Optimizing sensor movement planning for energy efficiency
Document Type
Article
Publication Date
2-1-2011
Abstract
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. © 2011 ACM.
Identifier
79952523496 (Scopus)
Publication Title
ACM Transactions on Sensor Networks
External Full Text Location
https://doi.org/10.1145/1921621.1921627
e-ISSN
15504867
ISSN
15504859
Issue
4
Volume
7
Recommended Citation
Wang, Guiling; Irwin, Mary Jane; Fu, Haoying; Berman, Piotr; Zhang, Wensheng; and Porta, Tom La, "Optimizing sensor movement planning for energy efficiency" (2011). Faculty Publications. 11473.
https://digitalcommons.njit.edu/fac_pubs/11473
