Award Abstract # 1831547
SCC: Integrating Heterogeneous Wide-Area Networks and Advanced Data Science to Bridge the Digital Divide in Rural Emergency Preparedness and Response

NSF Org: CMMI
Div Of Civil, Mechanical, & Manufact Inn
Recipient: RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE
Initial Amendment Date: September 12, 2018
Latest Amendment Date: May 5, 2021
Award Number: 1831547
Award Instrument: Standard Grant
Program Manager: Siqian Shen
siqshen@nsf.gov
 (703)292-7048
CMMI
 Div Of Civil, Mechanical, & Manufact Inn
ENG
 Directorate For Engineering
Start Date: September 15, 2018
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $1,494,805.00
Total Awarded Amount to Date: $1,510,765.00
Funds Obligated to Date: FY 2018 = $1,494,805.00
FY 2021 = $15,960.00
History of Investigator:
  • Mariya Zheleva (Principal Investigator)
    mzheleva@albany.edu
  • Jose Ramon Gil-Garcia (Co-Principal Investigator)
  • Petko Bogdanov (Co-Principal Investigator)
  • Mila Gasco Hernandez (Co-Principal Investigator)
Recipient Sponsored Research Office: SUNY at Albany
1400 WASHINGTON AVE
ALBANY
NY  US  12222-0100
(518)437-4974
Sponsor Congressional District: 20
Primary Place of Performance: SUNY at Albany
1400 Washington Ave
Albany
NY  US  12222-0100
Primary Place of Performance
Congressional District:
20
Unique Entity Identifier (UEI): NHH3T1Z96H29
Parent UEI: NHH3T1Z96H29
NSF Program(s): S&CC: Smart & Connected Commun
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 041E, 042E, 042Z, 116E, 9102, 9178, 9231, 9251
Program Element Code(s): 033Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

This Smart and Connected Communities (SCC) project will conduct innovative research in network architectures and protocols to allow emergency responders in rural areas to use TV white space, WiFi and pocket-switching for communications in areas where mobile broadband are scarce to non-existent. With this new knowledge, this project can develop and implement a framework for information exchange for emergency responders in rural communities. This scientific research contribution thus supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that contribute to the safety and social and economic revitalization of rural communities. Generalizability of results is expected in relation to other rural contexts and policy domains (e.g., law enforcement and health). Research components and key results will be incorporated in existing and new undergraduate and graduate courses, demonstrating the positive impact of interdisciplinary research and promoting the core disciplines to diverse groups of students.

The goal of this project is to develop, implement, and systematically analyze a comprehensive framework and a multi-layer platform for timely information collection, integration, exchange and dissemination to support EPR in rural communities. This goal will be met through three primary activities. First, the project will develop a heterogeneous network architecture and corresponding protocols that leverage wide-area wireless backhaul over TV white spaces, WiFi and pocket-switching to provide (i) continuous communication to first responders and (ii) delay-tolerant information access to residents. In addition, the project will design a smartphone app which will support the collection of information from different sources and its exchange among first responders, government agencies and residents. Second, the mobility patterns and network availability collected will enable the development of a dynamic probabilistic community network model. Novel graph-theoretic algorithms will identify information-depleted sub-communities and inform optimal information dissemination strategies. Finally, the project will assess adoption and use of the technologies by various community members to maximize the benefits associated with timely, rich and high-quality information, disseminated through technological devices. Continuous community engagement activities for data provisioning, app design, impact co-evaluation and path to sustainability of the project are key factors for success. The framework will be co-designed and piloted in collaboration with the Town of Thurman, NY. Transferability to the broader rural context will be assessed by engaging two additional rural communities in coordination with Microsoft's Airband initiative.

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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(Showing: 1 - 10 of 11)
Chen, Tzuhao and Gil-Garcia, J. Ramon and Gasco-Hernandez, Mila "Cross-Boundary Information Sharing Flows in Emergency Management:: Proposing a Conceptual Framework" DG.O 2022 , 2022 https://doi.org/10.1145/3543434.3543481 Citation Details
Gorovits, Alexander and Zhang, Lin and Gujral, Ekta and Papalexakis, Evangelos and Bogdanov, Petko "Mining Bursty Groups from Interaction Data" CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management , 2021 https://doi.org/10.1145/3459637.3482370 Citation Details
McNeil, Maxwell J. and Zhang, Lin and Bogdanov, Petko "Temporal Graph Signal Decomposition" KDD , 2021 https://doi.org/10.1145/3447548.3467379 Citation Details
Doke, Karyn and Affinnih, Habib O. and Yuan, Qianli and Gasco-Hernandez, Mila and Gil-Garcia, J. Ramon and Bogdanov, Petko and Zheleva, Mariya "Improving Emergency Preparedness and Response in Rural Areas" ACM COMPASS'21 , 2021 https://doi.org/10.1145/3460112.3471944 Citation Details
Zhang, Lin and Gorovits, Alexander and Zhang, Wenyu and Bogdanov, Petko "Learning Periods from Incomplete Multivariate Time Series" 2020 IEEE International Conference on Data Mining (ICDM) , 2020 https://doi.org/10.1109/ICDM50108.2020.00183 Citation Details
Sung, Keen and Levine, Brian and Zheleva, Mariya "Protecting location privacy from untrusted wireless service providers" ACM WiSec'20 , 2020 10.1145/3395351.3399369 Citation Details
Xiong, Wei and Zhang, Lin and McNeil, Maxwell and Bogdanov, Petko and Zheleva, Mariya "Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition" IEEE Transactions on Mobile Computing , 2020 https://doi.org/10.1109/INFOCOM41043.2020.9155247 Citation Details
Zhang, Lin "AURORA: A Unified fRamework fOR Anomaly detection on multivariate time series." Data Mining and Knowledge Discovery (2021): 1-24 , 2021 Citation Details
Gorovits, Alexander and Doke, Karyn and Zhang, Lin and Zheleva, Mariya and Bogdanov, Petko "CORE: Connectivity Optimization via REinforcement Learning in WANETs" 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) , 2021 https://doi.org/10.1109/SECON52354.2021.9491597 Citation Details
Karyn Doke, Habib Affinih "Improving Emergency Preparedness and Response in Rural Areas" ACM SIGCAS Conference on Computing and Sustainable Societies (ACM COMPASS 2021) , 2021 https://doi.org/https://doi.org/10.1145/3460112.3471944 Citation Details
Zhang, Lin and Bogdanov, Petko "Period Estimation For Incomplete Time Series" 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA) , 2020 https://doi.org/10.1109/DSAA49011.2020.00016 Citation Details
(Showing: 1 - 10 of 11)

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