Results 31 to 40 of about 23,267 (265)

Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

Digital Communications and Networks, 2019
The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the
Liang Huang, Xu Feng, Cheng Zhang, Liping Qian, Yuan Wu   +4 more
doaj   +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

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

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, Hua Shao, Jingjing Li, Xiangming Wen, Zhaoming Lu   +4 more
doaj   +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, Yongjin Yang, Xingzhe Huang, Chao Fang, Peiying Zhang   +4 more
doaj   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +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, Lu, Guangyue, Shi, Liqin, Ye, Yinghui   +3 more
core   +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 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, Jie Tian, Chao Zhai, Tiantian Li   +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, Coleman, Kyle, Crutcher, Andrew, Esposito, Flavio, Koch, Caleb, Patman, Jon   +5 more
core   +1 more source