Name
Abstract | ||
|---|---|---|
Tiny intermittently powered computers can monitor objects in hard to reach places maintenance free for decades by leaving batteries behind and surviving off energy harvested from the environment--- avoiding the cost of replacing and disposing of billions or trillions of dead batteries. However, creating programs for these sensors is difficult. Energy harvesting is inconsistent, energy storage is scarce, and batteryless sensors can lose power at any point in time--- causing volatile memory, execution progress, and time to reset. In response to these disruptions, developers must write unwieldy programs attempting to protect against failures, instead of focusing on sensing goals, defining tasks, and generating useful data in a timely manner. To address these shortcomings, we have designed Mayfly, a language and runtime for timely execution of sensing tasks on tiny, intermittently-powered, energy harvesting sensing devices. Mayfly is a coordination language and runtime built on top of Embedded-C that combines intermittent execution fragments to form coherent sensing schedules---maintaining forward progress, data consistency, data freshness, and data utility across multiple power failures. Mayfly makes the passing of time explicit, binding data to the time it was gathered, and keeping track of data and time through power failures. We evaluated Mayfly against state-of-the art systems, conducted a user study, and implemented multiple real world applications across application domains in inventory tracking, and wearables.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3131672.3131673 | SenSys |
Keywords | Field | DocType |
Task language, Time, Batteryless, Intermittent, Energy harvesting | Energy storage,Computer science,Wearable computer,Energy harvesting,Real-time computing,Coordination language,Volatile memory,Embedded system,Data consistency | Conference |
ISBN | Citations | PageRank |
978-1-4503-5459-2 | 19 | 0.67 |
References | Authors | |
25 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Josiah D. Hester | 1 | 138 | 18.13 |
| Kevin Storer | 2 | 32 | 3.61 |
| Jacob Sorber | 3 | 64 | 4.75 |