Optimizing sensor movement planning for energy efficiency

Gulling Wang, Mary Jane Irwin, Piotr Berman, Haoying Fu, Tom La Porta

Research output: Contribution to journalConference articlepeer-review

55 Scopus citations

Abstract

Conserving the energy for motion is an important yet notwell-addressed problem in mobile sensor networks. In this paper, 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 velocity schedule for minimizing energy consumption when the road condition is uniform; and a near optimal 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.

Original languageEnglish (US)
Pages (from-to)215-220
Number of pages6
JournalProceedings of the International Symposium on Low Power Electronics and Design
DOIs
StatePublished - Jan 1 2005
Event2005 International Symposium on Low Power Electronics and Design - San Diego, CA, United States
Duration: Aug 8 2005Aug 10 2005

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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