Name
Abstract | ||
|---|---|---|
Energy is the most precious resource in wireless sensor networks. To ensure sustainable operations, wireless sensor systems need to harvest energy from environments. The time-varying environmental energy results in the dynamic change of the system's available energy. Therefore, how to dynamically schedule tasks to match the time-varying energy is a challenging problem. In contrast to traditional computing-oriented scheduling methods that focus on reducing computational energy consumption and meeting the tasks' deadlines, we present DEOS, a dynamic energy-oriented scheduling method, which treats energy as a first-class schedulable resource and dynamically schedules tasks based on the tasks' energy consumption and the system's real-time available energy. We extensively evaluate our system in indoor and outdoor settings. Results indicate that DEOS is extremely lightweight (e.g., energy consumption overhead in the worst case is only 0.039%) and effectively schedules tasks to utilize the dynamically available energy. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/INFCOM.2012.6195625 | INFOCOM |
Keywords | Field | DocType |
environmental energy,indoor settings,dynamic energy-oriented scheduling method,first-class schedulable resource,computational energy consumption reduction,energy harvesting,deos,computing-oriented scheduling methods,outdoor settings,wireless sensor networks,sustainable wireless sensor networks,time-varying energy,nickel,real time,wireless sensor network,sensors,dynamic scheduling,schedules | Wireless,Scheduling (computing),Computer science,Energy harvesting,Real-time computing,Schedule,Dynamic priority scheduling,Available energy,Energy consumption,Wireless sensor network,Distributed computing | Conference |
Volume | Issue | ISSN |
null | null | 0743-166X |
ISBN | Citations | PageRank |
978-1-4673-0773-4 | 25 | 1.14 |
References | Authors | |
20 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ting Zhu | 1 | 214 | 12.32 |
| Abedelaziz Mohaisen | 2 | 338 | 30.36 |
| Yi Ping | 3 | 77 | 7.68 |
| Don Towsley | 4 | 18693 | 1951.05 |