Results 211 to 220 of about 2,436 (255)
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Blockchain-Enabled Intelligent Vehicular Edge Computing
IEEE Network, 2021Smart vehicles are expected to be equipped with high-dimensional, resource-intensive applications, including platoon control, augmented reality supported gaming, AI-based pedestrian detection, fuel scheduling, and so on, catering to diverse user preferences and enhancing safety and efficiency.
Shafkat Islam +5 more
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Slicing-Based Offloading in Vehicular Edge Computing
2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR), 2021Vehicular edge computing (VEC) provides an environment for offloading tasks from vehicles. Indeed, the advantage through VEC is to push power computational and storage capacities at the edge nodes near the vehicles to handle the enormous resources required by some applications. On the other hand, in order to manage efficiently these resources, it would
Sara Berri, Khaled Hejja, Houda Labiod
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A Survey on Computation Offloading for Vehicular Edge Computing
Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City, 2019Vehicular Edge Computing (VEC) is a promising new paradigm that has received a lot of attention recently. Computation Offloading (CO) can migrate computing tasks to the network edge of VEC, which is critical for mobile applications that are sensitive to computation power.
Shuang Yuan, Yanfang Fan, Ying Cai 0003
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Collaborative Edge Computing and Caching in Vehicular Networks
2020 IEEE Wireless Communications and Networking Conference (WCNC), 2020Mobile Edge Computing (MEC) can significantly promote the development of Internet of Vehicles (IoV) for providing a low-latency and high-reliability environment. Nevertheless, a huge amount of sensor data or computing requirements generated by massive vehicles in adjacent area may be duplicated.
Zhuoxing Qin +3 more
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Intelligent Reflecting Surface Aided Vehicular Edge Computing
GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022Due to the rapid increase of connected devices and network traffic, the data transport from end-user devices to destination (connected device, cloud, edge servers, etc) can be interrupted because of obstacles and problems. In this paper, we propose to integrate edge servers with the intelligent reflecting surface (IRS) in a vehicular edge computing ...
Laroui, Mohammed +4 more
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Computation Offloading and Retrieval for Vehicular Edge Computing
ACM Computing Surveys, 2020The rapid evolution of mobile devices, their applications, and the amount of data generated by them causes a significant increase in bandwidth consumption and congestions in the network core. Edge Computing offers a solution to these performance drawbacks by extending the cloud paradigm to the edge of the network using capable nodes of processing ...
Azzedine Boukerche, Victor Soto
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Minimizing the Delay and Cost of Computation Offloading for Vehicular Edge Computing
IEEE Transactions on Services Computing, 2022The development of autonomous driving poses significant demands on computing resources, which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular Edge Computing (VEC) has been developed to offload real-time computation tasks from vehicles.
Quyuan Luo +3 more
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Detecting Selective Modification in Vehicular Edge Computing
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 2019Mobile Edge Computing can be used to realize the low latency requirements of vehicular networks. However, by compromising the road side units (RSUs), an adversary can introduce an extra delay leading to various problems such as the wastage of edge computing resources and disruption of navigational and safety functions.
Nalam Venkata Abhishek +3 more
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Energy-efficient computation offloading for vehicular edge computing networks
Computer Communications, 2021Abstract The demanding computing capacity of emerging vehicular applications has emerged as a challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly enhance computing capability and prolong battery life of vehicles through offloading computation-intensive tasks for edge computing.
Xiaohui Gu, Guoan Zhang
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Detecting RSU Misbehavior in Vehicular Edge Computing
2019 IEEE/CIC International Conference on Communications in China (ICCC), 2019Mobile Edge Computing can be used to realize the low latency requirements of vehicular networks. However, by compromising the road side units (RSUs), an adversary can introduce an extra delay leading to various problems such as the wastage of edge computing resources and disruption of navigational and safety functions.
Nalam Venkata Abhishek +3 more
openaire +1 more source