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Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF MASSACHUSETTS
Doing Business As Name:University of Massachusetts Amherst
PD/PI:
  • Hossein Pishro-Nik
  • (413) 577-0834
  • pishro@ecs.umass.edu
Award Date:09/16/2019
Estimated Total Award Amount: $ 496,878
Funds Obligated to Date: $ 496,878
  • FY 2019=$496,878
Start Date:10/01/2019
End Date:09/30/2022
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CPS: Small: Trajectory-Based Cyber-Physical Networks: Theoretical Foundation and a Practical Implementation
Federal Award ID Number:1932326
DUNS ID:153926712
Parent DUNS ID:079520631
Program:CPS-Cyber-Physical Systems
Program Officer:
  • Phillip Regalia
  • (703) 292-2981
  • pregalia@nsf.gov

Awardee Location

Street:Research Administration Building
City:Hadley
State:MA
ZIP:01035-9450
County:Hadley
Country:US
Awardee Cong. District:02

Primary Place of Performance

Organization Name:University of Massachusetts Amherst
Street:100 Venture Way, Suite 201
City:Amherst
State:MA
ZIP:01035-9450
County:Hadley
Country:US
Cong. District:02

Abstract at Time of Award

Many emerging cyber physical systems are composed of a large number of mobile intelligent agents. In these systems, each agent travels along a trajectory that is often not pre-determined. At any time interval, new agents might appear in the system, and some existing agents might disappear. Additionally, these agents are normally capable of communicating with each other or outside stations using wireless communications. We refer to these systems as Trajectory-Based Cyber-Physical Networks (TCN). Examples of such systems are abundant and range from future generations of Unmanned Aircraft Systems (UAS) to networks of human or robot agents that are deployed in an area to perform missions such as disaster recovery. The goal of this research is (1) to develop a unifying theory called "Trajectory Process Theory" for TCNs, and (2) to design, implement, and test two specific real-life TCNs based on the proposed theory. This research has two main thrusts: Thrust 1 builds the foundations of Trajectory Process Theory. Thrust 2 applies the theory to UAS technologies, specifically aerial base stations and unmanned aircraft delivery systems. This research brings together concepts from probability theory, stochastic geometry, wireless networks, and transportation engineering. The proposed research can directly impact the design of important emerging real life systems such as UASs. Educational and outreach activities including workshops for underrepresented groups as well as creating open educational content are undertaken. 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.

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