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24 Sanjay Sarma<br />
of a temperature sequence. In other words, the string of temperatures could be<br />
compressed to a single representative number that captures the kinetics of the<br />
chemistry. 2 An alternative is to use traditional compression. The third problem is one<br />
of uploading the temperature log. RFID has limited bandwidth, and it might take a<br />
long time to upload lots of data. Much research waits to be done in these areas.<br />
Reader innovations<br />
There are several fronts along which research and development in RFID could<br />
contribute to the RFID industry and its applications.<br />
RFID readers today are generic and follow a ‘‘one size fits all’’ paradigm. This<br />
is disadvantageous because readers are overloaded with unnecessary functionality<br />
to serve unknown functions. The cost–benefit analysis of the use of RFID depends<br />
greatly on the cost of readers. There is an emerging need for a larger class of<br />
specialized readers, which we refer to as application-specific readers (ASRs).<br />
Several classes of ASRs are possible.<br />
1. Lightweight WAN-enabled portal readers. Surprisingly, the cost of wiring<br />
RFID readers and connecting them to Ethernet is a significant part of RFID<br />
deployments. There is a need for low-power RFID readers that are, for<br />
example, battery-powered, motion-triggered, and equipped with a 2.5G or 3G<br />
backhaul system. The installation of such a system would be extremely<br />
inexpensive. The research question in the design of a system of this type would<br />
be related to power consumption and performance versus cost.<br />
2. Location-aware mobile readers. Mobile RFID readers will find great use in<br />
RFID systems. Already, several companies are offering mobile reader systems.<br />
However, it is hard to interpret the read events from a mobile reader. A read<br />
event in a backroom has a different context than a read event in a truck. There<br />
exists a need to, on the one hand, make the reader location-aware using, for<br />
example, a local positioning system like a WiFi positioning System (WPS). On<br />
the other hand, there is also a need for a local inference system that interprets<br />
this data and provides the logical hooks to make the reads useful.<br />
3. Unmanned vehicle readers. At the more ambitious end of the spectrum, there<br />
might exist a need for readers that are on unmanned vehicles like robots. This<br />
might occur, for example, in the cataloging of a yard full of containers or in<br />
finding library books [22].<br />
Software<br />
There is great scope for research in software systems for RFID. Several areas<br />
present themselves, but I will discuss one in particular. As discussed in the section<br />
on system software, false positives and false negatives create a challenge in RFID<br />
2 Conversation with David Brock, Ph.D., Laboratory for Manufacturing Productivity, MIT (2006).