View in EDS

An Energy-oriented Path Optimization of Mobile Sink using ESCVAD Routing Protocol based on Voronoi Clustering Algorithm

Saved in:
Bibliographic Details
Title: An Energy-oriented Path Optimization of Mobile Sink using ESCVAD Routing Protocol based on Voronoi Clustering Algorithm
Authors: Angelica Grace Simbran, Ralph Voltaire Dayot, Nikie Jo Deocampo
Source: Business, Education, Social Sciences, and Technology. 1:119-124
Publisher Information: Innocon Publishing, 2025.
Publication Year: 2025
Description: This paper addresses the critical challenges of energy efficiency and network performance in Wireless Sensor Networks (WSN), particularly in the context of Mobile Sink (MS) nodes. As WSN technology continues to advance, the need for effective routing protocols becomes increasingly important due to constraints such as limited battery power and network congestion. This study proposes an energy-oriented path optimization utilizing the Energy-saving Clustering by Voronoi Adaptive Dividing (ESCVAD) routing protocol, which is based on a Voronoi clustering algorithm. By implementing clustering techniques, sensor nodes are grouped into clusters with designated cluster heads, facilitating efficient data aggregation and transmission to the base station. The proposed solution performs a simulation that compares the performance of the ESCVAD protocol against traditional direct data transmission methods. Results indicate significant improvements in throughput, minimized jitter, and balanced energy consumption, thereby enhancing the overall network lifetime. Furthermore, this research contributes to the ongoing development of energy-efficient routing protocols in WSNs and lays the groundwork for future real-world applications and scalability testing.
Document Type: Article
DOI: 10.69478/best2025v1n2a017
Accession Number: edsair.doi...........831b9ecc74e018e5fbae02bdd79bc21c
Database: OpenAIRE
Description
Abstract:This paper addresses the critical challenges of energy efficiency and network performance in Wireless Sensor Networks (WSN), particularly in the context of Mobile Sink (MS) nodes. As WSN technology continues to advance, the need for effective routing protocols becomes increasingly important due to constraints such as limited battery power and network congestion. This study proposes an energy-oriented path optimization utilizing the Energy-saving Clustering by Voronoi Adaptive Dividing (ESCVAD) routing protocol, which is based on a Voronoi clustering algorithm. By implementing clustering techniques, sensor nodes are grouped into clusters with designated cluster heads, facilitating efficient data aggregation and transmission to the base station. The proposed solution performs a simulation that compares the performance of the ESCVAD protocol against traditional direct data transmission methods. Results indicate significant improvements in throughput, minimized jitter, and balanced energy consumption, thereby enhancing the overall network lifetime. Furthermore, this research contributes to the ongoing development of energy-efficient routing protocols in WSNs and lays the groundwork for future real-world applications and scalability testing.
DOI:10.69478/best2025v1n2a017