Results 81 to 90 of about 5,603 (273)
Distributed Task Offloading Game in Multiserver Mobile Edge Computing Networks
With the explosion of data traffic, mobile edge computing (MEC) has emerged to solve the problem of high time delay and energy consumption. In order to cope with a large number of computing tasks, the deployment of edge servers is increasingly intensive.
Shuang Chen+3 more
doaj +1 more source
Can edge AI mitigate environmental effects on camera trap performance?
A camera trap enabled with edge artificial intelligence (AI) mitigated the effects of increased air temperature on the probability of false positive detections, but at the cost of an increased probability of missed detections. Other environmental variables affected camera trap performance differently, suggesting the need to account for camera trap ...
Taylor L. Kaltenbach+3 more
wiley +1 more source
Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT
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
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam+9 more
wiley +1 more source
Computation Offloading and Resource Allocation for E2E Tasks in Satellite Edge Computing Networks
Satellite edge computing shows promise in delivering seamless, low-latency services in challenging contexts such as deserts, oceans, and during natural disasters.
Yunbo Qu+4 more
doaj +1 more source
Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning
To address the end-edge computation offloading challenge in the multi-terminal and multi-server environment, this paper proposes an intelligent computation offloading algorithm based on Lyapunov optimization and deep reinforcement learning.
Xue Feng+4 more
doaj +1 more source
With the diversity of the communication technology and the heterogeneity of the computation resources at network edge, both the edge cloud and peer devices (collaborators) can be scavenged to provide computation resources for the resource-limited ...
Siqi Mu, Zhangdui Zhong
doaj +1 more source
Joint computation offloading and resource allocation in vehicular edge computing networks
Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu+3 more
doaj
Energy-efficient offloading decision-making for mobile edge computing in vehicular networks
Driven by the explosion transmission and computation requirement in 5G vehicular networks, mobile edge computing (MEC) attracts more attention than centralized cloud computing.
Xiaoge Huang+4 more
doaj +1 more source
Distributed Compute Offloading in Local Communications
Next-generation wireless networks 6G are tasked with accommodating diverse applications beyond traditional communications. This paper delves into the use-case of computation offload, a pivotal use case within the broader framework of beyond communications applications (e.g., sensing, localization, etc.).
Eldessoki, Sameh+4 more
openaire +2 more sources