2015
DOI: 10.1016/j.procs.2015.05.064
|View full text |Cite
|
Sign up to set email alerts
|

A Distributed and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 13 publications
(3 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…In this approaches communicating directly, or through the secret station, with the knowledge and control node. Botnets receive commands from the knowledge and control node and send results back to the knowledge and control node [15]. Botnets that are more cultured create a hierarchy of command and control servers to make it harder, to track down the central command and control server.…”
Section: Related Workmentioning
confidence: 99%
“…In this approaches communicating directly, or through the secret station, with the knowledge and control node. Botnets receive commands from the knowledge and control node and send results back to the knowledge and control node [15]. Botnets that are more cultured create a hierarchy of command and control servers to make it harder, to track down the central command and control server.…”
Section: Related Workmentioning
confidence: 99%
“…The classical use of mixed-integer programming based on the Lagrangian relaxation scheme, to pronounce crucial parameter, which oversee the hop-by-hop switching. Author in [27] presented a safe clustering algorithm for mobile sink scenario. The approach presented was to keep a watch on malicious node and remove it as soon as it is detected.…”
Section: Related Workmentioning
confidence: 99%
“…We have evaluated the performance of ORP-MS with existing algorithm DECA [22], EEHC [32] and ES-WCA [27] by coding using MATLAB 2017a.The experimental scenario parameters are listed in Table II. Performance comparison of ORP-MS and existing algorithms are as follows:…”
Section: H Algorithm For Clustering In Orp-msmentioning
confidence: 99%