Optimizing sensor movement planning for energy efficiency

Guiling Wang, Mary Jane Irwin, Haoying Fu, Piotr Berman, Wensheng Zhang, Tom La Porta

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Article number33
JournalACM Transactions on Sensor Networks
Volume7
Issue number4
DOIs
StatePublished - Feb 1 2011

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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