Name
Abstract | ||
|---|---|---|
Wireless sensor nodes are becoming more and more common in various settings and require a long battery life for better maintainability. Since most sensor nodes are powered by batteries, energy efficiency is a critical problem. In an experiment, we observed that when peak power consumption is high, battery voltage drops quickly, and the sensor stops working even though some useful charge remains in the battery. We propose three off-line algorithms that extend battery life by scheduling sensors' execution time that is able to reduce peak power consumption as much as possible under a deadline constraint. We also developed a simulator to evaluate the effectiveness of these algorithms. The simulation results showed that one of the three algorithms dramatically can extend battery life approximately three time as long as in simultaneous sensor activation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1587/transfun.E96.A.1236 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | Field | DocType |
sensor node, battery life, scheduling algorithm, real-time constraint | Sensor node,Key distribution in wireless sensor networks,Fair-share scheduling,Scheduling (computing),Computer network,Brooks–Iyengar algorithm,Real-time computing,Battery (electricity),Mathematics | Journal |
Volume | Issue | ISSN |
E96A | 6 | 0916-8508 |
Citations | PageRank | References |
4 | 0.49 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qian Zhao | 1 | 5 | 0.87 |
| Yukikazu Nakamoto | 2 | 79 | 21.50 |
| Shimpei Yamada | 3 | 4 | 1.51 |
| Koutaro Yamamura | 4 | 4 | 0.49 |
| Makoto Iwata | 5 | 4 | 0.49 |
| Masayoshi Kai | 6 | 4 | 0.49 |