On the public citation graph

Energy Efficient Computation Offloading Mechanism in Multi-Server Mobile Edge Computing—An Integer Linear Optimization Approach

0 signed · 99 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/ett.3943openalex-snapshot
An efficient SDN‐based LTE‐WiFi spectrum aggregation system for heterogeneous 5G networks
inferredcites →https://doi.org/10.1007/1-4020-8066-2_23openalex-snapshot
Modeling Medical Treatment Using Markov Decision Processes
inferredcites →https://doi.org/10.1007/978-3-642-02547-1openalex-snapshot
Continuous-Time Markov Decision Processes : Theory and Applications
inferredcites →https://doi.org/10.1007/978-3-642-02547-1_2openalex-snapshot
Continuous-Time Markov Decision Processes
inferredcites →https://doi.org/10.1016/j.comnet.2019.106890openalex-snapshot
Energy efficient computation offloading for nonorthogonal multiple access assisted mobile edge computing with energy harvesting devices
inferredcites →https://doi.org/10.1016/j.future.2019.11.030openalex-snapshot
A multi-device multi-tasks management and orchestration architecture for the design of enterprise IoT applications
inferredcites →https://doi.org/10.1016/j.jestch.2018.12.015openalex-snapshot
Chaotic salp swarm algorithm for SDN multi-controller networks
inferredcites →https://doi.org/10.1109/access.2017.2769878openalex-snapshot
Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks
inferredcites →https://doi.org/10.1109/ccgrid.2017.92openalex-snapshot
Leveraging Renewable Energy in Edge Clouds for Data Stream Analysis in IoT
inferredcites →https://doi.org/10.1109/comst.2017.2682318openalex-snapshot
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
inferredcites →https://doi.org/10.1109/glocomw.2014.7063647openalex-snapshot
Distributed mobile cloud computing: Joint optimization of radio and computational resources
inferredcites →https://doi.org/10.1109/ic2e.2018.00044openalex-snapshot
A Sample Average Approximation-Based Parallel Algorithm for Application Placement in Edge Computing Systems
inferredcites →https://doi.org/10.1109/isit.2016.7541539openalex-snapshot
Delay-optimal computation task scheduling for mobile-edge computing systems
inferredcites →https://doi.org/10.1109/jiot.2017.2780236openalex-snapshot
Multiobjective Optimization for Computation Offloading in Fog Computing
inferredcites →https://doi.org/10.1109/jiot.2018.2816682openalex-snapshot
Socially Aware Dynamic Computation Offloading Scheme for Fog Computing System With Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/jiot.2018.2868616openalex-snapshot
A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2018.2890114openalex-snapshot
Offloading Wireless Energy Harvesting for IoT Devices on Unlicensed Bands
inferredcites →https://doi.org/10.1109/jsac.2016.2545382openalex-snapshot
Energy Efficient Mobile Cloud Computing Powered by Wireless Energy Transfer
inferredcites →https://doi.org/10.1109/jsac.2016.2611964openalex-snapshot
Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/jsac.2018.2815360openalex-snapshot
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
inferredcites →https://doi.org/10.1109/mc.2010.98openalex-snapshot
Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?
inferredcites →https://doi.org/10.1109/qest.2012.19openalex-snapshot
Statistical Model Checking for Markov Decision Processes
inferredcites →https://doi.org/10.1109/rndm.2016.7608300openalex-snapshot
Delay constrained offloading for Mobile Edge Computing in cloud-enabled vehicular networks
inferredcites →https://doi.org/10.1109/smartworld.2018.00133openalex-snapshot
QoE Aware and Cell Capacity Enhanced Computation Offloading for Multi-Server Mobile Edge Computing Systems with Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/tcc.2018.2847347openalex-snapshot
An Efficient and Secured Framework for Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/tcomm.2017.2699660openalex-snapshot
Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling
inferredcites →https://doi.org/10.1109/tcomm.2018.2866572openalex-snapshot
Learning for Computation Offloading in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tii.2018.2843365openalex-snapshot
Energy-Delay Tradeoff for Dynamic Offloading in Mobile-Edge Computing System With Energy Harvesting Devices
inferredcites →https://doi.org/10.1109/tii.2020.2978946openalex-snapshot
Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System
inferredcites →https://doi.org/10.1109/tmc.2019.2928811openalex-snapshot
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
inferredcites →https://doi.org/10.1109/tvt.2014.2372852openalex-snapshot
Optimization of Radio and Computational Resources for Energy Efficiency in Latency-Constrained Application Offloading
inferredcites →https://doi.org/10.1109/tvt.2016.2532863openalex-snapshot
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
inferredcites →https://doi.org/10.1109/tvt.2017.2714704openalex-snapshot
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling
inferredcites →https://doi.org/10.1109/twc.2012.041912.110912openalex-snapshot
A Dynamic Offloading Algorithm for Mobile Computing
inferredcites →https://doi.org/10.1109/twc.2017.2717986openalex-snapshot
Stochastic Joint Radio and Computational Resource Management for Multi-User Mobile-Edge Computing Systems
inferredcites →https://doi.org/10.1109/twc.2018.2821664openalex-snapshot
Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading
inferredcites →https://doi.org/10.1109/wcnc.2017.7925615openalex-snapshot
Joint Task Offloading Scheduling and Transmit Power Allocation for Mobile-Edge Computing Systems
inferredcites →https://doi.org/10.1109/wcsp.2018.8555879openalex-snapshot
Computation Offloading Scheme to Improve QoE in Vehicular Networks with Mobile Edge Computing
inferredcites →https://doi.org/10.1145/322276.322287openalex-snapshot
On the complexity of integer programming
inferredcites →https://doi.org/10.14569/ijacsa.2018.090629openalex-snapshot
A Systematic Review of Cyber Security and Classification of Attacks in Networks
inferredcites →https://doi.org/10.3390/app10051663openalex-snapshot
Adaptive Real-Time Offloading Decision-Making for Mobile Edges: Deep Reinforcement Learning Framework and Simulation Results
inferredcites →https://doi.org/10.3390/s19051105openalex-snapshot
Energy-Efficient Collaborative Task Computation Offloading in Cloud-Assisted Edge Computing for IoT Sensors
inferredcites →https://doi.org/10.3390/s19061446openalex-snapshot
Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks
inferredcites →https://doi.org/10.3390/su10113955openalex-snapshot
An Adaptive Offloading Method for an IoT-Cloud Converged Virtual Machine System Using a Hybrid Deep Neural Network
inferredcites →https://doi.org/10.3390/su9040673openalex-snapshot
EH-GC: An Efficient and Secure Architecture of Energy Harvesting Green Cloud Infrastructure
inferredcites →https://doi.org/10.3390/sym10110594openalex-snapshot
Cost-Effective Resource Sharing in an Internet of Vehicles-Employed Mobile Edge Computing Environment
inferredcites →https://doi.org/10.35940/ijitee.i7562.0981119openalex-snapshot
An Efficient and Secured Framework for Mobile Cloud Computing
inferredcites →https://doi.org/10.4018/jwsr.2005010101openalex-snapshot
Dynamic Workflow Composition

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-66471-8_19openalex-snapshot
Development and Investigation of Model Network IMT2020 with the Use of MEC and Voice Assistant Technologies
inferred← citeshttps://doi.org/10.1007/978-3-030-77442-4_22openalex-snapshot
Grouping-Based Hybrid Channel Access Mechanism for Ultra-Dense IEEE 802.11 ax Networks
inferred← citeshttps://doi.org/10.1007/s11042-024-20408-3openalex-snapshot
Enhancing mobile computation offloading efficiency with the adaptive optimization algorithm
inferred← citeshttps://doi.org/10.1007/s11227-024-06140-7openalex-snapshot
DGCQN: a RL and GCN combined method for DAG scheduling in edge computing
inferred← citeshttps://doi.org/10.1007/s12083-025-02028-2openalex-snapshot
An in-depth analysis of computation offloading approaches in multi-access edge computing systems
inferred← citeshttps://doi.org/10.1016/j.adhoc.2024.103472openalex-snapshot
Mobility-aware and energy-efficient offloading for mobile edge computing in cellular networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110791openalex-snapshot
Task offloading strategies for mobile edge computing: A survey
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.111030openalex-snapshot
Task offloading and multi-cache placement in multi-access mobile edge computing
inferred← citeshttps://doi.org/10.1016/j.matpr.2021.10.471openalex-snapshot
Optimized artificial neural network assisted trade-off between transmission and delay in LTE networks
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.105228openalex-snapshot
An integrated MCDM framework for trust-aware and fair task offloading in heterogeneous multi-provider Edge-Fog-Cloud systems
inferred← citeshttps://doi.org/10.1016/j.vehcom.2025.100900openalex-snapshot
Task offloading and multi-cache placement based on DRL in UAV-assisted MEC networks
inferred← citeshttps://doi.org/10.1109/access.2020.3026938openalex-snapshot
Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms
inferred← citeshttps://doi.org/10.1109/access.2021.3084834openalex-snapshot
Network Slice Lifecycle Management for 5G Mobile Networks: An Intent-Based Networking Approach
inferred← citeshttps://doi.org/10.1109/access.2024.3349587openalex-snapshot
Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A Review
inferred← citeshttps://doi.org/10.1109/cdc49753.2023.10383752openalex-snapshot
Multi-Criteria Optimization of Application Offloading in the Edge-to-Cloud Continuum
inferred← citeshttps://doi.org/10.1109/indin64977.2025.11279161openalex-snapshot
CFTel: A Practical Architecture for Robust and Scalable Telerobotics with Cloud-Fog Automation
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics55523.2022.00068openalex-snapshot
Delay-Outage Probability of Capacity Achieving-Based Task Offloading for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/jiot.2023.3235360openalex-snapshot
Resource Utilization of Distributed Databases in Edge–Cloud Environment
inferred← citeshttps://doi.org/10.1109/jiot.2023.3281609openalex-snapshot
Location Privacy-Aware Offloading for MEC-Enabled IoT: Optimality and Heuristics
inferred← citeshttps://doi.org/10.1109/jiot.2023.3307769openalex-snapshot
Joint Scheduling and Offloading Schemes for Multiple Interdependent Computation Tasks in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/jiot.2026.3704359openalex-snapshot
Deep Reinforcement Learning-Based Task Scheduling With Queue Dynamics for Edge Computing Load Balance
inferred← citeshttps://doi.org/10.1109/jsen.2021.3058976openalex-snapshot
Fog Assisted 6TiSCH Tri-Layer Network Architecture for Adaptive Scheduling and Energy-Efficient Offloading Using Rank-Based Q-Learning in Smart Industries
inferred← citeshttps://doi.org/10.1109/tce.2023.3319816openalex-snapshot
A Cross-Edge Offloading Framework for Green MEC Systems
inferred← citeshttps://doi.org/10.1109/tgcn.2024.3379960openalex-snapshot
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication
inferred← citeshttps://doi.org/10.1109/tsusc.2022.3170508openalex-snapshot
Towards Energy-And Cost-Efficient Sustainable MEC-Assisted Healthcare Systems
inferred← citeshttps://doi.org/10.1109/twc.2022.3178541openalex-snapshot
Joint Task Offloading and Service Caching for Multi-Access Edge Computing in WiFi-Cellular Heterogeneous Networks
inferred← citeshttps://doi.org/10.1109/vtc2022-fall57202.2022.10013069openalex-snapshot
Delay-Outage Analysis of OFDMA-Based Task Offloading in Edge Computing Networks
inferred← citeshttps://doi.org/10.1145/3508072.3508184openalex-snapshot
Features the used of microwave quantum frequency standard on rubidium atoms – 87 in systems of time synchronization for space system communication
inferred← citeshttps://doi.org/10.1145/3508072.3508185openalex-snapshot
Modernization of the design of the cesium atom clock to improve synchronization of time scales of satellite communication channels
inferred← citeshttps://doi.org/10.1145/3508072.3508189openalex-snapshot
High-speed remote fiber-optic sensor for monitoring of radiation situation in real time and over long distance
inferred← citeshttps://doi.org/10.1155/2022/6469380openalex-snapshot
Mitigation Impact of Energy and Time Delay for Computation Offloading in an Industrial IoT Environment Using Levenshtein Distance Algorithm
inferred← citeshttps://doi.org/10.1155/2022/8190688openalex-snapshot
Machine Learning with Variable Sampling Rate for Traffic Prediction in 6G MEC IoT
inferred← citeshttps://doi.org/10.11591/ijai.v13.i1.pp143-152openalex-snapshot
Intelligent task processing using mobile edge computing: processing time optimization
inferred← citeshttps://doi.org/10.1186/s13677-022-00288-4openalex-snapshot
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
inferred← citeshttps://doi.org/10.18280/isi.290336openalex-snapshot
Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks
inferred← citeshttps://doi.org/10.18280/mmep.090313openalex-snapshot
Intrinsic Profit Maximization of the Offloading Tasks for Mobile Edge Computing with Fixed Memory Capacities and Low Latency Constraints Using Ant Colony Optimization
inferred← citeshttps://doi.org/10.23919/apnoms50412.2020.9237008openalex-snapshot
IBNSlicing: Intent-Based Network Slicing Framework for 5G Networks using Deep Learning
inferred← citeshttps://doi.org/10.23919/apnoms52696.2021.9562662openalex-snapshot
Network Data Analytics Function for IBN-based Network Slice Lifecycle Management
inferred← citeshttps://doi.org/10.26599/tst.2024.9010071openalex-snapshot
Deep-EERA: DRL-Based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks
inferred← citeshttps://doi.org/10.32604/cmc.2023.034892openalex-snapshot
DQN-Based Proactive Trajectory Planning of UAVs in Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.3390/electronics10010048openalex-snapshot
TSCH Multiple Slotframe Scheduling for Ensuring Timeliness in TS-SWIPT-Enabled IoT Networks
inferred← citeshttps://doi.org/10.3390/electronics11030383openalex-snapshot
Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches
inferred← citeshttps://doi.org/10.3390/electronics12173548openalex-snapshot
A Survey of Energy Optimization Approaches for Computational Task Offloading and Resource Allocation in MEC Networks
inferred← citeshttps://doi.org/10.3390/electronics12214473openalex-snapshot
Machine Learning with Adaptive Time Stepping for Dynamic Traffic Load Prediction in 6G Satellite Networks
inferred← citeshttps://doi.org/10.3390/electronics9101710openalex-snapshot
Slicing the Core Network and Radio Access Network Domains through Intent-Based Networking for 5G Networks
inferred← citeshttps://doi.org/10.3390/network1020012openalex-snapshot
Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks
inferred← citeshttps://doi.org/10.3390/s20164410openalex-snapshot
Toward Accurate Position Estimation Using Learning to Prediction Algorithm in Indoor Navigation
inferred← citeshttps://doi.org/10.4018/979-8-3693-2003-7.ch002openalex-snapshot
Optimization of Processing Sequence and Computation Mode in IoT for Mobile Edge Computing
inferred← citeshttps://doi.org/10.4018/jdm.318451openalex-snapshot
Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode
inferred← citeshttps://doi.org/10.48550/arxiv.2109.07260openalex-snapshot
Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing: Energy, Bandwidth, and Storage Consumption
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.