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Combination of Task Allocation and Approximate Computing for Fog-Architecture-Based IoT

https://doi.org/10.1109/jiot.2020.3040892
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-662-11597-8_14openalex-snapshot
Linear and nonlinear programming
inferredcites →https://doi.org/10.1016/j.comnet.2018.12.008openalex-snapshot
Internet of Things applications: A systematic review
inferredcites →https://doi.org/10.1109/dcoss.2016.39openalex-snapshot
Modeling Optimal Dynamic Scheduling for Energy-Aware Workload Distribution in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/icphys.2018.8390794openalex-snapshot
Maximizing industrial IoT network lifetime under latency constraints through edge data distribution
inferredcites →https://doi.org/10.1109/infocom.2019.8737543openalex-snapshot
Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/infocom.2019.8737614openalex-snapshot
Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge
inferredcites →https://doi.org/10.1109/iscas.2018.8351839openalex-snapshot
Inexact Arithmetic Circuits for Energy Efficient IoT Sensors Data Processing
inferredcites →https://doi.org/10.1109/iscas45731.2020.9180895openalex-snapshot
TAAC: Task Allocation Meets Approximate Computing for Internet of Things
inferredcites →https://doi.org/10.1109/jetcas.2018.2833284openalex-snapshot
Coherent Design of Hybrid Approximate Adders: Unified Design Framework and Metrics
inferredcites →https://doi.org/10.1109/jiot.2018.2886757openalex-snapshot
Data-Aware Task Allocation for Achieving Low Latency in Collaborative Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2019.2900853openalex-snapshot
EPKF: Energy Efficient Communication Schemes Based on Kalman Filter for IoT
inferredcites →https://doi.org/10.1109/jiot.2019.2958400openalex-snapshot
Application Offloading Strategy for Hierarchical Fog Environment Through Swarm Optimization
inferredcites →https://doi.org/10.1109/jiot.2020.2966627openalex-snapshot
Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment
inferredcites →https://doi.org/10.1109/jiot.2020.2993260openalex-snapshot
Completion Time and Energy Optimization in the UAV-Enabled Mobile-Edge Computing System
inferredcites →https://doi.org/10.1109/jsen.2019.2916591openalex-snapshot
Optimal Task Allocation Algorithms for Energy Constrained Multihop Wireless Networks
inferredcites →https://doi.org/10.1109/mocast.2018.8376594openalex-snapshot
Joint task allocation approaches for hierarchical wireless sensor networks
inferredcites →https://doi.org/10.1109/sahcn.2006.288433openalex-snapshot
A Realistic Power Consumption Model for Wireless Sensor Network Devices
inferredcites →https://doi.org/10.1109/sahcn.2015.7338293openalex-snapshot
An altruistic compression-scheduling scheme for cluster-based wireless sensor networks
inferredcites →https://doi.org/10.1109/tcad.2020.2978839openalex-snapshot
A Novel Area-Power Efficient Design for Approximated Small-Point FFT Architecture
inferredcites →https://doi.org/10.1109/tcsi.2019.2892588openalex-snapshot
Design Methodology to Explore Hybrid Approximate Adders for Energy-Efficient Image and Video Processing Accelerators
inferredcites →https://doi.org/10.1109/tcsi.2020.2996567openalex-snapshot
Profile-Based Output Error Compensation for Approximate Arithmetic Circuits
inferredcites →https://doi.org/10.1109/tcsii.2020.2999131openalex-snapshot
Approximate Multipliers With Dynamic Truncation for Energy Reduction via Graceful Quality Degradation
inferredcites →https://doi.org/10.1109/tgcn.2019.2956626openalex-snapshot
Task Allocation in Fog-Aided Mobile IoT by Lyapunov Online Reinforcement Learning
inferredcites →https://doi.org/10.1109/tii.2020.2990674openalex-snapshot
DATA: Dependency-Aware Task Allocation Scheme in Distributed Edge Clouds
inferredcites →https://doi.org/10.1109/tpds.2019.2962435openalex-snapshot
On-Edge Multi-Task Transfer Learning: Model and Practice With Data-Driven Task Allocation
inferredcites →https://doi.org/10.1109/tvlsi.2018.2822278openalex-snapshot
Systematic Design of an Approximate Adder: The Optimized Lower Part Constant-OR Adder
inferredcites →https://doi.org/10.1109/tvlsi.2019.2940943openalex-snapshot
Improving the Accuracy and Hardware Efficiency of Neural Networks Using Approximate Multipliers
inferredcites →https://doi.org/10.1145/2228360.2228523openalex-snapshot
Incorrect systems
inferredcites →https://doi.org/10.1145/3236623openalex-snapshot
Optimal Allocation of Computation and Communication in an IoT Network
inferredcites →https://doi.org/10.1166/jolpe.2014.1315openalex-snapshot
Accurate Energy-Aware Workload Distribution for Wireless Sensor Networks Using a Detailed Communication Energy Cost Model
inferredcites →https://doi.org/10.1287/opre.8.1.101openalex-snapshot
Decomposition Principle for Linear Programs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4133455openalex-extracted
Hybrid Genetic Algorithm and Simulated Annealing for Task Allocation with Data Security
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108361openalex-snapshot
Failure-resilient DAG task scheduling in edge computing
inferred← citeshttps://doi.org/10.1109/dcoss-iot58021.2023.00027openalex-snapshot
(POSTER)DNN Task Allocation for Edge-Aided IoT
inferred← citeshttps://doi.org/10.1109/dcoss-iot58021.2023.00033openalex-snapshot
Hybrid Genetic Algorithm Combining Simulated Annealing for Task Allocation with Data Security
inferred← citeshttps://doi.org/10.1109/jiot.2021.3121415openalex-snapshot
Novel Tasks Assignment Methods for Wireless-Powered IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2022.3150337openalex-snapshot
Orchestrating Virtual Network Functions in Wireless-Powered IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2023.3316699openalex-snapshot
Exact and Approximate Tasks Computation in IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2024.3371468openalex-snapshot
Optimizing Virtual Functions Deployment in Multi-UAV IoT Networks
inferred← citeshttps://doi.org/10.1109/lnet.2023.3328893openalex-snapshot
Task Offloading and Approximate Computing in Solar Powered IoT Networks
inferred← citeshttps://doi.org/10.1109/mobilecloud58788.2023.00009openalex-snapshot
TransScale: Combined-Approach Elasticity for Stream Processing in Fog Environments
inferred← citeshttps://doi.org/10.1109/tce.2026.3680801openalex-snapshot
Generative AI-Enabled Transmission and Computing Integration for Cloud–Edge Collaborative IoT
inferred← citeshttps://doi.org/10.1109/tmc.2024.3442809openalex-snapshot
VNF Scheduling and Sampling Rate Maximization in Energy Harvesting IoT Networks
inferred← citeshttps://doi.org/10.23919/date54114.2022.9774538openalex-snapshot
Towards Approximate Computing for Achieving Energy vs. Accuracy Trade-offs
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