WINLAB Team receives NSF Grant for Developing Community-based Mobile Edge Sensing and Computing Testbeds

ECE Professor Yingying Chen (PI) and WINLAB Chief Technologist Ivan Seskar (Co-PI) are the recipients of an award from the National Science Foundation under the CISE Community Research Infrastructure (CCRI) program for the project "Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds.” This is a three-year $1.5M collaborative effort led by Rutgers with Indiana University, Temple University, and NYIT, with Rutgers receiving $710,000.

The project will build a large-scale, mobile edge sensing and computing infrastructure to provide practical experimental environments, rich user tools and services, and data/model sharing. It has the capability of supporting heterogeneous edge sensing. It aims to enable novel research in low-effort sensing data collection and model training in practical environment setups. The infrastructure will provide remote accessible smart cars and robots carrying mobile edge devices equipped with different types of sensors (e.g., WiFi, acoustic, light, vibration, etc.). Researchers can remotely configure the moving trajectories of smart cars and robots and adjust the sensors to study internal experimental environment factors and derive environment-independent models. This configuration capability flexibly provides many combinations of experimental setups, which can significantly reduce researchers’ efforts in experimenting numerous environments or setups in order to understand edge device behaviors and derive computing models.

More details on the project can be found at the NSF page here.

Congratulations Yingying and Ivan!