Minimizing Sensor Fusion Disruptions in UAV-Based Collaborative Remote Sensing for Wildlife Preservation

Collaborative remote sensing (CRS), which utilizes multiple sensor nodes, enhances the production of consistent and accurate information by integrating independent data from various sources. Such collaborative efforts require highly reliable and energy-efficient communication support. We propose an efficient method to minimize disruptions in sensor fusion by improving the probability of data loss when disruption factors are predicted or imminent. Our performance evaluation suggests that the proposed method can remarkably improve the probability of data loss without a significant increase in energy consumption, making it particularly applicable in contexts such as wildlife preservation with power-limited sensor networks.