Low Frequency Multi-Robot Networking
Autonomous teams of unmanned ground and air vehicles rely on networking and distributed processing to collaborate as they jointly localize, explore, map, and learn in sometimes difficult and adverse conditions. Co-designed intelligent wireless networks are needed for these autonomous mobile agents f...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10413565/ |
| _version_ | 1797305303667048448 |
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| author | Brian M. Sadler Fikadu T. Dagefu Jeffrey N. Twigg Gunjan Verma Predrag Spasojevic Richard J. Kozick Justin Kong |
| author_facet | Brian M. Sadler Fikadu T. Dagefu Jeffrey N. Twigg Gunjan Verma Predrag Spasojevic Richard J. Kozick Justin Kong |
| author_sort | Brian M. Sadler |
| collection | DOAJ |
| description | Autonomous teams of unmanned ground and air vehicles rely on networking and distributed processing to collaborate as they jointly localize, explore, map, and learn in sometimes difficult and adverse conditions. Co-designed intelligent wireless networks are needed for these autonomous mobile agents for applications including disaster response, logistics and transportation, supplementing cellular networks, and agricultural and environmental monitoring. In this paper we describe recent progress on wireless networking and distributed processing for autonomous systems using a low frequency portion of the electromagnetic spectrum, here defined as roughly 25 to 100 MHz with corresponding wavelengths of 3 to 12 meters. This research is motivated by the desire to support autonomous systems operating in dense and cluttered environments by harnessing low frequency propagation, where meters long wavelengths yield significantly reduced scattering and enhanced penetration of obstacles and structures. This differs considerably from higher frequency propagation, requiring different low frequency propagation models than those widely employed for other bands. Progress in use of low frequency for autonomous systems has resulted from combined advances in low frequency propagation modeling, networking, antennas and electromagnetics, geolocation, multi-antenna array distributed beamforming, and mobile collaborative processing. This article describes the breadth and the depth of interaction between areas, leading to new tools and methods, especially in physically complex indoor/outdoor, dense urban, and other challenging scenarios. We bring together key results, models, measurements, and experiments that describe the state of the art for new uses of low frequency spectrum for multi-agent autonomy. |
| first_indexed | 2024-03-08T00:25:00Z |
| format | Article |
| id | doaj.art-87e8680c592c4656b8a9101cb421c003 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T00:25:00Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-87e8680c592c4656b8a9101cb421c0032024-02-16T00:01:14ZengIEEEIEEE Access2169-35362024-01-0112219542198410.1109/ACCESS.2024.335828010413565Low Frequency Multi-Robot NetworkingBrian M. Sadler0https://orcid.org/0000-0002-9564-3812Fikadu T. Dagefu1https://orcid.org/0000-0002-7532-5278Jeffrey N. Twigg2Gunjan Verma3Predrag Spasojevic4https://orcid.org/0000-0002-4244-6698Richard J. Kozick5https://orcid.org/0000-0003-3241-1915Justin Kong6https://orcid.org/0000-0003-2856-7060DEVCOM Army Research Laboratory, Adelphi, MD, USADepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USADEVCOM Army Research Laboratory, Adelphi, MD, USADEVCOM Army Research Laboratory, Adelphi, MD, USADepartment of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USADepartment of Electrical and Computer Engineering, Bucknell University, Lewisburg, PA, USADEVCOM Army Research Laboratory, Adelphi, MD, USAAutonomous teams of unmanned ground and air vehicles rely on networking and distributed processing to collaborate as they jointly localize, explore, map, and learn in sometimes difficult and adverse conditions. Co-designed intelligent wireless networks are needed for these autonomous mobile agents for applications including disaster response, logistics and transportation, supplementing cellular networks, and agricultural and environmental monitoring. In this paper we describe recent progress on wireless networking and distributed processing for autonomous systems using a low frequency portion of the electromagnetic spectrum, here defined as roughly 25 to 100 MHz with corresponding wavelengths of 3 to 12 meters. This research is motivated by the desire to support autonomous systems operating in dense and cluttered environments by harnessing low frequency propagation, where meters long wavelengths yield significantly reduced scattering and enhanced penetration of obstacles and structures. This differs considerably from higher frequency propagation, requiring different low frequency propagation models than those widely employed for other bands. Progress in use of low frequency for autonomous systems has resulted from combined advances in low frequency propagation modeling, networking, antennas and electromagnetics, geolocation, multi-antenna array distributed beamforming, and mobile collaborative processing. This article describes the breadth and the depth of interaction between areas, leading to new tools and methods, especially in physically complex indoor/outdoor, dense urban, and other challenging scenarios. We bring together key results, models, measurements, and experiments that describe the state of the art for new uses of low frequency spectrum for multi-agent autonomy.https://ieeexplore.ieee.org/document/10413565/Low frequency spectrumlow frequency propagationautonomymulti-robot networkingcomplex environmentsgeolocation |
| spellingShingle | Brian M. Sadler Fikadu T. Dagefu Jeffrey N. Twigg Gunjan Verma Predrag Spasojevic Richard J. Kozick Justin Kong Low Frequency Multi-Robot Networking IEEE Access Low frequency spectrum low frequency propagation autonomy multi-robot networking complex environments geolocation |
| title | Low Frequency Multi-Robot Networking |
| title_full | Low Frequency Multi-Robot Networking |
| title_fullStr | Low Frequency Multi-Robot Networking |
| title_full_unstemmed | Low Frequency Multi-Robot Networking |
| title_short | Low Frequency Multi-Robot Networking |
| title_sort | low frequency multi robot networking |
| topic | Low frequency spectrum low frequency propagation autonomy multi-robot networking complex environments geolocation |
| url | https://ieeexplore.ieee.org/document/10413565/ |
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