Poster Abstract: Harvester – Energy Savings Through Synchronized Low-power Listening
Roman Lim, Matthias Woehrle, Andreas Meier, Jan Beutel · 2009
Abstract — Long-term data gathering with Wireless Sensor Networks (WSNs) requires drastic optimization of power consumption to provide a long system lifetime, especially for battery operated motes. In this work, we discuss Harvester, a low power data collection application that leverages recent advancements over the standard MAC and network layer components provided by the TinyOS-2.x operating system. More specifically we contribute an energy saving strategy based on a per-hop synchronization mechanism on the MAC layer. Our open-source implementation achieves over 70 % energy savings over the standard LPL layer currently provided by TinyOS. I.