Results 71 to 80 of about 3,036 (257)

Edge computational task offloading scheme using reinforcement learning for IIoT scenario

ICT Express, 2020
In this paper, end devices are considered here as agent, which makes its decisions on whether the network will offload the computation tasks to the edge devices or not.
Md. Sajjad Hossain, Cosmas Ifeanyi Nwakanma, Jae Min Lee, Dong-Seong Kim   +3 more
doaj   +1 more source

Reconfigurable Design and Optimization‐Based Control of an Integrated Leg‐Arm Robot for Space Applications With an Underactuated Body

Advanced Intelligent Systems, EarlyView.
A quadrupedal integrated leg‐arm robot with an underactuated reconfigurable body is developed. By using a Sarrus mechanism as the body, the robot enables reconfiguration through its supporting limbs, achieving mode switching without additional actuators.
Xinghan Zhuang, Kun Xu, Shutao Wu, Haoyuan Liu, Bochao Song, Jiawei Chen, Peijin Zi, Tao Zhang, Xilun Ding   +8 more
wiley   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source

Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks

IEEE Open Journal of the Communications Society
Computation offloading in Internet of Vehicles (IoV) networks is a promising technology for transferring computation-intensive and latency-sensitive tasks to mobile-edge computing (MEC) or cloud servers.
Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien   +5 more
doaj   +1 more source

Stochastic Computation Offloading and Scheduling Based on Mobile Edge Computing

IEEE Access, 2019
To improve the quality of service (QoS) for mobile users (MUs) and the quality of experience (QoE) of mobile devices (MDs), mobile edge computing (MEC) is a promising approach that offloads a part of the computing task from MDs to nearby MUs.
Xiao Zheng, Mingchu Li, Muhammad Tahir, Yuanfang Chen, Muhammad Alam   +4 more
doaj   +1 more source

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +1 more source

The method of intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement

IET Networks, EarlyView., 2022
Abstract This research aims to study the intelligent wireless sensor to improve the water permeability of permeable asphalt concrete pavement. The water permeability of pavement is extremely important for the traffic environment. This study first briefly introduces the background and significance analysis, and then exemplifies the deployment algorithm ...
Xingmei Zhang, Cong Xu, Qi Lei
wiley   +1 more source

Efficient Time and Energy Optimization in NOMA-Enabled Mobile Edge Computing Through Partial Offloading

Tsinghua Science and Technology
Mobile Edge Computing (MEC) has been proposed to enhance the performance of Internet of Things (IoTs) devices by offloading computation-intensive tasks to nearby edge clouds, while Non-Orthogonal Multiple Access (NOMA) enables multiple IoTs devices to ...
Dongqing Liu, Yongwen Liu, Lyes Khoukhi, Abdelhakim Hafid, Lei Zhang, Bo Wang   +5 more
doaj   +1 more source

Distributed wireless network resource optimisation method based on mobile edge computing

IET Networks, EarlyView., 2022
This paper mainly compares the network ranking leader, consumption amount and network signal reception of the three algorithms. The study found that in terms of network sort captain, there are significant differences between the CPLEX algorithm, the CCST algorithm, and edge computing methods. The CCST algorithm and edge computing have little difference
Jiongting Jiang, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source