Improving Target Detection Accuracy with OEERP in Wireless Sensor Networks

The energy consumption of Wireless Sensor Networks (WSNs) is constrained by battery power. This paper presents a method aimed at reducing energy usage during network routing. An opportunistic energy-efficient routing protocol, often known as an OEERP, is a concept that comprises introduced to enhance the network’s performance, improve target location detection accuracy, Increase the network’s energy efficiency while simultaneously extending its existence. The approach that has been presented puts idle nodes into a sleep state, hence reducing the amount of energy that is consumed. When the network’s residual energy (RE) is taken into consideration, sleep states are dynamically regulated and flow rate (FR), optimizing energy conservation. Nodes in sleep mode are periodically activated through triggering mechanisms. Simulation results validate the effectiveness of the OEERP, showing enhanced target detection accuracy, energy efficiency, and overall network performance, and comparisons with existing protocols are provided through plotted results.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/csnt64827.2025.10967901
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving Target Detection Accuracy with OEERP in Wireless Sensor Networks

R. Hema, J Elumalai, P. Sakthi Shunmuga Sundaram, K. Kumuthapriya
Energy Efficient Wireless Sensor Networks
article

Improving Target Detection Accuracy with OEERP in Wireless Sensor Networks

R. Hema, J Elumalai, P. Sakthi Shunmuga Sundaram, K. Kumuthapriya
article en

Abstract

The energy consumption of Wireless Sensor Networks (WSNs) is constrained by battery power. This paper presents a method aimed at reducing energy usage during network routing. An opportunistic energy-efficient routing protocol, often known as an OEERP, is a concept that comprises introduced to enhance the network’s performance, improve target location detection accuracy, Increase the network’s energy efficiency while simultaneously extending its existence. The approach that has been presented puts idle nodes into a sleep state, hence reducing the amount of energy that is consumed. When the network’s residual energy (RE) is taken into consideration, sleep states are dynamically regulated and flow rate (FR), optimizing energy conservation. Nodes in sleep mode are periodically activated through triggering mechanisms. Simulation results validate the effectiveness of the OEERP, showing enhanced target detection accuracy, energy efficiency, and overall network performance, and comparisons with existing protocols are provided through plotted results.

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Energy Efficient Wireless Sensor Networks
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