This project is addressing the need for an integrated approach that allows sensors deployed within a sensor network to manage their own local energy requirements, and where possible, harvest energy from their local environment, whilst simultaneously coordinating their activities in order to achieve system-wide aggregate goals.
It is a collaborative project across two groups within the School of Electronics and Computer Science (IAM and ESD) and seeks to demonstrate the use of agent-based coordination algorithms within sensors (based upon the Chipcon 2431 System-on-Chip) that are capable of understanding, predicting and managing their own energy use and production.