Collaborative research: vines: track 1: NSF-RCF: LLM-guided adaptive networking with edge intelligence for emergency response

Active Project Grant Awarded Last action

Award ID
2549266
Recipient
Awarding agency
Obligated
$50,000

Award facts

Assistance listing
47.079 Office of International Science and Engineering
Completion date 2% complete
Funding agency
Office of International Science and Engineering National Science Foundation
Place of performance
State College, PA 16802, USA

Award details come from USAspending.gov.

Description

As the agency reported it.

Abstract
Firefighters and other first responders rely on reliable communication to save lives in emergencies, yet the radios and cellular networks they use today are vulnerable to disruption when disasters strike. This project aims to build an intelligent communication network for dynamic, high-stakes environments in emergencies. Using artificial intelligence (AI) to understand and predict changes in fire scenes and first responders? Operations, the network adaptively and proactively reconfigures itself to prevent disrupted communication. This project builds and evaluates a holistic large language model (LLM)-network CO-design solution for the fire emergency response vertical to enable ultra-reliable and low-latency communication among humans, robots, and sensors. Three interdependent thrusts structure the work. Thrust 1 provides the semantic data foundation for LLM-enabled proactive networking by developing semantic-aware multimodal sensing and adaptive data transmission mechanisms. Thrust 2 supports proactive network configuration by designing an LLM-enabled network adaptation framework that models responder intent and environmental conditions. Thrust 3 provides the infrastructure needed for LLM-driven proactive networking through adaptive resource allocation and memory management, enabling collaborative LLM inference across edge devices. Validation spans simulations and real-world testbeds, including building an integrated network and fire-emergency simulator, as well as testing on the aerial experimentation and research platform for advanced wireless (aerpaw) and the 6G test network finland (6GTNF) testbeds. This project advances both the science of AI-native networking and its societal impact on supporting connected responders in public safety operations. These innovations can also generalize beyond emergency response to other latency-sensitive verticals, including telesurgery, disaster recovery, industrial automation, and intelligent transportation systems. This international collaborative project brings together researchers from north carolina state university, pennsylvania state university with researchers from aalto university and university of helsinki in finland to make emergency communication faster, smarter, and more dependable for the people who protect communities. This project will generate societal and educational benefits through data dissemination, student mentoring, curriculum development, U.S.-finland collaboration, and partnership with local fire departments. 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.- subawards are not planned for this award.

Quick answers

Who received award 2549266?

2549266 was awarded to The Pennsylvania State University by Division of Information and Intelligent Systems (National Science Foundation) on October 1, 2026.

How much is award 2549266 worth?

$50,000 has been obligated on 2549266.

Which agency awarded 2549266?

Division of Information and Intelligent Systems (National Science Foundation) awarded 2549266, with funding from Office of International Science and Engineering (National Science Foundation).

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