Results 41 to 50 of about 22,975 (251)
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
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 computation offloading and resource allocation in vehicular edge computing networks
Digital Communications and Networks, 2023 Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu +3 more
doaj +1 more source
Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing
, 2017 Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as ...
Brown, André EX +11 more
core +5 more sources
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
EURASIP Journal on Wireless Communications and Networking, 2020 Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables devices to offload workloads to nearby MEC servers and improve the quality of computation ...
Zhao Chen, Xiaodong Wang
doaj +1 more source
Task Offloading and Resource Scheduling in Hybrid Edge-Cloud Networks
IEEE Access, 2021 Computation-intensive mobile applications are explosively increasing and cause computation overload for smart mobile devices (SMDs). With the assistance of mobile edge computing and mobile cloud computing, SMDs can rent computation resources and offload ...
Qi Zhang +3 more
doaj +1 more source
Hyperprofile-based Computation Offloading for Mobile Edge Networks
, 2017 In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks.
Calyam, Prasad +5 more
core +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 +4 more
wiley +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
Advanced Robotics Research, EarlyView.This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source