A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor Networks (WSNs)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F23%3A%230001025" target="_blank" >RIV/04274644:_____/23:#0001025 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1371/journal.pone.0289173" target="_blank" >https://doi.org/10.1371/journal.pone.0289173</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0289173" target="_blank" >10.1371/journal.pone.0289173</a>
Alternative languages
Result language
angličtina
Original language name
A cluster-tree-based trusted routing algorithm using Grasshopper Optimization Algorithm (GOA) in Wireless Sensor Networks (WSNs)
Original language description
Existing routing protocols in wireless sensor networks consider energy efficiency or security separately. This paper solves this problem and proposes a cluster-tree-based trusted routing method using the (GOA) called CTTRG in WSNs. This routing scheme includes a distributed time-variant trust (TVT) model to analyze the behavior of sensor nodes.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PLoS ONE
ISSN
1932-6203
e-ISSN
1932-6203
Volume of the periodical
18(9)
Issue of the periodical within the volume
e0289173
Country of publishing house
US - UNITED STATES
Number of pages
19
Pages from-to
1-19
UT code for WoS article
001091871500032
EID of the result in the Scopus database
2-s2.0-85170339026