Edge learning for B5G networks with distributed signal processing: Semantic communication, edge computing, and wireless sensing

W Xu, Z Yang, DWK Ng, M Levorato… - IEEE journal of …, 2023 - ieeexplore.ieee.org
… and designing upcoming B5G networks from the viewpoint of … B5G, and 2) provide the key
open problems in B5G raised in … of EL techniques for B5G networks, the main contributions of …

Integrated sensing, computation and communication in B5G cellular Internet of Things

Q Qi, X Chen, C Zhong, Z Zhang - … Transactions on Wireless …, 2020 - ieeexplore.ieee.org
… In this paper, we consider a general B5G cellular IoT network … stream sensing. The
contributions of this paper are three-fold: 1) We propose a comprehensive design framework for B5G

Big data challenges and data aggregation strategies in wireless sensor networks

S Boubiche, DE Boubiche, A Bilami… - IEEE access, 2018 - ieeexplore.ieee.org
… is to introduce the big data paradigm in wireless sensor networks, address its … in wireless
sensor networks. Also, this paper bases on the data requirements in wireless sensor networks

Big data collection in large-scale wireless sensor networks

AC Djedouboum, AA Abba Ari, AM Gueroui… - Sensors, 2018 - mdpi.com
… of the main operations performed in Wireless Sensor Networks (WSNs). … in sensor size and
cost, the variety of sensors available on the market, and the tremendous advances in wireless

Software-defined wireless sensor networks in smart grids: An overview

M Abujubbeh, F Al-Turjman, M Fahrioglu - Sustainable Cities and Society, 2019 - Elsevier
… , legacy-networking paradigms failed to address flexibility in their design to meet SG-networking
solutions namely, decoupling control from the data layer and network programmability, …

A survey on the role of wireless sensor networks and IoT in disaster management

A Adeel, M Gogate, S Farooq, C Ieracitano… - … on sensor networks, 2019 - Springer
… Intelligent infrastructure technologies such as computer models taught through machine
learning and calibrated on big data, including ground-based sensors, streaming video from …

Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges

CX Wang, M Di Renzo, S Stanczak… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
… of network management and optimization for B5G networks using AI technologies. AI algorithms
and applications to B5G networks … as wireless channel measurements, sensor readings, …

Wireless sensor network connectivity in heterogeneous 5G mobile systems

S Piltyay, A Bulashenko… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
… of wireless sensor network in heterogeneous 5G mobile systems. Wireless sensor networks
are an important part of modern heterogeneous 5G mobile systems and IoT networks. The …

Extracting kernel dataset from big sensory data in wireless sensor networks

S Cheng, Z Cai, J Li, H Gao - IEEE Transactions on Knowledge …, 2016 - ieeexplore.ieee.org
The amount of sensory data manifests an explosive growth due to the increasing popularity
of Wireless Sensor Networks (WSNs). The scale of sensory data in many applications has …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
… Because the energy of sensor nodes is limited and … and wireless sensor networks (WSN).
The purpose is to keep nodes/BSs in sleep mode as long as possible, maximizing the network