EGEO-RPL Algorithm for Mobility Management in IoT-WSN

Node mobility may have a substantial impact on the architecture, capabilities, and usesof Internet of Things (IoT) based Wireless Sensor Network (WSN) systems. Thechange in network topology can affect communication patterns, routing and networkcoverage. To adapt to these changes and maintain connectivity, efficient routingprotocols and algorithms are needed. In this paper, an optimized Routing Protocol forLow Power and Lossy Networks (RPL) algorithm for mobility management in IoTWSN is proposed. In this algorithm, the optimum parent node is selected from a set ofnodes, based on a combined metric.

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Publication Details

Journal
Cuestiones de Fisioterapia
Published
2025-02-03
DOI
https://doi.org/10.48047/j20qpj98
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

EGEO-RPL Algorithm for Mobility Management in IoT-WSN

Mukul Sutaone, Dr.Sachin Paranjape, Dr.Barani S
Cuestiones de Fisioterapia
Energy Efficient Wireless Sensor Networks
article

EGEO-RPL Algorithm for Mobility Management in IoT-WSN

Mukul Sutaone, Dr.Sachin Paranjape, Dr.Barani S
article en

Abstract

Node mobility may have a substantial impact on the architecture, capabilities, and usesof Internet of Things (IoT) based Wireless Sensor Network (WSN) systems. Thechange in network topology can affect communication patterns, routing and networkcoverage. To adapt to these changes and maintain connectivity, efficient routingprotocols and algorithms are needed. In this paper, an optimized Routing Protocol forLow Power and Lossy Networks (RPL) algorithm for mobility management in IoTWSN is proposed. In this algorithm, the optimum parent node is selected from a set ofnodes, based on a combined metric.

Cuestiones de FisioterapiaVol. 54(3)
Openalex Percentile: Top 97%
Energy Efficient Wireless Sensor Networks
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EGEO-RPL Algorithm for Mobility Management in IoT-WSN — Mukul Sutaone, Dr.Sachin Paranjape, et al. · Cuestiones de Fisioterapia (2025) | TGRS Research Map | TGRS