A UAV-Enabled Time-Sensitive Data Collection Scheme for Grassland Monitoring Edge Networks
Dongbin Jiao, Zihao Wang, Wen Fan, Weibo Yang, Peng Yang, Zhanhuan, Shang, and Shi Yan

TL;DR
This paper introduces a novel UAV-enabled data collection scheme tailored for grassland monitoring edge networks, addressing unique challenges like data volume variability, timing, and routing constraints to improve ecological data gathering.
Contribution
It formulates a mixed-integer programming model for the time-sensitive data collection problem and proposes a cooperative heuristic algorithm leveraging temporal-spatial correlations.
Findings
The model accurately captures the data collection constraints and dynamics.
The heuristic algorithm effectively solves the complex TSDCMP.
Simulation results validate the approach's efficiency and practicality.
Abstract
Grassland monitoring is essential for the sustainable development of grassland resources. Traditional Internet of Things (IoT) devices generate critical ecological data, making data loss unacceptable, but the harsh environment complicates data collection. Unmanned Aerial Vehicle (UAV) and mobile edge computing (MEC) offer efficient data collection solutions, enhancing performance on resource-limited mobile devices. In this context, this paper is the first to investigate a UAV-enabled time-sensitive data collection problem (TSDCMP) within grassland monitoring edge networks (GMENs). Unlike many existing data collection scenarios, this problem has three key challenges. First, the total amount of data collected depends significantly on the data collection duration and arrival time of UAV at each access point (AP). Second, the volume of data at different APs varies among regions due to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRobotics and Sensor-Based Localization · Energy Efficient Wireless Sensor Networks · Remote Sensing and LiDAR Applications
