Results 11 to 20 of about 434 (99)

Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review examines the integration of federated learning (FL) in the Internet of Medical Things (IoMT), enhanced by 5G/6G technologies, to improve healthcare systems with decentralized data processing, enhanced privacy, reduced latency, and efficient resource utilization, while addressing emerging challenges and future research directions.
Abdul Ahad   +6 more
wiley   +1 more source

A Massive Grant‐Free Random Access Scheme Based on Spectrum Sensing and Preamble Delay

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This paper introduces cognitive radio (CR) and preamble delay (PD) to reduce access collisions, together with non‐orthogonal multiple access (NOMA) to improve spectrum efficiency, and thus proposes an efficient CR‐NOMA‐PD‐based massive grant‐free random multiple access scheme.
Jing Zhang   +5 more
wiley   +1 more source

Communication‐Security Co‐Design for Federated Learning in Grant‐Free NOMA IoT Networks

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
This article presents SA‐PPO, a Security‐Aware Proximal Policy Optimisation framework for federated learning over grant‐free NOMA (non‐orthogonal multiple access) in IoT networks. By jointly optimising access control, resource allocation, and trust‐weighted aggregation using cross‐layer indicators, SA‐PPO enhances both communication reliability and ...
Emmanuel Atebawone   +5 more
wiley   +1 more source

Securing Machine‐Type Communications: A Survey on Privacy Threats and Countermeasures

open access: yesIET Information Security, Volume 2026, Issue 1, 2026.
Machine‐type communication (MTC) is a fundamental enabler of the Internet of Things (IoT) and emerging 5G/6G networks, supporting massive deployments of heterogeneous and resource‐constrained devices. However, large‐scale data collection, persistent connectivity, and limited device capabilities introduce critical privacy challenges that are not ...
Amirhosein Imani   +2 more
wiley   +1 more source

A Biologically Inspired Intelligent and Energy Efficient Route Optimization Clustering Algorithm for Internet of Vehicles (IoV)

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This work proposes COANET (crayfish optimization algorithm‐based route optimization for IoV Networks), which is an innovative bio‐inspired framework based on the crayfish optimization algorithm. COANET's core utilized the crayfish behaviours of foraging, competition and summer resort to allow the dynamic balancing of exploration and exploitation during
Ghassan Husnain   +5 more
wiley   +1 more source

CA‐PPO: Collision‐Aware Reinforcement Learning for Grant‐Free NOMA in Wireless Federated Learning

open access: yesIET Networks, Volume 15, Issue 1, January/December 2026.
This paper proposes a collision‐aware proximal policy optimisation (CA‐PPO) framework for joint clustering and power allocation in grant‐free NOMA–enabled wireless federated learning systems. By explicitly accounting for random access collisions, SIC decoding failures and energy–latency constraints, the proposed approach stabilises learning under ...
Emmanuel Atebawone   +5 more
wiley   +1 more source

Artificial Intelligence Applications in Smart Cities: Integrating Communication, Energy Management, Cybersecurity and Internet of Things

open access: yesThe Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
ABSTRACT Smart cities represent transformative urban ecosystems, leveraging advanced technologies to address challenges posed by rapid urbanisation, energy efficiency demands, and sustainability goals. Despite extensive research, a comprehensive and integrated literature analysis combining AI‐based communication, energy management, cybersecurity, and ...
Maaz Tahir Malik   +5 more
wiley   +1 more source

Dynamic Resource Allocation for 5G and Beyond Networks Slicing Based on Meta‐Federated Deep Reinforcement Learning

open access: yesThe Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
This study introduces a meta‐federated deep reinforcement learning (Meta‐FedDRL) framework to address dynamic resource allocation (DRA) challenges in ultra‐dense and heterogeneous 5G and beyond network slicing. The proposed approach enables distributed learning while preserving data confidentiality and enhancing generalization.
Faustin Samafou   +4 more
wiley   +1 more source

6G Wireless Communications Enabled by the Blockchain: Privacy and Middleware Architecture

open access: yesInternational Journal of Distributed Sensor Networks, Volume 2026, Issue 1, 2026.
6G is transformational and brings revolutionary innovations in virtually all sectors, such as healthcare, autonomous systems, and manufacturing, through ultralow latency, massive connection, and far superior computing capabilities than any previous generation.
Moumita Chanda   +4 more
wiley   +1 more source

A Comprehensive Review of Battery‐Free Energy Efficient RF and Microwave Systems

open access: yesJournal of Engineering, Volume 2026, Issue 1, 2026.
Battery‐free radiofrequency (RF) and microwave systems have emerged as a promising solution for enabling long‐lifetime, maintenance‐free wireless sensing and communication platforms by eliminating conventional battery dependence. These systems operate by harvesting ambient or dedicated electromagnetic energy, converting it to usable electrical power ...
Stella N. Arinze   +2 more
wiley   +1 more source

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