<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Oussama Hadji</style></author><author><style face="normal" font="default" size="100%">Maimour, Moufida</style></author><author><style face="normal" font="default" size="100%">Abderezzak Benyahia</style></author><author><style face="normal" font="default" size="100%">Ouahab KADRI</style></author><author><style face="normal" font="default" size="100%">Eric Rondeau</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">EcoWatch: Region of interest-based multi-quantization resource-efficient framework for migratory bird surveillance using wireless sensor networks and environmental context awareness</style></title><secondary-title><style face="normal" font="default" size="100%">Computers and Electrical Engineering</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2025</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1016/j.compeleceng.2025.110076</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">123</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	Global sustainability initiatives increasingly rely on innovative technologies to safeguard biodiversity and mitigate environmental impacts. In this paper, we present EcoWatch, a novel framework that leverages Wireless Multimedia Sensor Networks (WMSNs) using LoRaWAN technology for efficient data transmission to enable real-time bird species detection and counting in their natural habitat. EcoWatch combines YOLOv8&amp;nbsp;&lt;em&gt;You Only Look Once&lt;/em&gt;&amp;nbsp;for object detection and&amp;nbsp;&lt;em&gt;Learning to Count Everything&lt;/em&gt;&amp;nbsp;(LTCE) for precise object counting at the base station. To address the inherent limitations of WSNs in terms of energy and bandwidth, EcoWatch incorporates a multi-level ROI-based video compression technique. Extensive evaluation demonstrates that EcoWatch significantly reduces energy consumption (up to 58.7%) and data transmission load (by 69.8%) compared to other methods while maintaining acceptable image quality, detection and counting accuracy. Notably, EcoWatch exhibits robust performance across seasons and adapts well to varying environmental conditions, making it a promising solution for real-world ecological monitoring applications.
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