| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
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| Initial Amendment Date: | April 1, 2020 |
| Latest Amendment Date: | April 1, 2020 |
| Award Number: | 1948568 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Murat Torlak
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | May 1, 2020 |
| End Date: | April 30, 2023 (Estimated) |
| Total Intended Award Amount: | $174,911.00 |
| Total Awarded Amount to Date: | $174,911.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
2425 CAMPUS RD SINCLAIR RM 1 HONOLULU HI US 96822-2247 (808)956-7800 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
2540 Dole Street, Holmes Rm 437 Honolulu HI US 96822-2382 |
| Primary Place of
Performance Congressional District: |
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| Unique Entity Identifier (UEI): |
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| Parent UEI: |
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| NSF Program(s): | Networking Technology and Syst |
| Primary Program Source: |
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| Program Reference Code(s): |
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| Program Element Code(s): |
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| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
The growing data resolution in remote sensing spurs the adoption of millimeter-wave (mmWave) communication modules on energy-harvesting devices to increase the data delivery bandwidth. The energy conditions on these devices are not always satisfiable to initiate or maintain the mmWave links and require systems to be capable of anticipating communication failures and take preemptive actions to minimize energy expenditures. Fortunately, the environmental information provided by remote sensors contains sufficient knowledge to enable the design of such systems. The goal of this project is to develop algorithms and tools to exploit this information and augment the solar-harvesting remote invasive species monitoring system in the State of Hawaii with mmWave data delivery capability. The work in this project will enable researchers, industry, and students to realize high bandwidth real-time remote sensing with power-constrained devices in real-world applications. The results of this research will impact fields across scientific, industrial, and military interests, including agriculture, ecology, meteorology, infrastructure, and public utility monitoring, etc., where timely communication of high-resolution sensory data is essential.
The fundamental intuition of the proposed approach is that environmental factors, such as weather conditions, signal blockages, can be recognized via the inherent capability or interactions between the remote sensors. Knowledge of these factors can be utilized to optimize device awakening, beam scanning, and signal amplification, etc., at the physical layer. Three complimentary research thrusts are pursued: 1) extracting the correlation between solar harvesting conditions and mmWave signal attenuations; developing models and circuits to estimate the mmWave signal attenuations at specific solar conditions; 2) designing a distributed sensing architecture to detect mmWave beam blockage and accelerate beam alignment, by exploiting the low-power decimeter band communication implemented by the existing system; 3) formulating and solving a constrained route placement problem for an autonomous aerial data collector to optimize its mmWave signal reception as it maneuvers between sensor clusters and flight restricted regions. All products of this work will be made freely available to the research community, along with documentation and tutorials. The in-lab testbed to be established during the project will be made available online for remote testing. The hardware schematic of the sensor platform, deployment profiles, data traces, and important meta-data will be posted online to spur further use, test, and research to advance the field.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Over the 3-year period of this NSF grant, our research group made progress towards developing a mmWave-aided, real-time monitoring system for tracking invasive CRBs within tropical geographic location. A hardware testbed was developed, which enabled experimental verification of communication link performance. In collaboration with UHM researchers, we developed a reconfigurable reflecting surface that can aid in NLoS propagation solve the UAV routing problem. We further investigated the possibility to use reconfigurable intellegent surface to extend the mmWave signal range at 28GHz.
Towards hardware validation, we designed and implemented a mmWave testbed for experimental verification of wireless communication links at 28GHz. The testbed system allow flexible investigation of communication link performance under various blockage conditions. With a reflecting surface, previously unreachable links can be achieved. Results in physiological monitoring highlight the potential of such systems to operate in-situ for wireless monitoring and tracking of CRBs.
In validating weather-based wireless correlation, we created a dataset for 28GHz CSI data under various signal blockage conditions along with weather data (i.e., rainfall and PV panel output) from the same period. Simulations were run for various weather conditions (i.e., temperature, humidity, rainfall) to understand the effects on the communication system performance. Locations of two CRB traps on the UHM campus were used to verify signal strength under the weather conditions.
Last Modified: 09/26/2023
Modified by: Yao Zheng
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