"Towards Networking Common-Place Objects with Energy Harvesting and Fog Computing"

Maria Gorlatova, Associate Research Scholar, Princeton University

March 16th (Thursday), 4:00pm
Harold Frank Hall (HFH), Rm 4164 (ECE Conf. Rm.)

Realizing the vision of the fully connected world — the Internet of Things (IoT) — still requires advances in multiple areas. This talk focuses on two needed developments: enabling energetically self-sufficient energy harvesting IoT devices, and making IoT devices more responsive and adaptive. Towards enabling energy harvesting IoT devices, in this talk I will describe Energy Harvesting Active Networked Tags (EnHANTs) that we designed and developed at Columbia University. We envisioned future EnHANTs as small, flexible, energetically self-reliant tags, attached to objects that are traditionally not networked (books, furniture, toys, clothing, produce). I will present the results of the indoor light energy and human and object motion energy studies that we conducted to characterize environmental energy availability and properties for EnHANTs and other energy harvesting IoT devices. I will describe energy-harvesting-adaptive communication and networking algorithms that we developed, and our efforts in designing and developing EnHANT prototypes and prototype testbed. Towards enabling advanced capabilities in IoT systems, in this talk I will describe our Princeton University work on bringing advanced computing logic closer to IoT devices via fog computing, also known as edge computing, an emerging paradigm that deploys computing logic in multiple locations between the IoT system endpoints and the centralized cloud computing services. I will describe our ongoing work on trading off latency, reliability, and response quality considerations in fog-enabled IoT systems, and will talk about our prototyping efforts and our contributions to an industry-wide OpenFog Consortium. 

The material presented in this talk appeared in IEEE INFOCOM, ACM SIGMETRICS, ACM MobiCom, IEEE Transactions on Mobile Computing, and IEEE Journal on Selected Areas in Communications, among others.

About Maria Gorlatova:

Dr. Maria Gorlatova is an Associate Research Scholar at Princeton University Department of Electrical Engineering. She earned her Ph.D. in Electrical Engineering from Columbia University and M.Sc. and B.Sc. (Summa Cum Laude) degrees in Electrical Engineering from University of Ottawa, Canada. She has extensive industry experience in a variety of R&D and business-oriented roles, and has previously been affiliated with Telcordia Technologies, IBM, and D. E. Shaw Research. Dr. Gorlatova is a recipient of Canadian Graduate Scholar (CGS) NSERC Fellowships, the Columbia University Presidential Fellowship, and the Google Anita Borg Fellowship. She is a co-recipient of the IEEE Communications Society Award for Advances in Communications, the ACM SenSys Best Student Demonstration Award, and the IEEE Communications Society Young Author Best Paper Award.

Hosted by: Professor Jim Buckwalter