Industrial internet: A survey on the enabling technologies, applications, and challenges

JQ Li, FR Yu, G Deng, C Luo, Z Ming… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
This paper provides an overview of the Industrial Internet with the emphasis on the
architecture, enabling technologies, applications, and existing challenges. The Industrial …

Artificial intelligence-based techniques for emerging heterogeneous network: State of the arts, opportunities, and challenges

X Wang, X Li, VCM Leung - IEEE Access, 2015 - ieeexplore.ieee.org
Recently, mobile networking systems have been designed with more complexity of
infrastructure and higher diversity of associated devices and resources, as well as more …

Optimal UAV caching and trajectory in aerial-assisted vehicular networks: A learning-based approach

H Wu, F Lyu, C Zhou, J Chen, L Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
In this article, we investigate the UAV-aided edge caching to assist terrestrial vehicular
networks in delivering high-bandwidth content files. Aiming at maximizing the overall …

A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks

PCS Rao, PK Jana, H Banka - Wireless networks, 2017 - Springer
Clustering has been proven to be one of the most efficient techniques for saving energy of
wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster …

A hybrid path planning method in unmanned air/ground vehicle (UAV/UGV) cooperative systems

J Li, G Deng, C Luo, Q Lin, Q Yan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we study the automatic ground map building and efficient path planning in
unmanned aerial/ground vehicle (UAV/UGV) cooperative systems. Using the UAV, a ground …

EE-LEACH: development of energy-efficient LEACH Protocol for data gathering in WSN

GS Arumugam, T Ponnuchamy - EURASIP Journal on Wireless …, 2015 - Springer
A wireless sensor network (WSN) consists of a huge number of sensor nodes that are
inadequate in energy, storage and processing power. One of the major tasks of the sensor …

Particle swarm optimization for cooperative multi-robot task allocation: a multi-objective approach

C Wei, Z Ji, B Cai - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
This letter presents a new Multi-Objective Particle Swarm Optimization (MOPSO) approach
to a Cooperative MultiRobot Task Allocation (CMRTA) problem, where the robots have to …

Similarity and economy of scale in urban transportation networks and optimal transport-based infrastructures

D Leite, C De Bacco - Nature Communications, 2024 - nature.com
Designing and optimizing the structure of urban transportation networks is a challenging
task. In this study, we propose a method inspired by optimal transport theory and the …

A survey of self-organization mechanisms in multiagent systems

D Ye, M Zhang, AV Vasilakos - IEEE Transactions on Systems …, 2016 - ieeexplore.ieee.org
This paper surveys the literature over the last decades in the field of self-organizing
multiagent systems. Self-organization has been extensively studied and applied in …

LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks

PK Batra, K Kant - Wireless Networks, 2016 - Springer
Battery power is a critical resource of Wireless Sensor Networks (WSNs). Therefore, an
effective operation of WSNs depend upon the efficient use of its battery resource. Cluster …