Communication scheduling and remote estimation with energy harvesting sensor

Ashutosh Nayyar, Tamer Basar, Demosthenis Teneketzis, Venugopal V. Veeravalli

Research output: Contribution to journalConference articlepeer-review


We consider a remote estimation problem with an energy-harvesting sensor and a remote estimator. The sensor harvests energy from its environment (say, for example, through a solar cell) and uses this energy for the purpose of communicating with the estimator. Due to the randomness of energy available for communication, we need to find a communication scheduling strategy for the sensor. The estimator relies on messages communicated by the sensor to produce real-time estimates of the sensor's observations. We consider the problem of finding a communication scheduling strategy for the sensor and an estimation strategy for the estimator that jointly minimize an expected sum of communication and distortion costs over a finite time horizon. We find a dynamic programming characterization of optimal strategies. Under some symmetry assumptions on source statistics and the distortion metric, we show that an optimal communication strategy is a threshold based one and that the optimal estimate is always the most recently received sensor observation.

Original languageEnglish (US)
Article number6426984
Pages (from-to)843-848
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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