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ORuML: Optimized Routing in wireless networks using Machine Learning

https://doi.org/10.1002/dac.4394
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What this work says

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

inferredcites →https://doi.org/10.1002/dac.1202openalex-snapshot
Integrating machine learning inad hocrouting: A wireless adaptive routing protocol
inferredcites →https://doi.org/10.1002/dac.2913openalex-snapshot
D3: distributed approach for the detection of dumb nodes in wireless sensor networks
inferredcites →https://doi.org/10.1002/j.1941-9635.2009.tb01914.xopenalex-snapshot
Correction
inferredcites →https://doi.org/10.1007/978-3-319-23883-8openalex-snapshot
A User’s Guide to Network Analysis in R
inferredcites →https://doi.org/10.1007/s11276-015-1180-0openalex-snapshot
Real-time routing algorithm for mobile ad hoc networks using reinforcement learning and heuristic algorithms
inferredcites →https://doi.org/10.1016/j.simpat.2016.03.001openalex-snapshot
Mobility prediction in mobile ad hoc networks using neural learning machines
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1109/comst.2018.2880039openalex-snapshot
An Overview on Application of Machine Learning Techniques in Optical Networks
inferredcites →https://doi.org/10.1109/iot-siu.2019.8777467openalex-snapshot
CRAIoT: Concept, Review and Application(s) of IoT
inferredcites →https://doi.org/10.1109/jsyst.2016.2630923openalex-snapshot
A Machine Learning-Based Protocol for Efficient Routing in Opportunistic Networks
inferredcites →https://doi.org/10.1109/mcom.2018.1700560openalex-snapshot
Machine Learning for Cognitive Network Management
inferredcites →https://doi.org/10.1109/mnet.2017.1700200openalex-snapshot
Machine Learning for Networking: Workflow, Advances and Opportunities
inferredcites →https://doi.org/10.1109/mwc.2016.1500356wcopenalex-snapshot
Machine Learning Paradigms for Next-Generation Wireless Networks
inferredcites →https://doi.org/10.1109/mwc.2018.1800155openalex-snapshot
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs
inferredcites →https://doi.org/10.1109/tc.2017.2709742openalex-snapshot
Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning
inferredcites →https://doi.org/10.1109/tvt.2019.2893615openalex-snapshot
Machine Learning Inspired Sound-Based Amateur Drone Detection for Public Safety Applications
inferredcites →https://doi.org/10.1109/twc.2018.2883443openalex-snapshot
Cross-Technology Communications for Heterogeneous IoT Devices Through Artificial Doppler Shifts
inferredcites →https://doi.org/10.1145/3117811.3117816openalex-snapshot
WEBee
inferredcites →https://doi.org/10.1504/ijcnds.2017.087386openalex-snapshot
Load balanced routing scheme for MANETs with power and delay optimisation
inferredcites →https://doi.org/10.4135/9781483348964openalex-snapshot
Logistic Regression: From Introductory to Advanced Concepts and Applications
inferredcites →https://doi.org/10.48550/arxiv.1007.0085openalex-snapshot
Survey of Nearest Neighbor Techniques
inferredcites →https://doi.org/10.48550/arxiv.1604.08079openalex-snapshot
UBL: an R package for Utility-based Learning
inferredcites →https://doi.org/10.6000/1927-5129.2017.13.76openalex-snapshot
Classification Techniques in Machine Learning: Applications and Issues

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-19-2065-3_47openalex-snapshot
A Review on Congestion Control Using Routing Technique and Machine Learning
inferred← citeshttps://doi.org/10.1007/s11277-022-09602-4openalex-snapshot
Deep Neural Network Routing with Dynamic Space Division for 3D UAV FANETs
inferred← citeshttps://doi.org/10.1016/j.icte.2022.10.007openalex-snapshot
A reinforcement learning approach for widest path routing in software-defined networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.06.093openalex-snapshot
Routing optimization meets Machine Intelligence: A perspective for the future network
inferred← citeshttps://doi.org/10.1016/j.pmcj.2024.101917openalex-snapshot
A comprehensive survey on Machine Learning techniques in opportunistic networks: Advances, challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.procs.2021.07.034openalex-snapshot
N-Beats for Backup Routing Optimization in Cloud Acknowledgement Scheme for a Node Network
inferred← citeshttps://doi.org/10.1109/access.2021.3129850openalex-snapshot
Comparison of Machine Learning Techniques Applied to Traffic Prediction of Real Wireless Network
inferred← citeshttps://doi.org/10.1109/access.2024.3392624openalex-snapshot
Machine Learning-Based Cellular Traffic Prediction Using Data Reduction Techniques
inferred← citeshttps://doi.org/10.1109/ccict53244.2021.00067openalex-snapshot
Futuristic Analysis of Machine Learning Based Routing Protocols in Wireless Ad Hoc Networks
inferred← citeshttps://doi.org/10.1109/i-smac49090.2020.9243517openalex-snapshot
START: Smart Stick based on TLC Algorithm in IoT Network for Visually Challenged Persons
inferred← citeshttps://doi.org/10.1109/iaecst64597.2024.11117996openalex-snapshot
Weight Optimization Algorithm for Multi-Link State Information in Intelligent Routing
inferred← citeshttps://doi.org/10.1109/ic3i59117.2023.10397708openalex-snapshot
Collaborative MAC Protocol Design for Enhanced Network Lifetime in Mobile Ad Hoc Networks
inferred← citeshttps://doi.org/10.1109/icatiece56365.2022.10047032openalex-snapshot
An Energy-Efficient Routing in Cellular Network to Improve Data Transmission Efficiency in Edge Users
inferred← citeshttps://doi.org/10.1109/icccn58024.2023.10230185openalex-snapshot
Machine Learning Based Intelligent Routing for VDTNs
inferred← citeshttps://doi.org/10.1109/icears53579.2022.9752296openalex-snapshot
Routing of Data Between the Nodes in Mobile Adhoc Networks using Machine Learning Modelling
inferred← citeshttps://doi.org/10.1109/tnsm.2020.3036911openalex-snapshot
Intelligent Routing Based on Reinforcement Learning for Software-Defined Networking
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3132491openalex-snapshot
DRSIR: A Deep Reinforcement Learning Approach for Routing in Software-Defined Networking
inferred← citeshttps://doi.org/10.1109/ubmk63289.2024.10773524openalex-snapshot
Deep Reinforcement Learning Routing in Mobile Networks
inferred← citeshttps://doi.org/10.1145/3637494.3638727openalex-snapshot
Intelligent SDN Routing: A Threshold-Based and LSTM-Enhanced Deep Q-Network Routing Algorithm
inferred← citeshttps://doi.org/10.47749/t/unicamp.2020.1157788openalex-snapshot
Routing based on reinforcement learning for software-defined networking
inferred← citeshttps://doi.org/10.5753/sbrc_estendido.2021.17170openalex-snapshot
Routing based on Reinforcement Learning for Software-Defined Networking
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