Cargando…

Distributed Task Offloading in Heterogeneous Vehicular Crowd Sensing

The ability of road vehicles to efficiently execute different sensing tasks varies because of the heterogeneity in their sensing ability and trajectories. Therefore, the data collection sensing task, which requires tempo-spatial sensing data, becomes a serious problem in vehicular sensing systems, p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Yazhi, Wang, Wendong, Ma, Yuekun, Yang, Zhigang, Yu, Fuxing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2016
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970136/ https://www.ncbi.nlm.nih.gov/pubmed/27428967 http://dx.doi.org/10.3390/s16071090

Ejemplares similares

Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
por: Yan, Ruibin, et al.
Publicado: (2023)

Task Offloading Based on Lyapunov Optimization for MEC-Assisted Vehicular Platooning Networks
por: Cui, Taiping, et al.
Publicado: (2019)

A vehicle to vehicle relay-based task offloading scheme in Vehicular Communication Networks
por: Raza, Salman, et al.
Publicado: (2021)

CSV: Content Service Offloading System with Vehicular Caching
por: Kyung, Yeunwoong, et al.
Publicado: (2022)

Federated Deep Reinforcement Learning Based Task Offloading with Power Control in Vehicular Edge Computing
por: Moon, Sungwon, et al.
Publicado: (2022)

Computation Offloading in a Cognitive Vehicular Networks with Vehicular Cloud Computing and Remote Cloud Computing
por: Xu, Shilin, et al.
Publicado: (2020)

Vehicular Visible Light Networks for Urban Mobile Crowd Sensing
por: Masini, Barbara M., et al.
Publicado: (2018)

Crowding Effects in Vehicular Traffic
por: Combinido, Jay Samuel L., et al.
Publicado: (2012)

Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach
por: Shi, Wei, et al.
Publicado: (2023)

Deep reinforcement learning based offloading decision algorithm for vehicular edge computing
por: Hu, Xi, et al.
Publicado: (2022)

Dynamic Task Offloading for Cloud-Assisted Vehicular Edge Computing Networks: A Non-Cooperative Game Theoretic Approach †
por: Hossain, Md. Delowar, et al.
Publicado: (2022)

ESCOVE: Energy-SLA-Aware Edge–Cloud Computation Offloading in Vehicular Networks
por: Ismail, Leila, et al.
Publicado: (2021)

Privacy-Preserving Task Offloading Strategies in MEC
por: Yu, Haijian, et al.
Publicado: (2022)

A survey of security, privacy and trust issues in vehicular computation offloading and their solutions using blockchain.
por: Fayi, Sharifah Yaqoub, et al.
Publicado: (2023)

Computing Offloading Based on TD3 Algorithm in Cache-Assisted Vehicular NOMA–MEC Networks
por: Zhou, Tianqing, et al.
Publicado: (2023)

Heterogeneous vehicular networks
por: Zheng, Kan, et al.
Publicado: (2016)

Assessing the overhead of offloading compression tasks
por: Promberger, Laura, et al.
Publicado: (2020)

Task and Participant Scheduling of Trading Platforms in Vehicular Participatory Sensing Networks
por: Shi, Heyuan, et al.
Publicado: (2016)

Offloading under cognitive load: Humans are willing to offload parts of an attentionally demanding task to an algorithm
por: Wahn, Basil, et al.
Publicado: (2023)

Offloading items from memory: individual differences in cognitive offloading in a short-term memory task
por: Morrison, Alexandra B., et al.
Publicado: (2020)

Feature Papers in Vehicular Sensing
por: Jiménez, Felipe
Publicado: (2023)

Heterogeneous Participant Recruitment for Comprehensive Vehicle Sensing
por: Liu, Yazhi, et al.
Publicado: (2015)

A Distributed Cooperative Localization Strategy in Vehicular-to-Vehicular Networks
por: Kim, Minji, et al.
Publicado: (2020)

Latency-Optimal Computational Offloading Strategy for Sensitive Tasks in Smart Homes
por: Wang, Yanyan, et al.
Publicado: (2021)

Research on Crowd-Sensing Task Assignment Based on Fuzzy Inference PSO Algorithm
por: Li, Jianjun, et al.
Publicado: (2020)

Efficient Matching-Based Parallel Task Offloading in IoT Networks
por: Malik, Usman Mahmood, et al.
Publicado: (2022)

Prioritization Based Task Offloading in UAV-Assisted Edge Networks †
por: Kalinagac, Onur, et al.
Publicado: (2023)

An On-Orbit Task-Offloading Strategy Based on Satellite Edge Computing
por: Hu, Yifei, et al.
Publicado: (2023)

Task Offloading Strategy Based on Mobile Edge Computing in UAV Network
por: Qi, Wei, et al.
Publicado: (2022)

Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing
por: Liu, Xiang, et al.
Publicado: (2022)

Self-Adaptive Learning of Task Offloading in Mobile Edge Computing Systems
por: Huang, Peng, et al.
Publicado: (2021)

Research on a Task Offloading Strategy for the Internet of Vehicles Based on Reinforcement Learning
por: Xiao, Shuo, et al.
Publicado: (2021)

Service Benefit Aware Multi-Task Assignment Strategy for Mobile Crowd Sensing
por: Li, Zhidu, et al.
Publicado: (2019)

Minimum-Cost Offloading for Collaborative Task Execution of MEC-Assisted Platooning
por: Fan, Xiayan, et al.
Publicado: (2019)

Joint Optimization for Task Offloading in Edge Computing: An Evolutionary Game Approach
por: Dong, Chongwu, et al.
Publicado: (2019)

Self-Adaptation Resource Allocation for Continuous Offloading Tasks in Pervasive Computing
por: Ehsan, Aiman, et al.
Publicado: (2022)

On the Security of Offloading Post-Processing for Quantum Key Distribution
por: Lorünser, Thomas, et al.
Publicado: (2023)

Probabilistic Coverage Constraint Task Assignment with Privacy Protection in Vehicular Crowdsensing
por: Li, Zhe, et al.
Publicado: (2023)

Radio resource management for mobile traffic offloading in heterogeneous cellular networks
por: Wu, Yuan, et al.
Publicado: (2017)

Achieve Location Privacy-Preserving Range Query in Vehicular Sensing
por: Kong, Qinglei, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_ffkh8pnh6s0jjv7u6lnujdjn7j