2015
DOI: 10.5296/npa.v7i3.7961
|View full text |Cite
|
Sign up to set email alerts
|

A Generic Algorithm to Determine Maximum Bottleneck Node Weight-based Data Gathering Trees for Wireless Sensor Networks

Abstract: We propose a generic algorithm to determine maximum bottleneck node weight-based data gathering (MaxBNW-DG) trees for wireless sensor networks (WSNs) and compare the performance of the MaxBNW-DG trees with those of maximum and minimum link weight-based data gathering trees (MaxLW-DG and MinLW-DG trees). Assuming each node in a WSN graph has a weight, the bottleneck weight for the path from a node u to the root node of the DG tree is the minimum of the node weights on the path (inclusive of the weights of the e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2016
2016
2017
2017

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…Because we have verified that the vibroacoustics effects registered in the housing of the beach do not cause an appreciable impact on the buildings, as future work we would like to perform a more exhaustive study on the house located in the narrow alley. Moreover, we would also like to focus our study on other architectural elements by implementing a wireless sensor network [6] to perform long series of measurements simultaneously in several buildings and combine the results using distributed database management techniques [24,25].…”
Section: Resultsmentioning
confidence: 99%
“…Because we have verified that the vibroacoustics effects registered in the housing of the beach do not cause an appreciable impact on the buildings, as future work we would like to perform a more exhaustive study on the house located in the narrow alley. Moreover, we would also like to focus our study on other architectural elements by implementing a wireless sensor network [6] to perform long series of measurements simultaneously in several buildings and combine the results using distributed database management techniques [24,25].…”
Section: Resultsmentioning
confidence: 99%
“…These tests were carried out in old buildings but in the future, we would like to perform them on old architectural elements such as historical facades and watchtowers. In addition, we would like to implement a sensor network [ 30 ] able to take measurements for long periods using distributed database management techniques [ 31 , 32 ]. Moreover, we have in mind to create alarms [ 33 ] in cases where the building suffers some type of micro-vibration which can deteriorate the building structure somehow, when it has had a stressful event as the one reproduced in this work.…”
Section: Discussionmentioning
confidence: 99%
“…As future work, we are going to include an intelligent mechanism for security and energy efficiency using artificial neural network and genetic algorithms . After introducing such intelligence in the protocol, it would be more adaptive, robust, and reliable as well.…”
Section: Discussionmentioning
confidence: 99%