I was fortunate to present our work on the RFID Ecosystem at the EMC Innovation conference in Franklin, MA today.  The conference marks the second annual gathering of EMC Corporation’s Innovation Network, a worldwide collaboration of advanced technology researchers exploring a variety of areas such as service-oriented infrastructures, web 2.0 storage, information-centric security, virtualization and information grids.

Our friends at RSA Labs (the Security Division of EMC) invited a talk on the RFID Ecosystem as one of three talks in a session on academic research.  In my talk I presented an overview of the RFID Ecosystem project and then drilled-down to describe some key challenges for pervasive RFID data management (e.g., uncertainty, privacy) and how we address them with the Cascadia system (my talk is available here).  The talk went quite well and was followed by some great questions and discussion with a few of the more than 1,000 attendees.  After the talk I had a chance to meet with researchers from RSA as well as ERC, EMC’s new research center in Beijing, China.  I received a lot of great feedback from these very interesting groups – the conference was a fantastic experience overall!

The Journal of the American Medical Association published a report on Wednesday that showed certain RFID systems may induce hazardous incidents in nearby critical care medical equipment.  The study examined the effects of a 128 kHz active RFID system and a 868 MHz passive RFID system on 41 different types of medical devices.  Out of 123 tests, 34 led to electromagnetic interference incidents, 22 of which were classified as hazardous, 2 as significant, and 10 as light.

Though many consider the result of this study to be a serious and shocking failure in engineering, some RFID vendors claim that the problem could be avoided by lowering the power output of the RFID readers.  In any case, this study highlights a key obstacle for pervasive RFID systems: it will probably not be possible to deploy RFID readers in all locations of interest due to a variety of issues including electromagnetic interference, budgetary issues, or aesthetic concerns.  As such, a successful RFID system will have to infer when a tag enters a location which is not covered by an RFID reader.  This is one of the challenges which we designed Cascadia, the RFID Ecosystem’s event detection middleware, to address.  In particular, Cascadia allows an admin to define a graph that describes locations of interest (which may or may not be covered by an RFID reader – see image below).  Cascadia then tracks tags over this graph and can infer with some probability when a tag enters a location that is not covered by an RFID reader.  See our MobiSys 2008 paper for details!