2021
DOI: 10.1007/s12652-020-02741-1
|View full text |Cite
|
Sign up to set email alerts
|

Channel assignment in TSCH-based wireless sensor networks using fuzzy logic

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2
1
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…Methods based on the Received Signal Strength Indicator (RSSI) have been shown to be less accurate than those based on the Packed Delivery Ratio (PDR) [16]. Less conventional techniques like ETSCH rely on energy detection in idle periods [17], while other solutions make use of fuzzy logic [18]. It is also possible to use machine learning techniques to predict the evolution of a wireless channel, in terms of the frame delivery probability, given its recent past [19].…”
Section: Black and White Listingmentioning
confidence: 99%
“…Methods based on the Received Signal Strength Indicator (RSSI) have been shown to be less accurate than those based on the Packed Delivery Ratio (PDR) [16]. Less conventional techniques like ETSCH rely on energy detection in idle periods [17], while other solutions make use of fuzzy logic [18]. It is also possible to use machine learning techniques to predict the evolution of a wireless channel, in terms of the frame delivery probability, given its recent past [19].…”
Section: Black and White Listingmentioning
confidence: 99%
“…A second aspect to be taken into account is how measurements about the spectrum conditions, carried out by a plurality of motes, are used to change the hopping sequence. Although many clever solutions have been proposed for this optimization problem [20][21][22], several constraints must be faced:…”
Section: Channel Blacklistingmentioning
confidence: 99%