Results 41 to 50 of about 26,223 (296)
Optimal Multi-User Computation Offloading Strategy for Wireless Powered Sensor Networks
IEEE Access, 2020 Wireless sensors network (WSN) is widely used for environmental monitoring, surveillance, healthcare, and security services. One of the most critical challenges that WSN facing is the heavy computation requirements and limited energy storage.
Luhan Wang +4 more
doaj +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
Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT
Digital Communications and Networks, 2023 In view of the randomness distribution of multiple users in the dynamic large-scale Internet of Things (IoT) scenario, comprehensively formulating available resources for fog nodes in the area and achieving computation services at low cost have become ...
Siguang Chen, Bei Tang, Kun Wang
doaj +1 more source
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
Ultra-Low Latency Multi-Task Offloading in Mobile Edge Computing
IEEE Access, 2021 With the development of computer technology, computational-intensive and delay-sensitive applications are emerging endlessly, and they are limited by the computing power and battery life of Smart Mobile Devices (SMDs).
Hongxia Zhang +4 more
doaj +1 more source
On the Performance and Optimization for MEC Networks Using Uplink NOMA
, 2019 In this paper, we investigate a non-orthogonal multiple access (NOMA) based mobile edge computing (MEC) network, in which two users may partially offload their respective tasks to a single MEC server through uplink NOMA.
Hu, Rose Qingyang +3 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
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
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 +4 more
wiley +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