative technology. Besides, the UAV group has the advantages in the …
energy-efficient cluster-based routing protocol for wsn based on hybrid bso–tlbo optimization model
K Krishnan, B Yamini, WM Alenazy… - The Computer …, 2021 - academic.oup.com
The most famous wireless sensor networks is one of the cheapest and rapidly evolving
networks in modern communication. It can be used to sense various substantial and …
networks in modern communication. It can be used to sense various substantial and …
Adaptive traffic engineering based on active network measurement towards software defined internet of vehicles
With the rapid development of urbanization, enormous amounts of vehicular services have
been emerging and challenge both the architectures and protocols of the Internet of …
been emerging and challenge both the architectures and protocols of the Internet of …
Potentials and prospects of bicycle sharing system in smart cities: A review
S Shen, CX Lv, H Zhu, LJ Sun… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
As a typical example of an Intelligent Transport System (ITS) in a smart city, the bicycle
sharing is developing so fast and changing the citizens' travel habits to a large extent in …
sharing is developing so fast and changing the citizens' travel habits to a large extent in …
Energy efficient clustering based routing technique in WSN using brain storm optimization
SH Sackey, JA Ansere, JH Anajemba… - 2019 15th …, 2019 - ieeexplore.ieee.org
In Wireless Sensor Networks (WSNs), clustering has continued to be one of the most
informed concerns when it comes to the lifetime of the network. However, we cannot study …
informed concerns when it comes to the lifetime of the network. However, we cannot study …
Energy efficient resource optimization in cooperative Internet of Things networks
Abstract Internet of Things (IoT) network has been envisioned as a promising technology to
satisfy the exponentially growing mobile traffic requirements. Cooperative communication …
satisfy the exponentially growing mobile traffic requirements. Cooperative communication …