Results 31 to 40 of about 22,975 (251)
Digital Communications and Networks, 2022 Mobile Edge Computing (MEC) has been envisioned as an efficient solution to provide computation-intensive yet latency-sensitive services for wireless devices.
Yang Li +3 more
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Utility-Oriented Computation Scheduling for Energy-Efficient Mobile Edge Computing Networks
IEEE Open Journal of the Computer Society, 2022 As a new computing paradigm, mobile edge computing (MEC) enables users to execute computation-intensive tasks at the network edge nodes (ENs) through computation offloading.
Ran Bi +5 more
doaj +1 more source
A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing [PDF]
IEEE Internet of Things Journal, 2020 In mobile edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus to enhance the computing capability and reduce the energy consumption of SMDs. Nevertheless, offloading tasks to the edge incurs additional transmission time and thus higher
Fuhong Song +5 more
openaire +2 more sources
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
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 +4 more
doaj +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 +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 +4 more
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 +8 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 +3 more
core +1 more source
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 +7 more
wiley +1 more source