Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications最新文献

How to Learn on the Fly? On Improving the Uplink Throughput Performance of UAV-Assisted Sensor Networks 如何在飞行中学习?提高无人机辅助传感器网络上行吞吐量性能的研究

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597242

Naresh Babu Kakarla, V. Mahendran

{"title":"How to Learn on the Fly? On Improving the Uplink Throughput Performance of UAV-Assisted Sensor Networks","authors":"Naresh Babu Kakarla, V. Mahendran","doi":"10.1145/3597060.3597242","DOIUrl":"https://doi.org/10.1145/3597060.3597242","url":null,"abstract":"In UAV-assisted sensor networks, the random and unknown duty cycling of battery-powered ground Sensor Nodes (SNs) (such as wireless IoT devices) can significantly affect both energy consumption and communication performance of the data-collecting UAVs. The state of the art typically assumes a unified system with a coherent design of UAV and SNs, wherein the SNs' behavior is considered to be known, and accordingly the mobility of UAV is planned. In practical settings, however, SNs and UAVs can possibly be administered by independent stakeholders. In such an independent system, the UAV needs to learn (in online) its trajectory by understanding the random behavior of SNs in order to improve the uplink communication performance. In the independently administered UAV-assisted sensor networks, the task of maximizing the uplink throughput performance can be formulated as a sequential stochastic decision process. The key challenge of this formulation lies in choosing suitable online learning methods and selecting network parameters that help to learn and improve the throughput performance effectively. To this end, this work gives a principled approach to studying the effects of various learning methods and ways to incorporate network parameters to improve the throughput performance. The resultant online learning algorithm is demonstrated to exhibit superior performance in the extensive simulation-based evaluation study.","PeriodicalId":315437,"journal":{"name":"Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121567462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interference by Drones to 5G Ground Users: A Simulation Study 无人机对5G地面用户的干扰:模拟研究

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597238

Enrique Caballero, Aymen Fakhreddine, C. Bettstetter

引用次数: 0

DroneChase: A Mobile and Automated Cross-Modality System for Continuous Drone Tracking dronecase:一个移动和自动化的跨模态系统，用于连续无人机跟踪

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597237

Neel Vora, Yi Wu, Jian Liu, Phuc Nguyen

{"title":"DroneChase: A Mobile and Automated Cross-Modality System for Continuous Drone Tracking","authors":"Neel Vora, Yi Wu, Jian Liu, Phuc Nguyen","doi":"10.1145/3597060.3597237","DOIUrl":"https://doi.org/10.1145/3597060.3597237","url":null,"abstract":"This paper presents DroneChase, an automated sensing system that monitors acoustic and visual signals captured from a nearby flying drone to track its trajectory in both line-of-sight and non-line-of-sight conditions under mobility settings. Although drone monitoring has been an active research topic, most of the existing monitoring systems focus only on line-of-sight conditions and do not perform well under blockage conditions. Inspired by the human ability to localize objects in the environment using both visual and auditory signals, we develop a mobile system that integrates the information from multiple modalities into a reference scenario and performs real-time drone detection and trajectory monitoring. Our developed system, controlled by the Raspberry Pi platform, collects acoustic signals from 6 hexagonal channels placed 5 cm away from each other and video signals from an HD RGB camera. The monitoring system is placed in a moving vehicle and is able to track the drone even when it is flying/hovering behind the bush or trees. Furthermore, the portability of the system enables continuous chasing of the drone, allowing for uninterrupted monitoring and tracking even while on the move. In addition, the proposed system performs reliably in both day and night conditions.","PeriodicalId":315437,"journal":{"name":"Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132216813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Robust Lidar-based 3D Detection and Tracking of UAVs 基于激光雷达的无人机三维鲁棒检测与跟踪

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597236

Tasnim Azad Abir, E. Kuantama, Richard Han, Judith M. Dawes, R. Mildren, Phuc Nguyen

引用次数: 0

Analytical Description of Access Probability and RRA strategy for UAV-Aided Vehicular Applications 无人机辅助车辆应用的访问概率和RRA策略分析描述

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597241

F. Conserva, R. Verdone

引用次数: 0

DroNS-3: Framework for Realistic Drone and Networking Simulators 无人机-3:框架的现实无人机和网络模拟器

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597239

Peter Hall, J. Diller, Ava Moon, Qifeng Han

引用次数: 0

Object Recognition Offloading in Augmented Reality Assisted UAV-UGV Systems 增强现实辅助无人机- ugv系统中的目标识别卸载

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597240

Chenyang Wang, Benjamin P. Carlson, Qifeng Han

引用次数: 0

Exploring Batteryless UAVs by Mimicking Bird Flight 通过模拟鸟类飞行探索无电池无人机

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 2023-06-18 DOI: 10.1145/3597060.3597243

Rishabh Goel, Tien Pham, Phuc Nguyen, Josiah D. Hester

{"title":"Exploring Batteryless UAVs by Mimicking Bird Flight","authors":"Rishabh Goel, Tien Pham, Phuc Nguyen, Josiah D. Hester","doi":"10.1145/3597060.3597243","DOIUrl":"https://doi.org/10.1145/3597060.3597243","url":null,"abstract":"We demonstrate the first flight of battery-free, energy harvesting, and small-sized Unmanned Aerial Vehicle (UAV). UAVs' flight times are severely constrained due to being forced to navigate the tradeoff between battery energy storage and weight. Even for UAVs that recharge their batteries mid-flight, eventually, the batteries must be replaced. We explore a new paradigm of UAVs that can survive entirely off energy harvested from the sun. These UAVs store energy momentarily in small super-capacitors before using that energy to create lift. By removing the requirement for battery recharging and replacement, these UAVs can provide extended flight times and open up new applications. Unfortunately, the design space for these UAVs is complex and interdependent. Materials, wing structure, UAV type, motor and harvester efficiency, environmental effects, and many other things significantly affect the aircraft's performance. We engage in a principled design space exploration of various UAV designs to reach battery-free mechanical flight. We explore and test multiple prototypes before landing on an ornithopter-like UAV with a solar rack on top and a single BLDC motor. We then perform the first flight of a battery-free ornithopter. This is the first work to explore zero maintenance long-term flight for small craft and could enable numerous new applications that require large-scale, sustained aircraft flight, such as wildfire monitoring, smart agriculture, and urban air quality assessment.","PeriodicalId":315437,"journal":{"name":"Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120965601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications 第九届微型飞行器网络、系统和应用研讨会论文集

Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications Pub Date : 1900-01-01 DOI: 10.1145/3597060

引用次数: 0