A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241897" target="_blank" >RIV/61989100:27240/18:10241897 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.3966/160792642018081904014" target="_blank" >http://dx.doi.org/10.3966/160792642018081904014</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3966/160792642018081904014" target="_blank" >10.3966/160792642018081904014</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set
Popis výsledku v původním jazyce
The basic K-center problem is a fundamental facility location problem. Given n vertices with some distances, one wants to build k facilities in different vertices, so as to minimize the maximum distance from a vertex to its corresponding facility. This problem is known as the NP-hard problem, and grouping sensor nodes into a cluster is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption, and achieving better network performance. This study proposed a new method for solving the K-center problem based on the Genetic algorithm and dominating (GADO) set, and it is called the GADO method for wireless sensor network. An evaluation of the proposed GADO shows a decrease in the number of the centers compared to the well-known Farthest-first traversal method and dominating set only-based methods. Not only is the total distance from the centers to the sink node less than the other two algorithms, but the proposed GADO also diminishes the data delay and increases the lifetime of the centers.
Název v anglickém jazyce
A Clustering Scheme for Wireless Sensor Networks Based on Genetic Algorithm and Dominating Set
Popis výsledku anglicky
The basic K-center problem is a fundamental facility location problem. Given n vertices with some distances, one wants to build k facilities in different vertices, so as to minimize the maximum distance from a vertex to its corresponding facility. This problem is known as the NP-hard problem, and grouping sensor nodes into a cluster is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption, and achieving better network performance. This study proposed a new method for solving the K-center problem based on the Genetic algorithm and dominating (GADO) set, and it is called the GADO method for wireless sensor network. An evaluation of the proposed GADO shows a decrease in the number of the centers compared to the well-known Farthest-first traversal method and dominating set only-based methods. Not only is the total distance from the centers to the sink node less than the other two algorithms, but the proposed GADO also diminishes the data delay and increases the lifetime of the centers.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Internet Technology
ISSN
1607-9264
e-ISSN
—
Svazek periodika
19
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
TW - Čínská republika (Tchaj-wan)
Počet stran výsledku
8
Strana od-do
1111-1118
Kód UT WoS článku
000441139700014
EID výsledku v databázi Scopus
2-s2.0-85052023549