A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Keyword Index
2020
2020 2nd International Conference on Computer and Information Sciences (ICCIS)
Preserved Fulltext
WannaCry Water Price Prediction Wireless Wireless Sensor Network wireless sensor network Wireless sensor networks wormhole attack Data mining
Data reduction
Data security
Data Transmission
Data Visualization ...
Disease segmentation
Distributed Denial of Service
drones
DUC
E-learning
Eddy Current Brake
edge computing
Edge Computing
edge preserving
Educational data analytics
ELEC-LEACH
Electrocardiogram ...
doi:10.1109/iccis49240.2020.9257716
fatcat:4eljcohqozfozar3awajqvqzn4
Ieee Access Special Section Editorial: Human-Driven Edge Computing
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
A music multi-terminal resource optimization model based on edge computing is proposed, which can perform fast computing and storage tasks at the edge of the music wireless network. ...
The article ''Research on resource optimization of music multi-terminal based on edge computing,'' by Wang, proposes a resource optimization scheme based on edge computing. ...
doi:10.1109/access.2021.3092476
fatcat:wirzxkbrkfg7jmsk2vl67a7gnu
Video Caching, Analytics and Delivery at the Wireless Edge: A Survey and Future Directions
2020
IEEE Communications Surveys and Tutorials
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Index Terms-Wireless communications, 5G networks, Internet of Things, mobile edge computing, edge analytics, video analytics, caching, task offloading, video streaming, quality of experience. ...
This article presents an in-depth survey on video edge-C3 challenges and state-of-the-art solutions in next-generation wireless and mobile networks. ...
vision tasks with very high accuracy is not always the main objective in surveillance applications at the wireless edge. ...
doi:10.1109/comst.2020.3035427
fatcat:ialgflav5nao3fwptbmyvtfhpa
UAV-aided urban target tracking system based on edge computing
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In order to track a target, traditionally a large amount of surveillance video data need to be uploaded into the cloud for processing and analysis, which put stremendous bandwidth pressure on communication ...
The model can effectively reduce the communication cost and the long delay of the traditional surveillance camera system that relies on cloud computing, and it can improve the probability of finding a ...
[1] introduced a crowd surveillance use case based on UAV and studied the offloading of video data processing to mobile edge computing (MEC) node compared to the local processing of video data onboard ...
arXiv:1902.00837v1
fatcat:bih2vsdlsvb3tnv2xj3yl4bc6u
Guest Editorial Special Issue on UAV Communications in 5G and Beyond Networks—Part II
2021
IEEE Journal on Selected Areas in Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
For the trajectory design subproblem, an auction-based algorithm is developed to compete for the computing resources of UAVs. ...
On the one hand, it uses UAVs to obtain baseline data and evaluates the correctness of the data uploaded by mobile data collectors (MDCs). ...
doi:10.1109/jsac.2021.3090897
fatcat:22i7u6tzevb6vgdrwflhzsv34u
Resource Scheduling in Edge Computing: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the surging demand for data communications and computing calls for the emerging edge computing paradigm ...
Also, we summarize the main performance indicators based on the surveyed literature. ...
For the data transmission rate, we use r to denote it. The data transmission rate can be characterized by various wireless transmission models based on Shannon's formula. ...
arXiv:2108.08059v1
fatcat:oo4lepcn3rhdfafefw5lkq2lia
Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Specifically, we replace the optimization of transmit power with that of transmission time to decrease the computational complexity of OP since we reveal that energy consumption monotonically decreases ...
Simulation results show that the proposed algorithm can achieve a higher probability of successful task completion with lower energy consumption. ...
Algorithm 1 Optimal algorithm for tranmit power 1: Initialization 2: • Input task set I t ′ and the transmission data of each task D i , ∀i ∈ I t ′ . 3: • Set the allowed transmission time of the first ...
arXiv:2401.00445v1
fatcat:j3zqypqcyzeu5jdm6yrqzsvnc4
On Computational Offloading in Massive MIMO-Enabled Next-Generation Mobile Edge Computing
2022
Wireless Communications and Mobile Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Next-generation wireless communication networks are expected to support massive connectivity with high data rate, low power consumption, and computational latency. ...
On the other hand, MIMO can enhance network spectral efficiency by using large number of antenna elements. ...
, and select best Population 10 //Base on best population, calculate mean M and standard deviation SD. foreachp ∈ Populationdo 11 Ω⟵ solve (8) 12 end 13 end 14 Algorithm 1: Convex Optimization Algorithm ...
doi:10.1155/2022/3712859
fatcat:jzc56toohjgafgd6gee7mkcth4
Edge Intelligence for Energy-efficient Computation Offloading and Resource Allocation in 5G Beyond
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Numerical results based on a real-world dataset demonstrate that the proposed DRL-based algorithm significantly outperforms the benchmark policies in terms of system energy consumption. ...
Extensive simulations show that learning rate, discount factor, and number of devices have considerable influence on the performance of the proposed algorithm. ...
The wireless communication data rates between devices and base stations can vary depending on transmission power, interference, bandwidth. ...
arXiv:2011.08442v2
fatcat:ibx3ola2uvbvdmrbtjespkv4jm
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
However, its uncertainty, referred to as dynamic and randomness, from the mobile device, wireless channel, and edge network sides, results in high-dimensional, nonconvex, nonlinear, and NP-hard optimization ...
Based on the actor-critic DRL algorithm, optimal MEC server selection is achieved with low offloading delay and failure rate of the computation tasks. ...
arXiv:2201.11410v4
fatcat:24igkq4kbrb2pjzwf3mf3n7qtq
An Edge Computing Offload Method Based on NSGA-II for Power Internet of Things
2021
Internet of Things and Cloud Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
To solve this problem, this paper proposes a method of edge computing offload based on genetic algorithm. ...
Edge computing organically integrates computing, storage, and other resources on the edge of the network and responds to the task request of the network edge node timely and effectively according to the ...
Jianbin Li is the corresponding author of this work. ...
doi:10.11648/j.iotcc.20210901.11
fatcat:uesgaexvvjdr3nkee22kzffiwi
Unmanned aerial vehicle for internet of everything: Opportunities and challenges
2020
Computer Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2003.13311v1 fatcat:hgizofse2zfhdpudftdqyoqvjiOther Versions
Thus, UAVs may potentially overcome the challenges of IoE. This article presents a comprehensive survey on opportunities and challenges of UAV-enabled IoE. ...
We first present three critical expectations of IoE: 1) scalability requiring a scalable network architecture with ubiquitous coverage, 2) intelligence requiring a global computing plane enabling intelligent ...
in terms of power, data rate, duration of communication, data storage, computational complexity, computing time for communication tasks and computing tasks. ...
doi:10.1016/j.comcom.2020.03.017
fatcat:jfzpmaarlbgkrmmh4edx72b6om
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
2022
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive and delay-sensitive tasks in fifth generation (5G) networks and beyond. ...
However, its uncertainty, referred to as dynamic and randomness, from the mobile device, wireless channel, and edge network sides, results in high-dimensional, nonconvex, nonlinear, and NP-hard optimization ...
Based on the actor-critic DRL algorithm, optimal MEC server selection is achieved with low offloading delay and failure rate of the computation tasks. ...
doi:10.1109/access.2022.3183647
fatcat:pd5z6q4innd5jl25g4r7b4nq3i
Path Optimization Algorithm in Wireless Sensor Network with Obstacle
2018
Indonesian Journal of Electrical Engineering and Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
CHS collect the data from consonant clusters and forward the data to base station. ...
In this paper, we proposed path optimization algorithm in Wireless Sensor Network with an obstacle (POAWSNO) that periodically selects the cluster heads according to quality factor. ...
In Energy-Efficient Timer-based One-shot max function computation (TMC) algorithm, the nodes are grouped into clusters and computation occurs over two contention stages. ...
doi:10.11591/ijeecs.v9.i3.pp599-601
fatcat:5uvf7w2cgbgq7j4dwkfx6bdfpq
Guest Editorial Optimization of Electric Vehicle Networks and Heterogeneous Networking in Future Smart Cities
2021
IEEE transactions on intelligent transportation systems (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The article entitled "Trust-aware service offloading for video surveillance in edge computing enabled Internet of Vehicles," by Xu et al., proposes a trust-aware task offloading method (TOM) for video ...
surveillance in edge computing-enabled IoV for minimizing the response time of the services, achieving the load balance of the edge nodes and realizing privacy protection. ...
doi:10.1109/tits.2021.3056180
fatcat:do3jyqr535ha3l3u2meoonqb24
« Previous
Showing results 1 — 15 out of 6,431 results