CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and S — NSF Award to Texas Tech University (T
The number of Internet-of-Things (IoT) devices has been increasing exponentially. By connecting billions of IoT devices, they will be able to support diverse applications, such as healthcare, energy management, education, social interaction, and public safety. The advancement of these applications, however, hinges on t
| Award title | CRII: CIF: Exploiting, Modeling, and Leveraging Hidden Features in IoT for Efficient and S |
|---|---|
| Award ID | 2552431 |
| Awardee | Texas Tech University |
| City | LUBBOCK |
| State | TX |
| Amount obligated | $139,527 |
| Principal investigator | Wei Wang |
| Program | Comm & Information Foundations |
| Start date | 07/01/2025 |
| Abstract | The number of Internet-of-Things (IoT) devices has been increasing exponentially. By connecting billions of IoT devices, they will be able to support diverse applications, such as healthcare, energy management, education, social interaction, and public safety. The advancement of these applications, however, hinges on the development of efficient and secure communication techniques to facilitate interactions with heterogeneous IoT devices. This project aims to introduce analysis, models, and tech |
| Source | NSF Awards |
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