Abstract
Wireless sensor networks are attracting increasing interest but suffering from severe challenges such as power constraints and low data reliability. Sensors are often energy-hungry and cannot operate over a long period, and the data they collect are frequently erroneous due to complex causes. Thus a challenging research question is how to optimise energy consumptions on sensors while keeping the collected sensor data accurate. The current literature often treat these two problems separately, however, in this talk we will present an integrated self-organising solution for model-based data collection that can preserve sensors’ energy by reducing the amount of communications and as well as deal with sensor errors.

Bio

Lei Fang is a PhD student supervised by Prof. Simon Dobson and Dr Dharini Balasubramaniam. He received his first degree in Information and Computing Science from the University of Liverpool. His research interests reside in sensor data modelling, fault detection and inference.