摘要
物联网技术在林业中已经得到了广泛应用,但由于林区通讯、供电基础设施差等原因,也存在传感节点数据传输困难、能量受限、计算能力不足等难点。随着无人机技术的发展和载荷的多样化,具有广覆盖、高计算力的无人机通过数据采集、无线中继或参与移动边缘计算等形式集成到物联网系统中,可以有效解决上述问题,提升整个物联网系统的可用性。文中综述物联网及无人机辅助的物联网系统中路径与任务规划、采集策略以及无人机移动边缘计算的通信与卸载策略等方面的研究进展,结合林业应用场景探讨不同研究的适应性,以期为无人机辅助的林业物联网系统研究提供参考。
The Internet of Things(IoT)technology has been widely applied in forestry.However,due to poor communication and power infrastructure in forest areas,IoT application is challenged by the difficulty in data transmission between sensor nodes,energy shortage,and insufficient computational capabilities.With the advancement of unmanned aerial vehicle(UAV)technology and the diversification of payloads,the UAV with wide coverage and powerful computational can be integrated into IoT systems through data collection,wireless relaying,or participation in mobile edge computing to effectively address the aforementioned challenges and improve the usability of the entire IoT system.This paper reviews the research progress in IoT as well as the path and task planning,data collection strategies,and communication and offloading strategies for mobile edge computation for UAV assisted IoT system,and explores the adaptability of different research approaches in forestry application scenarios,aiming to provide references for the research on UAV-assisted forestry IoT system.
作者
陈钊
赵飞翔
张怀清
Zhao Chen;Feixiang Zhao;Huaiqing Zhang(Beijing Forest University,Beijing 100083,China;Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China)
出处
《世界林业研究》
CSCD
北大核心
2024年第2期22-26,共5页
World Forestry Research
基金
中国林业科学研究院基本科研业务费专项资金“基于数字孪生栖息地的大熊猫智能监管技术研究”(CAFYBB2022SY028)。
