Mr. Alexander Tran Profile

Alexander Tran

at New Jersey Institute of Technology

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 21 April 2020 Presentation + Paper

Network analyses for bioinspired configurations of human and multiple entity teams

Elizabeth Mezzacappa, Alexander Tran, Reece Ronquillo, Austin Hall

Proceedings Volume 11413, 114130T (2020) https://doi.org/10.1117/12.2557313

KEYWORDS: Brain, Sensors, Biological research, Social networks, Social network analysis, Analytical research, Situational awareness sensors

Read Abstract +

Contributions of network analyses and neuroscience for the design of a system of heterogeneous deployable sensors for multi-domain operations are explored. The work addresses configuration of lines of the communication to more effectively transfer information from the deployed remote sensors systems back to human decision-makers. These are our initial attempts to craft a framework to guide the creation of robotic swarm networks deployed to gather sensor data for the intelligence preparation of the battlefield. The work proposes that if the sensing swarm’s main function is to gather sensor information to relay back to analysts and decision makers, the best analogy is that of a biological nervous system. The swarm acts as a perceptual system, with drones as the “eyes” of the system and the analysts as the “brain.” Network science also offers vocabulary and concepts to understand parameters that can be thought to reflect characteristics and performance of the swarms of sensors. Using the program ORA (Carnegie Mellon University), a series of models with 44, 60, 200, and 250 entity agents was randomly generated in common network configurations (e.g., small world, coreperiphery). In addition, deliberately designed networks were created to reflect system redundancies and data fusion. These possible swarm communication configurations were compared on operationally relevant characteristics and predicted performance (e.g., bandwidth required, resilience). Substantial differences were observed in characteristics and predicted performance among the candidate configurations. These types of parameters could then be used to guide development of requirements and testing and evaluation for entities making up sensing drone swarms.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years