A Bi-objective Genetic Algorithm for Wireless Sensor Network Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10252184" target="_blank" >RIV/61989100:27240/22:10252184 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-08812-4_15" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-08812-4_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-08812-4_15" target="_blank" >10.1007/978-3-031-08812-4_15</a>
Alternative languages
Result language
angličtina
Original language name
A Bi-objective Genetic Algorithm for Wireless Sensor Network Optimization
Original language description
When designing a wireless sensor network several performance metrics should be considered, e.g., network lifetime, target coverage, sensor energy consumption. As a rule, these metrics are in conflict with each other, which means that by optimizing some of them we worsen the others. Designing the network is therefore a problem of multi-objective optimization. In this work, we propose a bi-objective genetic algorithm that optimizes network lifetime and target coverage. We consider two variants of the algorithm, in which the fitness function comprises only the network lifetime, or where it includes both, the network lifetime and target coverage. This makes it possible to find a trade-off between these two objectives. In-depth experimental studies are carried out for both variants of the algorithm. (C) 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/LTAIN19176" target="_blank" >LTAIN19176: Metaheuristics Framework for Multi-objective Combinatorial Optimization Problems (META MO-COP)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Networks and Systems. Volume 497
ISBN
978-3-031-08811-7
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
13
Pages from-to
147-159
Publisher name
Springer
Place of publication
Cham
Event location
Kitakjúšú
Event date
Jun 29, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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