[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Boucetta et al., 2021 - Google Patents

QoS in IoT networks based on link quality prediction

Boucetta et al., 2021

View PDF
Document ID
8297973808435464796
Author
Boucetta C
Nour B
Cusin A
Moungla H
Publication year
Publication venue
ICC 2021-IEEE International Conference on Communications

External Links

Snippet

The success of the Internet of Things (IoT) depends on the ability to provide reliable communication to the billions of devices that are used in many applications. In essence, estimating the quality of wireless links ensures the optimization of several protocols, reduces …
Continue reading at hal.science (PDF) (other versions)

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12—Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
    • H04W40/14—Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality based on stability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W84/00—Network topologies
    • H04W84/18—Self-organizing networks, e.g. ad-hoc networks or sensor networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W28/00—Network traffic or resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/26—Monitoring arrangements; Testing arrangements
    • H04L12/2602—Monitoring arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing packet switching networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00—Routing or path finding of packets in data switching networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATIONS NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures

Similar Documents

Publication Publication Date Title
Boucetta et al. QoS in IoT networks based on link quality prediction
Quy et al. Survey of Recent Routing Metrics and Protocols for Mobile Ad-Hoc Networks.
Liu et al. Foresee (4C): Wireless link prediction using link features
Liu et al. Data-driven link quality prediction using link features
Liu et al. Temporal adaptive link quality prediction with online learning
Xu et al. Exploring spatial correlation for link quality estimation in wireless sensor networks
Flushing et al. A mobility-assisted protocol for supervised learning of link quality estimates in wireless networks
Xue et al. RVFL-LQP: RVFL-based link quality prediction of wireless sensor networks in smart grid
Striccoli et al. A Markov model for characterizing IEEE 802.15. 4 MAC layer in noisy environments
Naravani et al. A cross-layer routing metric with link prediction in wireless mesh networks
Upadhye et al. A survey on machine learning algorithms for applications in cognitive radio networks
Ekpenyong et al. IPv6 routing protocol enhancements over low-power and lossy networks for IoT applications: A systematic review
Sindjoung et al. Estimating and predicting link quality in wireless IoT networks
Kirubasri et al. A study on hardware and software link quality metrics for wireless multimedia sensor networks
Aboubakar et al. Toward intelligent reconfiguration of RPL networks using supervised learning
Natarajan et al. Improving qos in wireless sensor network routing using machine learning techniques
Saffar et al. Deep learning based speed profiling for mobile users in 5G cellular networks
Bhaskar et al. Deep Neural Network Algorithm to Improve Link Reliability in Wireless Sensor Networks
Zhang et al. Models for non-intrusive estimation of wireless link bandwidth
Bindel et al. F-ETX: a predictive link state estimator for mobile networks
Karnik et al. Distributed optimal self-organization in ad hoc wireless sensor networks
Pielli et al. An interference-aware channel access strategy for WSNs exploiting temporal correlation
Xenakis et al. Energy-aware joint power, packet and topology optimization by simulated annealing for WSNs
Keshavarzian et al. From experience with indoor wireless networks: A link quality metric that captures channel memory
Ali et al. Overview of Using Signaling Data from Radio Interface with Machine Learning Approaches