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Research on Distributed V2V Computation Offloading Method for Internet of Vehicles Blockchain [PDF]

Jisuanji kexue yu tansuo
Vehicle edge computing enhances the computational capabilities of vehicles by offloading computations. The existing task offloading strategies do not simultaneously consider data security, priority of offloading tasks, computation resource release, and ...
MENG Zhen, REN Guanyu, WAN Jianxiong, LI Leixiao
doaj   +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, Chao Quan, Kai Qian, Jiefeng Pan, Yueping Yang   +4 more
wiley   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

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, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Optimal Access Scheme for Security Provisioning of C-V2X Computation Offloading Network With Imperfect CSI

IEEE Access, 2020
In a cellular vehicle-to-everything (C-V2X) enabled computation-offloading network, vehicular users may deliver computation tasks to a cellular base station (BS) through vehicle-to-infrastructure (V2I) transmission links in order to accommodate ...
Bin Qiu, Hailin Xiao, Anthony Theodore Chronopoulos, Di Zhou, Shan Ouyang   +4 more
doaj   +1 more source

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, Yiwei Sun, Yuexin He, Ting Peng, Meng Han, Guozhen Tan   +5 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, 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

A survey of security, privacy and trust issues in vehicular computation offloading and their solutions using blockchain. [version 2; peer review: 2 approved]

Open Research Europe, 2023
Continuous improvement in transportation systems and smart vehicles' appearance make new highly intensive applications. Complex applications need high-performance capabilities, real-time responses, and generate massive amounts of data to process and ...
Sharifah Yaqoub Fayi, Zhengguo Sheng
doaj  

Decentralized computation offloading for multi-user mobile edge computing: a deep reinforcement learning approach

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, Lin Gui, Shichao Zhu, Xiupu Lang   +3 more
doaj   +1 more source