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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/LM2018140" target="_blank" >LM2018140: e-Infrastruktura CZ</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Networks and Systems. Volume 312

ISBN

978-3-030-84909-2

ISSN

2367-3370

e-ISSN

2367-3389

Počet stran výsledku

9

Strana od-do

149-157

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Tchaj-čung

Datum konání akce

1. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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