Results 41 to 50 of about 30,951 (271)
Task offloading method of edge computing in IoT based on Deep Q Learning Algorithm
Journal of Information and TelecommunicationTo improve the efficiency of task offloading in edge computing of the Internet of Things, a multi-task offloading optimization model combining software definition network and dual depth Q network is proposed. First of all, the edge computing framework of
Zhenzhen Dong, Mingjian Zhang
doaj +1 more source
Computation Rate Maximization for Wireless Powered Mobile Edge Computing
, 2017 Integrating mobile edge computing (MEC) and wireless power transfer (WPT) has been regarded as a promising technique to improve computation capabilities for self-sustainable Internet of Things (IoT) devices.
Wang, Feng
core +1 more source
Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks
2025 IEEE Wireless Communications and Networking Conference (WCNC)6 pages, 3 ...
Alireza Ebrahimi, Fatemeh Afghah
openaire +2 more sources
Dynamic Computation Offloading for Mobile-Edge Computing with Energy Harvesting Devices
, 2016 Mobile-edge computing (MEC) is an emerging paradigm to meet the ever-increasing computation demands from mobile applications. By offloading the computationally intensive workloads to the MEC server, the quality of computation experience, e.g., the ...
Letaief, Khaled B. +2 more
core +2 more sources
Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing [PDF]
, 2018 With the rapid development of smart phones, enormous amounts of data are generated and usually require intensive and real-time computation. Nevertheless, quality of service (QoS) is hardly to be met due to the tension between resourcelimited (battery ...
Gao, Lingfang
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MDP-Based Scheduling Design for Mobile-Edge Computing Systems with Random User Arrival
, 2019 In this paper, we investigate the scheduling design of a mobile-edge computing (MEC) system, where the random arrival of mobile devices with computation tasks in both spatial and temporal domains is considered.
Huang, Shanfeng, Lv, Bojie, Wang, Rui
core +1 more source
Echinoderm‐Inspired Autonomy for Soft‐Legged Robots
Advanced Robotics Research, EarlyView.Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker +2 more
wiley +1 more source
物联网学报, 2020 In the industrial Internet of things,limited by the computing capacity of field devices,the task offloading based on edge computing can effectively alleviate the computing burden of field devices and provide low-latency computing services.Moreover ...
Peng ZHOU, Jincheng XU, Bo YANG
doaj +2 more sources
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Advanced Robotics Research, EarlyView.Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source