Article

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

Authors:

Ahmad Bilal Hasan,

Saroch Panichsakul,

William Pisano,

Kamran MohseniAuthors Info & Claims

SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems

Pages 117 - 129

https://doi.org/10.1145/1322263.1322275

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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Cited By

Alsamhi SSrivastava SRashid MAlhabeeb AKumar SRajput NHawbani AZhao LAl-qaness MCurry E(2025)Skyward Secure: Advancing Drone Data-Sharing in 6G with Decentralized Dataspace and supported TechnologiesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2025.105040(105040)Online publication date: Jan-2025
https://doi.org/10.1016/j.jpdc.2025.105040
Ho LJangsher S(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
https://doi.org/10.1109/WCNC57260.2024.10570825
Pärlin KRiihonen TLe Nir VAdrat M(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
https://doi.org/10.1109/TWC.2023.3290257
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Index Terms

SensorFlock: an airborne wireless sensor network of micro-air vehicles
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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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
University of New South Wales, Australia

Copyright © 2007 ACM.

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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SenSys07

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SenSys07: The 5th ACM Conference on Embedded Network Sensor Systems

November 6 - 9, 2007

Sydney, Australia

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SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;

Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

Alsamhi SSrivastava SRashid MAlhabeeb AKumar SRajput NHawbani AZhao LAl-qaness MCurry E(2025)Skyward Secure: Advancing Drone Data-Sharing in 6G with Decentralized Dataspace and supported TechnologiesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2025.105040(105040)Online publication date: Jan-2025
https://doi.org/10.1016/j.jpdc.2025.105040
Ho LJangsher S(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
https://doi.org/10.1109/WCNC57260.2024.10570825
Pärlin KRiihonen TLe Nir VAdrat M(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
https://doi.org/10.1109/TWC.2023.3290257
Mao KZhu QWang CYe XGomez-Ponce JCai XMiao YCui ZWu QFan W(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
https://doi.org/10.1109/TIM.2024.3436128
Jie Seah SLeow CNalinggam RKiat New WAlam RLing Jong SYin Lam HAlmasoud A(2024)Empirical Channel Models for UAV Communication: A Comparative StudyIEEE Access10.1109/ACCESS.2024.342454412(96740-96756)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3424544
Garg TGupta SObaidat MRaj M(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
https://doi.org/10.1007/s10586-024-04354-1
Fang ZHan BSchotten H(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
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Tian JYang MLi XZou SChao T(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
https://doi.org/10.1109/TIM.2023.3265631
Arun Raj A SXavier S BKathrine G JSilas SJ A(2023)A constructive airborne‐ground matrix algorithm for modern telecommunication systemsIET Networks10.1049/ntw2.12103Online publication date: 26-Sep-2023
https://doi.org/10.1049/ntw2.12103
Ede BKaplan BKahraman IKesir SYarkan SEkti ABaykas TGorcin ACirpan H(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
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