2017 International Conference on I-Smac (IoT in Social, Mobile, Analytics and Cloud) (I-Smac) 2017
DOI: 10.1109/i-smac.2017.8058332
|View full text |Cite
|
Sign up to set email alerts
|

A novel approach for adaptive multicast routing in MANET

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 9 publications
0
3
0
Order By: Relevance
“…The chemical analysis is performed and used as a reference value to validate the FTIR predictions of the concentration of the main sugars. The results thus obtained has proved that the chemo metric analysis of linked with FTIR spectroscopy can be used to predict the contents of moisture, sugar [23], [24].…”
Section: Resultsmentioning
confidence: 72%
“…The chemical analysis is performed and used as a reference value to validate the FTIR predictions of the concentration of the main sugars. The results thus obtained has proved that the chemo metric analysis of linked with FTIR spectroscopy can be used to predict the contents of moisture, sugar [23], [24].…”
Section: Resultsmentioning
confidence: 72%
“…In the last few years, the multicast problem in MANET has been investigated by many researchers [17][18][19][20][21][22][23][24][25]. T. Lu et al [17] presented an energy-aware genetic mechanism to solve the NP-complete problem of multicast routing and takes into account the delay and energy cost as the quality of service requirements in the building operation of multicast tree.…”
Section: Related Workmentioning
confidence: 99%
“…It selects the multicast path by taking into account the number of hops to the multicast target and node lifetime. A. Chakrawarti et al [24] merged the genetic algorithm with K-nearest-neighbour to produce a new multicast approach for MANET. They exploit the genetic algorithm for the processing stages while the K-nearest-neighbour for the distance measurement.…”
Section: Related Workmentioning
confidence: 99%