CRII: CNS: Bringing Energy-Efficiency in Edge-Supported Systems for Delay-Sensitive Real-T — NSF Award to Towson University (MD, $
Next-generation wireless networks are envisioned to be inundated with augmented reality (AR) applications (e.g., transportation, healthcare, industrial, and military surveillance applications), which leaves three crucial problems to solve: computation, mobility, and energy consumption. With recent advancements in edge
| Award title | CRII: CNS: Bringing Energy-Efficiency in Edge-Supported Systems for Delay-Sensitive Real-T |
|---|---|
| Award ID | 2451736 |
| Awardee | Towson University |
| City | TOWSON |
| State | MD |
| Amount obligated | $149,998 |
| Principal investigator | Anik Mallik |
| Program | CSR-Computer Systems Research |
| Start date | 07/15/2025 |
| Abstract | Next-generation wireless networks are envisioned to be inundated with augmented reality (AR) applications (e.g., transportation, healthcare, industrial, and military surveillance applications), which leaves three crucial problems to solve: computation, mobility, and energy consumption. With recent advancements in edge computing, small devices with low computational ability can experience and exploit the dominance of artificial intelligence using wireless connectivity. However, mobility brings ad |
| Source | NSF Awards |
$799/mo
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