Multi-robot systems and cooperative object transport: Communications, platforms, and challenges

X An, C Wu, Y Lin, M Lin… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Multi-robot systems gain considerable attention due to lower cost, better robustness, and
higher scalability as compared with single-robot systems. Cooperative object transport, as a …

A novel secured multi-access edge computing based vanet with neuro fuzzy systems based blockchain framework

M Poongodi, S Bourouis, AN Ahmed… - Computer …, 2022 - Elsevier
In vehicle ad-hoc networks, the progression of wireless communication technology to 6G,
overcomes storage, processing, privacy, and power limits to create an efficient and …

[HTML][HTML] Blockchain for vehicular Internet of Things: Recent advances and open issues

C Peng, C Wu, L Gao, J Zhang, KL Alvin Yau, Y Ji - Sensors, 2020 - mdpi.com
The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of
important applications including collaborative autonomous driving and advanced …

On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives

A Rahman, K Hasan, D Kundu, MJ Islam… - Future Generation …, 2023 - Elsevier
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …

Integration of blockchain and edge computing in internet of things: A survey

H Xue, D Chen, N Zhang, HN Dai, K Yu - Future Generation Computer …, 2023 - Elsevier
As an important technology to ensure data security, consistency, traceability, etc., blockchain
has been increasingly used in Internet of Things (IoT) applications. The integration of …

Towards V2I age-aware fairness access: A DQN based intelligent vehicular node training and test method

W Qiong, S Shuai, W Ziyang, F Qiang… - Chinese Journal of …, 2023 - ieeexplore.ieee.org
Vehicles on the road exchange data with base station frequently through vehicle to
infrastructure (V2I) communications to ensure the normal use of vehicular applications …

A novel cost optimization strategy for SDN-enabled UAV-assisted vehicular computation offloading

L Zhao, K Yang, Z Tan, X Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular computation offloading is a well-received strategy to execute delay-sensitive
and/or compute-intensive tasks of legacy vehicles. The response time of vehicular …

A collaborative V2X data correction method for road safety

L Zhao, H Chai, Y Han, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving safety is one of the most important points to concern on the road. Vehicles constantly
generate messages under vehicle-to-everything (V2X) assisted driving. Especially, in dense …

Multimodal semantic communication accelerated bidirectional caching for 6G MEC

C Wang, X Yu, L Xu, Z Wang, W Wang - Future Generation Computer …, 2023 - Elsevier
Abstract Mobile Edge Computing (MEC) enables immersive XR with multimodal data by
coordinating communication, computation, and caching (3C) resources upcoming 6G. The …

Task offloading and resource allocation for IoV using 5G NR-V2X communication

S Raza, S Wang, M Ahmed, MR Anwar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional
ability to improve the vehicles' capacity to manage computation-intensive applications with …