Secure Language-Based Adaptive Service Platform (slap) for Large-Scale Embedded Sensor Networks baa 01-06 Networked Embedded Software Technology Technical Topic Area

Experimentation and Integration Plans

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Experimentation and Integration Plans.

We plan to develop this NEST platform in close collaboration with the other NEST teams. The initial networked sensor node is based on a prototype developed with Prof. Kris Pister as part of his SmartDust work. We have already developed versions of it that are in used by Deborah Estrin's Groups at UCLA, and we have been working closely with Gaetano Borriello's group at University of Washington. We have a regular conference call and retreats. We intend to expand that aspect. We are developing tutorial material and documentation for TinyOS and scheduling preliminary workshops with the Sensit community. Intel and Crossbow have picked up parts of this technology.

Our approach is to get an initial version of the testbed and TinyOS programming environment out into the NEST community very early into the program. We intend to distribute testbeds 6 months into the program and hold an initial programming workshop to get all the teams on an active working basis, beyond the regular PI meetings.

We will then set up a repository to facilitate sharing software components and a shared support structure. Early algorithm development experience will provide critical feedback into the development of the FSM programming environment, debugging and visualization tools, and simulator.

We have a ten-month period of active feedback and interaction with the other contractors in shaping the main NEST platform, which will be delivered at 20 months. We will work closely with contractors at that point in developing testbeds tailored to their application and algorithm areas.

We intend that the phase 1 platform will be used heavily in composing algorithms developed by multiple contractors into larger applications. Thus, joint experiments will be natural. We have planned a second larger workshop around deploying the phase 1 platform and the macrocomputing environment.

Simulation tools will be actively shared throughout. We intend to borrow heavily from existing simulation code, such as NS, in the early development. We will set up a simulation service on our large clusters available to all NEST participants.

Internally we hold biannual retreats to bring together our students and industrial participants, and these would include other NEST contractors.

Section III. Additional Information

Figure 1: Prototype Network Microsensor Platform. Left is motherboard with microcontroller, low-power radio and expansion connector. Center is sensor protoboard containing photosensor, thermistor, and breadboard area. Right is 3D accelerometer board. Far right shows “laptop lab” with wireless sensor stack bay.

Figure 2: TinyOS Component graph for ad hoc networked sensor application

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1 In building scalable clusters, we found it challenging to orient researchers toward working at the aggregate level, rather than opening a window on each of several machines.

2 The behavior of such a component is more sophisticated than for a serial line. Given the signal characteristics of low-power RF, it must scan for a start symbol, not just a start bit. It must also provide aspects of media access control, such collision sensing, backoff, and phase adjustment.

3 We find that with low-power RF, signal strength is too strongly effected by interference in the nodes environment to be useful in location determination indoors. Interestingly, bit error rates have been shown to be a much more reliable indicator of proximity.

4 It is troubling to note that while there is a large amount of information on code size of embedded OSes, there are very few hard performance numbers published. [os_bench] has started a program to test various real-time operating systems yet they are keeping the results confidential - you can view

them for a fee.

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