Optimizing sensor movement planning for energy efficiency

Authors:
Guiling Wang;Mary Jane Irwin;Haoying Fu;Piotr Berman;Wensheng Zhang;Tom La Porta
Affiliations:
New Jersey Institute of Technology, Newark, NJ;The Pennsylvania State University, University Park, PA;Google Inc., Mountain View, CA;The Pennsylvania State University, University Park, PA;Iowa State University, Ames, IA;The Pennsylvania State University, University Park, PA
Venue:
ACM Transactions on Sensor Networks (TOSN)
Year:
2011

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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.