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Section: New Results

RFID for pervasive computing environments

Participants : Nebil Ben Mabrouk, Frédéric Weis, Paul Couderc [contact] .

Here the principle is to implement distributed data structure over a set of RFID tags, enabling a complex object (made of various parts) or a set of objects belonging to a given logical group to "self-describe" itself and the relation between the various physical elements. Some applications examples includes waste management, assembling and repair assistance, prevention of hazards in situations where various products / materials are combined etc. The key property of self-describing objects is, like for coupled objects, that the vital data are self-hosted by the physical element themselves (typically in RFID chips), not an external infrastructure like most RFID systems. This property provides the same advantages as in coupled objects, namely high scalability, easy deployment (no interoperability dependence/interference), and limited risk for privacy. However, given the extreme storage limitation of RFID chips, designing such systems is difficult:

In the context of RFID system, the resiliency property of such data structures enables new information architecture and autonomous (offline) operation, which is very important for some RFID applications. We previously applied the self-describing objects approach to the waste management domain, which has shown to be a specially challenging situation for RFID. This challenge is found more generally in pervasive computing scenarios involving RFID reading in uncontrolled environments (see section 4.4).

We achieved the following results:

However, the supports for implementing dynamic reading protocols were lacking, both on the software and the radio side. The following further progress were made:

An example of motion-assisted RFID readings implemented is shown in figure 4: a matrix of 32 RFID tags are arranged in reduced power conditions, so that the tags are near their sensivity limit. In such conditions, 20% of the tags failed to be read by the reader. By coupling the reading with a rotation of 210 deg, we show that all the missing tags are progressively recovered.

Figure 4. (a) initial read, 20% of the tags are missing (b) After 210 deg of rotation, all the tags are recovered
IMG/exRFID.png