Initial Deployment Areas 1 NM 6 Sensors 150m apart Shore station
Seabed Package Measure Oceanographic variables (15 minute cycle) Temperature (1 sample/min) Pressure (1 sample/s for 5 mins) Turbidity (10 samples/min) Tilt (aka current) - (1 sample/s for 5 mins) Conductivity (1 sample/min) Adapt sampling rates Adaptively log data Transmit selected data to radio buoy
Adaptive sampling Measure, delete, combine, forward, sleep Use local variability, neighbour variability and internal state Self configure using distributed evolutionary algorithm (bacteria) Can adjust priorities and frequency of actions Can form groups (quorum sensing) Reward set by user using a diffusion (gossip) protocol – changes drive auto- reconfiguration of genome
Summary Autonomous adaptive control is needed in environmental sensor networks Network protocols must support and respond to application semantics (be app aware) In simulation adaptation was almost as good as optimal sliding window In practice it dealt well with change from calm to stormy More research will be needed www.secoas.org www.envisense.org
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