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Network scheduling for data archiving applications in sensor networks
| Content Provider | ACM Digital Library |
|---|---|
| Author | Servetto, Sergio D. Yao, Yong Gehrke, Johannes Alam, S. M. Nazrul |
| 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. |
| Starting Page | 19 |
| Ending Page | 25 |
| Page Count | 7 |
| File Format | |
| DOI | 10.1145/1315903.1315909 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-09-11 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
