Continuous Space-Time Semantics Allow Adaptive Program Execution

A spatial computer is a collection of devices filling space whose ability to interact is strongly dependent on their proximity. Previously, we have showed that programming such a computer as a continuous space can allow self-scaling across computers with different device distributions and can increase robustness against device failure. We have extended these ideas to time, allowing self-scaling across computers with different communication and execution rates. We have used a network of 24 Mica! Motes to demonstrate that a program exploiting these ideas shows minimal difference in behavior as the time between program steps ranges from 100 ms to 300 ms and on a configuration with mixed rates.