Wireless Sensor networks are fast becoming a cheap and technologically advantageous solution to data collection problems in many instances. Autonomous data collection nodes typically consist of a microcomputer interfaced to sensors, with the capability of wireless data transfer. This project aims to create a sophisticated data network using such devices to allow for communication to and from nodes, or through nodes as part of an end-to-end service. The major challenge is to institute the sensing and reporting of data, allowing for nodes to act as data routers while using only the limited resources available to a microcomputer on a PCB, connected to an RF data transfer chip. The nodes themselves are designed to allow for modular sensor add ons, in such a way that an entire network could be deployed with sensors as required into any environment, with automatic network discovery allowing for immediate data collection with no configuration required. Sensor options include temperature, humidity, C02, light level, sound level, and smoke detection, amongst others. Nodes can be configured to automatically send reports at intervals, to respond when polled, or to send alarms. It is hoped that this project will demonstrate the power of intelligent wireless networks in efficient data collection over a wide physical area and changing conditions.

Andrew Fairmaid, Associate Professor Graeme Pendock, Chris Morrison, Mitch Ferry