Lessons from a pilot deployment of energy efficient data collection protocols in wireless sensor networks

This study reports results of, as well as experiences and engineering challenges encountered, during a pilot deployment of a Dual Prediction and Probabilistic Scheduler (DPPS) for energy efficient data collection (EEDC). The deployment was motivated by sensor network supplier, Senceive Ltd., whose researchers wanted to incorporate more intelligence into their firmware to facilitate more cost effective remote asset management. The process of embedding and deploying DPPS, highlighted the importance of re-evaluating the assumptions typically overlooked in computer simulations and emphasises the need for sensor network researchers as a whole to reconsider the usefulness of EEDC protocols through real-life experimental deployment.