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An Enhanced Distributed Congestion Control Method for Classical 6LowPAN Protocols Using Fuzzy Decision System

  • The classical Internet of things routing and wireless sensor networks can provide more precise monitoring of the covered area due to the higher number of utilized nodes. Because of the limitations in shared transfer media, many nodes in the network are prone to the collision in simultaneous transmissions. Medium access control protocols are usually more practical in networks with low traffic,The classical Internet of things routing and wireless sensor networks can provide more precise monitoring of the covered area due to the higher number of utilized nodes. Because of the limitations in shared transfer media, many nodes in the network are prone to the collision in simultaneous transmissions. Medium access control protocols are usually more practical in networks with low traffic, which are not subjected to external noise from adjacent frequencies. There are preventive, detection and control solutions to congestion management in the network which are all the focus of this study. In the congestion prevention phase, the proposed method chooses the next step of the path using the Fuzzy decision-making system to distribute network traffic via optimal paths. In the congestion detection phase, a dynamic approach to queue management was designed to detect congestion in the least amount of time and prevent the collision. In the congestion control phase, the back-pressure method was used based on the quality of the queue to decrease the probability of linking in the pathway from the pre-congested node. The main goals of this study are to balance energy consumption in network nodes, reducing the rate of lost packets and increasing quality of service in routing. Simulation results proved the proposed Congestion Control Fuzzy Decision Making (CCFDM) method was more capable in improving routing parameters as compared to recent algorithms.show moreshow less

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Document Type:Article
Author: Mohammad Hossein HomaeiORCiD, Faezeh SoleimaniORCiD, Shahaboddin ShamshirbandORCiD, Dr Amir MosaviORCiD, Narjes NabipourORCiD, Annamaria R. Varkonyi-KoczyORCiD
DOI (Cite-Link):https://doi.org/10.1109/ACCESS.2020.2968524Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20200213-40805Cite-Link
URL:https://ieeexplore.ieee.org/document/8967114
Parent Title (English):IEEE Access
Publisher:IEEE
Language:English
Date of Publication (online):2020/01/29
Date of first Publication:2020/01/23
Release Date:2020/02/13
Publishing Institution:Bauhaus-Universität Weimar
Institutes:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
Issue:volume 8
Pagenumber:18
First Page:20628
Last Page:20645
Tag:IOT; Internet of things; back-pressure; congestion control; fuzzy decision making; wireless sensor network
GND Keyword:Internet der dinge
Dewey Decimal Classification:000 Informatik, Informationswissenschaft, allgemeine Werke
BKL-Classification:54 Informatik
Licence (German):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)