A Self-learning Clustering Protocol in Wireless Sensor Networks for IoT Applications

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10248417" target="_blank" >RIV/61989100:27240/22:10248417 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-84910-8_16" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-84910-8_16</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-84910-8_16" target="_blank" >10.1007/978-3-030-84910-8_16</a>

Result language
angličtina
Original language name
A Self-learning Clustering Protocol in Wireless Sensor Networks for IoT Applications
Original language description
The integration of Wireless sensor networks (WSN) and Internet of Things (IoT) perform many tasks control or monitor the surrounding area or the environment. The WSN-based IoT consists of many sensor nodes connect which transmit the collecting data of the environment to the manager through the Internet. The network topology requires high reliability connections while requires low energy consumption at the sink node and long network lifetime. In this paper, we introduce the self-learning clustering protocol to discover neighbors and the network topology. The cluster head is selected based on the information of the neighbors and the residual energy of the node. The maximum number of cluster members is set according to the network density. The proposed protocol can adapt the changing of the dynamic network with low energy consumption; therefore, ensuring the network connectivity. The simulation results show that the proposed clustering protocol performs well in terms of long network lifetime and high throughput while comparing to other clustering protocols. (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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Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Networks and Systems. Volume 312
ISBN
978-3-030-84909-2
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
9
Pages from-to
149-157
Publisher name
Springer
Place of publication
Cham
Event location
Tchaj-čung
Event date
Sep 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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