Optimizing sensor movement planning for energy efficiency
Conserving the energy for motion is an important yet not-well-addressed problem in mobile sensor networks. In this article, we study the problem of optimizing sensor movement for energy efficiency. We adopt a complete energy model to characterize the entire energy consumption in movement. Based on t...
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| Veröffentlicht in: | ACM transactions on sensor networks 2011-02, Vol.7 (4) |
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| container_title | ACM transactions on sensor networks |
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| creator | Wang, Guiling Irwin, Mary Jane Fu, Haoying Berman, Piotr Zhang, Wensheng La Porta, Tom |
| description | Conserving the energy for motion is an important yet not-well-addressed problem in mobile sensor networks. In this article, we study the problem of optimizing sensor movement for energy efficiency. We adopt a complete energy model to characterize the entire energy consumption in movement. Based on the model, we propose an optimal trapezoidal velocity schedule for minimizing energy consumption when the road condition is uniform; and a corresponding velocity schedule for the variable road condition by using continuous-state dynamic programming. Considering the variety in motion hardware, we also design one velocity schedule for simple microcontrollers, and one velocity schedule for relatively complex microcontrollers, respectively. Simulation results show that our velocity planning may have significant impact on energy conservation. |
| doi_str_mv | 10.1145/958491.958512 |
| format | Article |
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| source | ACM Digital Library |
| subjects | Energy conservation Energy consumption Movement Networks Optimization Roads Schedules Sensors |
| title | Optimizing sensor movement planning for energy efficiency |
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