2018
DOI: 10.1007/s10586-017-1551-7
|View full text |Cite
|
Sign up to set email alerts
|

A prolonged network life time and reliable data transmission aware optimal sink relocation mechanism

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(13 citation statements)
references
References 18 publications
0
13
0
Order By: Relevance
“…However, CSO outperformed PSO and cuckoo search algorithm [96] Applied CSO on WSN to optimize cluster head selection e proposed system outperformed the existing systems by 75%. [97] Applied CSO on CR based smart grid communication network to optimize channel allocation e proposed system obtains desirable results for both fairness-based and priority-based cases [98] Applied CSO in WSN to detect optimal location of sink nodes CSO outperformed PSO in reducing total power consumption. [99,100] Applied CSO on time modulated concentric circular antenna array to minimize the sidelobe level of antenna arrays and enhance the directivity CSO outperformed RGA, PSO and DE algorithms [101] Applied CSO to optimize the radiation pattern controlling parameters for linear antenna arrays.…”
Section: Computer Visionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, CSO outperformed PSO and cuckoo search algorithm [96] Applied CSO on WSN to optimize cluster head selection e proposed system outperformed the existing systems by 75%. [97] Applied CSO on CR based smart grid communication network to optimize channel allocation e proposed system obtains desirable results for both fairness-based and priority-based cases [98] Applied CSO in WSN to detect optimal location of sink nodes CSO outperformed PSO in reducing total power consumption. [99,100] Applied CSO on time modulated concentric circular antenna array to minimize the sidelobe level of antenna arrays and enhance the directivity CSO outperformed RGA, PSO and DE algorithms [101] Applied CSO to optimize the radiation pattern controlling parameters for linear antenna arrays.…”
Section: Computer Visionmentioning
confidence: 99%
“…So, Tsiflikiotis and Goudos addressed this problem which is known as optimal power allocation problem, and for that, three metaheuristic algorithms were presented and compared [96]. Moreover, Pushpalatha and Kousalya applied CSO in WSN for optimizing cluster head selection which helps in energy saving and available bandwidth [97]. Alam et al also applied CSO algorithm in a clustering-based method to handle channel allocation (CA) issue between secondary users with respect to practical constraints in the smart grid environment [98].…”
Section: Wireless and Wsnmentioning
confidence: 99%
“…Goudos addressed this problem which is known as optimal power allocation problem, and for that three meta-heuristic algorithms were presented and compared [98]. Moreover, Pushpalatha, A. and G. Kousalya applied CSO in WSN for optimizing cluster head selection which helps in energy saving and available bandwidth [99]. Alam et al also applied the CSO algorithm in a clustering-based method to handle Channel Allocation (CA) issues between secondary users with respect to practical constraints in the Smart Grid environment [100,101,102] Applied CSO algorithm on UPFC to increase the stability of the system IEEE 6 bus and 14 bus networks were used in the simulation experiments and desirable results were achieved [50] Applied ADCSO on reactive power dispatch problem to minimize active power loss IEEE 57-bus system was used in the simulation experiments, in which ADCSO outperformed 16 other optimization algorithms [51] Applied CSO algorithm to regulate the position and control parameters of SVC and TCSC to improve Available Transfer Capability (ATC) IEEE 14-bus and IEEE 24-bus systems were used in the simulation experiments, in which the system provided better results after adopting CSO [52] Building a classification model based on BCSO and SVM to classify the transformers according to their reliability status.…”
Section: Wireless and Wsnmentioning
confidence: 99%
“…Goudos addressed this problem which is known as optimal power allocation problem, and for that three meta-heuristic algorithms were presented and compared [98]. Moreover, Pushpalatha, A. and G. Kousalya applied CSO in WSN for optimizing cluster head selection which helps in energy saving and available bandwidth [99]. Alam Applied CSO and SVM to classify students' facial expression…”
Section: Wireless and Wsnmentioning
confidence: 99%