FOAEAUC-SARP: A novel energy-efficient protocol integrating unequal clustering and intelligent routing for sustainable wireless sensor networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10258636" target="_blank" >RIV/61989100:27240/25:10258636 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S2590123024020498" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590123024020498</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rineng.2024.103806" target="_blank" >10.1016/j.rineng.2024.103806</a>

Jazyk výsledku

angličtina

Název v původním jazyce

FOAEAUC-SARP: A novel energy-efficient protocol integrating unequal clustering and intelligent routing for sustainable wireless sensor networks

Popis výsledku v původním jazyce

Unequal clustering (UC) integrated with intelligent routing approaches offers a significant advancement in optimizing energy consumption and extending the lifetime of Wireless Sensor Networks (WSNs). Unlike traditional clustering methods that uniformly allocate energy-intensive tasks among sensor nodes (SNs), UC leverages the heterogeneity in node capabilities, assigning high-energy nodes as cluster heads (CHs) for data aggregation and transmission, while low-energy nodes perform lighter tasks. This hierarchical structure enhances energy efficiency and prolongs network longevity. While existing research has explored optimization techniques for clustering and routing, this study introduces the novel integration of the Fox Optimization Algorithm (FOA) and Snake Algorithm (SA) in the FOAEAUC-SARP framework to address energy balancing and routing challenges in heterogeneous WSNs. FOAEAUC-SARP employs a two-stage process: FOA-based unequal clustering for CH selection and SA-based routing for optimal data transmission. Through extensive simulations analysis, the proposed FOAEAUC-SARP demonstrates superior energy efficiency and performance compared to state-of-the-art models, addressing key limitations of prior approaches and offering a robust solution for advancing WSN performance. The analysis was conducted for three different case scenarios which are replicating with the real-world applications and comparing the performance of the proposed approach various existing approaches. The measured results show that there is a significant difference with the other methods in all the performance measures.

Název v anglickém jazyce

FOAEAUC-SARP: A novel energy-efficient protocol integrating unequal clustering and intelligent routing for sustainable wireless sensor networks

Popis výsledku anglicky

Unequal clustering (UC) integrated with intelligent routing approaches offers a significant advancement in optimizing energy consumption and extending the lifetime of Wireless Sensor Networks (WSNs). Unlike traditional clustering methods that uniformly allocate energy-intensive tasks among sensor nodes (SNs), UC leverages the heterogeneity in node capabilities, assigning high-energy nodes as cluster heads (CHs) for data aggregation and transmission, while low-energy nodes perform lighter tasks. This hierarchical structure enhances energy efficiency and prolongs network longevity. While existing research has explored optimization techniques for clustering and routing, this study introduces the novel integration of the Fox Optimization Algorithm (FOA) and Snake Algorithm (SA) in the FOAEAUC-SARP framework to address energy balancing and routing challenges in heterogeneous WSNs. FOAEAUC-SARP employs a two-stage process: FOA-based unequal clustering for CH selection and SA-based routing for optimal data transmission. Through extensive simulations analysis, the proposed FOAEAUC-SARP demonstrates superior energy efficiency and performance compared to state-of-the-art models, addressing key limitations of prior approaches and offering a robust solution for advancing WSN performance. The analysis was conducted for three different case scenarios which are replicating with the real-world applications and comparing the performance of the proposed approach various existing approaches. The measured results show that there is a significant difference with the other methods in all the performance measures.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Results in Engineering

ISSN

2590-1230

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

MAR 2025

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

nestránkováno

Kód UT WoS článku

001403280200001

EID výsledku v databázi Scopus

2-s2.0-85213035780