Name
Abstract | ||
|---|---|---|
Since data archiving in sensor networks is a communication intensive application, a careful power management of communication is of critical importance for such networks. An example is FPS, an adaptive power scheduling algorithm that combines slotted scheduling with a CSMA MAC [7]. In this paper, we first propose a new global power scheduling protocol called Multi-Flow Power Scheduling (MPS) that delivers more data and consumes less energy than existing power scheduling protocols. MPS sets up a transmission schedule through standard data aggregation and dissemination operations, however since it creates a global schedule it does not scale to large networks. We then present a new power scheduling protocol called Hybrid Power Scheduling (HPS) that retains the scalability of FPS while maintaining the energy efficiency and high data delivery rate of MPS. In a thorough simulation study, we compare HPS and MPS, and our results show the efficacy of HPS. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1315903.1315909 | DMSN |
Keywords | Field | DocType |
network scheduling,adaptive power scheduling algorithm,hybrid power scheduling,new power scheduling protocol,standard data aggregation,high data delivery rate,careful power management,power scheduling protocol,sensor network,new global power scheduling,multi-flow power scheduling,slotted scheduling,data aggregation,scheduling algorithm,energy efficient | Power management,Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Scheduling (computing),Two-level scheduling,Real-time computing,Rate-monotonic scheduling,Dynamic priority scheduling,Round-robin scheduling,Distributed computing | Conference |
Citations | PageRank | References |
5 | 0.58 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Yao | 1 | 1035 | 67.92 |
| S. M. Nazrul Alam | 2 | 157 | 7.81 |
| Johannes Gehrke | 3 | 13362 | 1055.06 |
| Sergio D. Servetto | 4 | 438 | 60.73 |