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Showing 1-25 of 7,136 resultsfor "Index Terms":Computation Offloading
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Clustering-Based Cooperative Computation Offloading Game for Dependent Tasks in Industrial Internet of Things Systems
ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Cited by: Papers (2)
With the expansion of connected devices used for industrial purposes, the Industrial Internet of Things (IIoT) has emerged as a specific branch of the Internet of Things (IoT) for Industry 4.0. Its applications in industrial domains include monitoring, smart manufacturing, and virtual and augmented reality. However, the huge amount of data generated by IIoT devices with limited computing resources...Show More
With the dawning of the Internet of Everything (IoE) era, more and more novel applications are being deployed. However, resource constrained devices cannot fulfill the resource-requirements of these applications. This paper investigates the computation offloading problem of the coexistence and synergy between fog computing and cloud computing in IoE by jointly optimizing the offloading decisions, ...Show More
Multi-User Multi-Server Multi-Channel Computation Offloading Strategy for Mobile Edge Computing
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Mobile edge computing is a new computing paradigm that can extend cloud computing capabilities to the edge network, supporting computation-intensive applications such as face recognition, natural language processing, augmented reality. Notably, computation offloading is a key technology of mobile edge computing to improve mobile devices performance and user experience by offloading local tasks to ...Show More
Low earth orbit (LEO) satellite network is an important development trend for future mobile communication systems, which can truly realize the "ubiquitous connection" of the whole world. In this paper, we present a cooperative computation offloading in the LEO satellite network with a three-tier computation architecture by leveraging the vertical cooperation among ground users, LEO satellites, and...Show More
Delay Model-Based Computation Offloading Scheme in Edge Collaboration Framework
2021 IEEE Globecom Workshops (GC Wkshps)
Year: 2021 | Conference Paper |
Recently, the widespread use of the Internet of Things (IoT) devices has brought people’s lives more convenient However, it has limited computing resources for processing tasks. For sufficient computing resources, a computation offloading scheme has been proposed using an edge server. Nevertheless, when many devices are connected to the edge server, the processing efficiency of the task is degrade...Show More
Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems
Mobile Edge Computing (MEC) is one of the most promising techniques for next-generation wireless communication systems. In this paper, we study the problem of dynamic caching, computation offloading, and resource allocation in cache-assisted multi-user MEC systems with stochastic task arrivals. There are multiple computationally intensive tasks in the system, and each Mobile User (MU) needs to exe...Show More
Computation Offloading Scheme to Improve QoE in Vehicular Networks with Mobile Edge Computing
2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)
Year: 2018 | Conference Paper |
Cited by: Papers (18)
Mobile edge computing (MEC) is a new paradigm to improve the quality of vehicular services by providing computation offloading close to vehicular terminals (VTs).However, due to the computation limitation of the MEC servers, how to optimally utilize the limited computation resources of MEC servers while maintaining a high quality of experience (QoE) of VTs becomes a challenge. To address the probl...Show More
An Efficient Computation Offloading Strategy Based on Cloud-Edge Collaboration in Vehicular Edge Computing
2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
Year: 2022 | Conference Paper |
Cited by: Papers (8)
Computation-intensive and latency-sensitive vehi-cle tasks continue to emerge with the repaid development of the Internet of Vehicles (IoV). Traditional cloud servers and single-point edge servers are unable to fulfill the demand for a large number of application services in a short period of time, resulting in the edge nodes having inadequate and im-balanced distribution of computing power in veh...Show More
Deep Reinforcement Learning based UAV-Assisted Maritime Network Computation Offloading Strategy
2022 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
As maritime activities become more frequent, many computationally intensive applications have emerged. Unmanned aerial vehicles (UAVs) can be utilized to provide computing services for maritime networks. In this paper, a multi-UAV assisted mobile edge computing (MEC) network is designed. Each UAV is configured with a nano-server to provide computational offloading services for maritime users (MVs)...Show More
A Joint Trajectory and Computation Offloading Scheme for UAV-MEC Networks via Multi-Agent Deep Reinforcement Learning
ICC 2023 - IEEE International Conference on Communications
Year: 2023 | Conference Paper |
Cited by: Papers (2)
Unmanned Aerial Vehicle (UAV)-assisted mobile edge computing (MEC) has emerged as a promising solution to support the computation-intensive tasks in the Internet of Things (IoT) networks. As for the operation of UAV-assisted MEC, jointly design of the UAV trajectory control and computation offloading strategies becomes the key for achieving high offloading efficiency, which is extremely challengin...Show More
Learning-Based Task Offloading and UAV Trajectory Optimization in SAGIN
2024 33rd Wireless and Optical Communications Conference (WOCC)
Year: 2024 | Conference Paper |
Integrated space-air-ground network (SAGIN) has become a key approach to achieve seamless global coverage and efficient information transmission. However, the requirements for task latency and the limited energy supply of unmanned aerial vehicle UAV) pose significant challenges when it acts as edge nodes to provide computation offloading services. To address the computation offloading problem in S...Show More
Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber–Wireless Networks
By offloading the computation tasks of the mobile devices (MDs) to the edge server, mobile-edge computing (MEC) provides a new paradigm to meet the increasing computation demands from mobile applications. However, existing mobile-edge computation offloading (MECO) research only took the resource allocation between the MDs and the MEC servers into consideration, and ignored the huge computation res...Show More
Large bandwidth, Low latency and intensive computing are the main challenge in high-performance virtual reality (VR) video transmission. As mobile edge computing (MEC) can provide computation and storage resources closer to terminals, it has been a promising mode in VR video transmission to substantially improve communication quality. This work focuses on the autonomous perception ability in MEC-s...Show More
A Secure Computing Offload Approach for Power Services Based on 5G Edge Computing
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC )
Year: 2022 | Conference Paper |
The integration of 5G and energy Internet has enriched the type of electric power business and improved the quality of electric power business bearing. The power business under the new situation puts forward higher requirements on the communication delay and data security of 5G network. A power multi-service computational offloading method with the assistance of data security transmission is propo...Show More
Delay-Tolerant Computation Offloading in Vehicular Networks Based on Local Blockchain
Xin Liu;Rui Wang;Rui Xing;Donglan Liu;Fangzhe Zhang;Lili Sun
2024 IEEE Cyber Science and Technology Congress (CyberSciTech)
Year: 2024 | Conference Paper |
Computation offloading is a promising solution to save the bandwidth and mitigate the load of the cloud server and edge servers by offloading computation tasks to vehicles with idle bandwidth. However, due to the unreliable of vehicles, the privacy of communication in the task offloading in vehicular networks is threatened. The blockchain technology has been widely used in vehicular networks to pr...Show More
Distributed Mechanism for Computation Offloading Task Routing in Mobile Edge Cloud Network
2019 International Conference on Computing, Networking and Communications (ICNC)
Year: 2019 | Conference Paper |
Cited by: Papers (12)
The paper proposes a distributed mechanism for computation offloading task routing and dispatching in Mobile Edge Cloud (MEC) networks, based on an evolutional Internet framework named Big IP (BPP). The necessary information for computation offloading requests and server status updates is proposed in the paper, which can be carried in the Instructions and Metadata blocks as the extensions to the c...Show More
Energy Efficient Offloading in Mobile Edge Computing under Limited Resources
2023 9th Annual International Conference on Network and Information Systems for Computers (ICNISC)
Year: 2023 | Conference Paper |
Energy consumption is one of the most important issues which wireless mobile devices are facing. This paper studies the minimum energy consumption problem under limited computing and channel resources by using dynamic voltage and frequency regulation (DVFS) techniques for mobile edge computing systems under time division multiple access(TDMA), and proposes a minimum energy consumption offloading s...Show More
Efficient task completion for parallel offloading in vehicular fog computing
Jindou Xie;Yunjian Jia;Zhengchuan Chen;Zhaojun Nan;Liang Liang
In this paper, we investigate vehicular fog computing system and develop an effective parallel offloading scheme. The service time, that addresses task offloading delay, task decomposition and handover cost, is adopted as the metric of offloading performance. We propose an available resource-aware based parallel offloading scheme, which decides target fog nodes by RSU for computation offloading jo...Show More
Joint Offloading and Resource Allocation for Scalable Vehicular Edge Computing
2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
Edge computing assisted autonomous driving technology has become a promising method to satisfy exacting computation requirements of achieving high or even full automation. However, the computation and spectrum resources of multi-access vehicular edge computing (VEC) system are also limited, which may not guarantee the best experience for all users, so we make a tradeoff between resource consumptio...Show More
Multi-user Computation Offloading Algorithm for Mobile Edge Computing
2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT)
Year: 2021 | Conference Paper |
Cited by: Papers (6)
Mobile Edge computing (MEC), a new computing model to deal with the growing data, can better meet the needs of users. However, the simple edge computation offloading strategy is no longer suitable for the current MEC architecture. To solve the computation offloading problem of computation-intensive and time-sensitive tasks in Mobile Edge Computing (MEC), a joint partial offloading and task priorit...Show More
RL-based Computation Offloading Scheme for Improving QoE in Edge Computing Environments
2023 IEEE 9th World Forum on Internet of Things (WF-IoT)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
With the rapid development of Internet of Things (IoT) devices and networks, various services are being provided to people. However, IoT devices are limited by computing resources and cannot satisfy services that require short processing time. To satisfy the requirements of these services, edge collaboration schemes have been researched to utilize the computing resources of other edge servers. Gen...Show More
Intelligent Delay-Aware Partial Computing Task Offloading for Multiuser Industrial Internet of Things Through Edge Computing
Xiaoheng Deng;Jian Yin;Peiyuan Guan;Neal N. Xiong;Lan Zhang;Shahid Mumtaz
IEEE Internet of Things Journal
Cited by: Papers (117)
The development of Industrial Internet of Things (IIoT) and Industry 4.0 has completely changed the traditional manufacturing industry. Intelligent IIoT technology usually involves a large number of intensive computing tasks. Resource-constrained IIoT devices often cannot meet the real-time requirements of these tasks. As a promising paradigm, the mobile-edge computing (MEC) system migrates the co...Show More
A Computation Offloading Strategy in Satellite Terrestrial Networks with Double Edge Computing
Yuanjun Wang;Jiaxin Zhang;Xing Zhang;Peng Wang;Liangjingrong Liu
2018 IEEE International Conference on Communication Systems (ICCS)
Year: 2018 | Conference Paper |
Cited by: Papers (86)
Mobile edge computing (MEC) can efficiently minimize computational latency, reduce response time, and improve quality-of-service (QoS) by offloading tasks in the access network. Although lots of edge computation offloading schemes have been proposed in terrestrial networks, the hybrid satellite terrestrial communication, as an emerging trend for the next generation communication, has not taken edg...Show More
An Efficient Online Computation Offloading Approach for Large-Scale Mobile Edge Computing via Deep Reinforcement Learning
Zheyuan Hu;Jianwei Niu;Tao Ren;Bin Dai;Qingfeng Li;Mingliang Xu;Sajal K. Das
Mobile edge computing (MEC) has been envisioned as a promising paradigm that could effectively enhance the computational capacity of wireless user devices (WUDs) and quality of experience of mobile applications. One of the most crucial issues of MEC is computation offloading, which decides how to offload WUDs’ tasks to edge severs for further intensive computation. Conventional mathematical progra...Show More
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. The recent development of radio frequency-based (RF) wireless power transfer (WPT) and mobile computation offloading to cloud provide a promising solution to...Show More
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