Organic Architectures for Large-Scale Environment-Aware Sensor Networks

摘要

This paper examines how methods inspired by biological processes can be applied to the design of large-scale environment-aware sensor networks. Our ultimate goal are systems containing thousands of sensors spanning large building complexes or even cities that can cooperate to detect and analyse complex situations. We discuss the problems involved in implementing such systems using conventional engineering approaches, sketch a system architecture that can circumvent these problems by evolving a system optimised for a given application domain from a rough generic template, and discuss initial ideas for using biological analogies to perform the required adaptations. These include low-level attention, brain plasticity, and genetic regulatory networks.