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SensorFlock: an airborne wireless sensor network of micro-air vehicles

Published: 06 November 2007 Publication History

Abstract

An airborne wireless sensor network (WSN) composed of bird-sized micro aerial vehicles (MAVs) enables low cost high granularity atmospheric sensing of toxic plume behavior and storm dynamics, and provides a unique three-dimensional vantage for monitoring wildlife and ecological systems. This paper describes a complete implementation of our SensorFlock airborne WSN, spanning the development of our MAV airplane, its avionics, semi-autonomous flight control software, launch system, flock control algorithm, and wireless communication networking between MAVs. We present experimental results from flight tests of flocks of MAVs, and a characterization of wireless RF behavior in air-to-air communication as well as air-to-ground communication.

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Information

Published In

cover image ACM Conferences
SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems
November 2007
455 pages
ISBN:9781595937636
DOI:10.1145/1322263
  • General Chair:
  • Sanjay Jha
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 06 November 2007

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Author Tags

  1. MAVs
  2. applications
  3. deployments
  4. wireless sensor networks

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SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;
Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

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  • (2024)UAV Trajectory Optimization based on Predicted User Locations2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10570825(1-6)Online publication date: 21-Apr-2024
  • (2024)Physical-Layer Reliability of Drones and Their Counter-Measures: Full Versus Half DuplexIEEE Transactions on Wireless Communications10.1109/TWC.2023.329025723:2(1535-1549)Online publication date: Feb-2024
  • (2024)A Survey on Channel Sounding Technologies and Measurements for UAV-Assisted CommunicationsIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2024.343612873(1-24)Online publication date: 2024
  • (2024)Empirical Channel Models for UAV Communication: A Comparative StudyIEEE Access10.1109/ACCESS.2024.342454412(96740-96756)Online publication date: 2024
  • (2024)Drones as a service (DaaS) for 5G networks and blockchain-assisted IoT-based smart city infrastructureCluster Computing10.1007/s10586-024-04354-127:7(8725-8788)Online publication date: 17-Apr-2024
  • (2023)A Reliable and Resilient Framework for Multi-UAV Mutual Localization2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall)10.1109/VTC2023-Fall60731.2023.10333798(1-7)Online publication date: 10-Oct-2023
  • (2023)Improvement of RSS-Based Measurement Based on Adaptive Kalman Filter Considering the Anisotropy on Antenna in Dynamic EnvironmentIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2023.326563172(1-13)Online publication date: 2023
  • (2023)A constructive airborne‐ground matrix algorithm for modern telecommunication systemsIET Networks10.1049/ntw2.12103Online publication date: 26-Sep-2023
  • (2022)Measurement-Based Large Scale Statistical Modeling of Air–to–Air Wireless UAV Channels via Novel Time–Frequency AnalysisIEEE Wireless Communications Letters10.1109/LWC.2021.312228111:1(136-140)Online publication date: Jan-2022
  • (2021)Wireless Sensor Networks for Smart Cities: Network Design, Implementation and Performance EvaluationElectronics10.3390/electronics1002021810:2(218)Online publication date: 19-Jan-2021
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