System Energy Efficiency Lab
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Sensor-Rocks

Long-term deployments of sensor-based environmental observing systems face two critical challenges namely, a manual software Operations and Management (O&M) approach that does not scale and a power management approach that does not meet the functional, operational, financial, and policy requirements. In this proposal we will develop an integrated approach that will address both these challenges.

Long-term science experiments that require high-resolution sensor data need platforms (e.g. buoys or towers), which are large enough to house large solar panels and bulky batteries. The current practice of using large form factor platforms poses significant functional, operational, financial, and policy challenges. For example, large solar panels and batteries cost more money and result in less portable platforms which are harder to deploy and maintain. In addition, policy decisions often regulate the form factor of buoys that can be deployed in public lakes, oceans, or forests (e.g., to preserve aesthetic value). Although scientists would like to go with miniaturized buoys, energy-constraints imposed by small solar panels and batteries limit their deployment duration. To that end, building on a well defined "sensor appliance" created using Sensor-Rocks, we will develop novel context-aware power management algorithms that will maximize the network lifetime and provide scientists unprecedented capability to conduct long-term experiments using miniaturized platforms.


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Publications

Conference Papers:

  1. J.S. Yang, S. Tilak and T.S. Rosing, "Leveraing application context for efficient sensing", IEEE ISSNIP, 2014

  2. J.S. Yang, S. Tilak and T. S. Rosing, "A novel protocol for adaptive broadcasting of sensor data in urban scenarios", IEEE ISSNIP, 2013 IEEE

  3. J.S. Yang, S. Tilak, D. Krishnaswamyand and T. S. Rosing, "A novel protocol for adaptive broadcasting of sensor data in urban scenarios", IEEE GlobeCom, 2013


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