Communication scheduling and remote estimation with energy harvesting sensor

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

Research output: Contribution to journalConference article

Abstract

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
DOIs
StatePublished - Dec 1 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

Fingerprint

Energy Harvesting
Energy harvesting
Scheduling
Sensor
Communication
Sensors
Estimator
Energy
Solar Cells
Optimal Strategy
Dynamic programming
Estimate
Randomness
Dynamic Programming
Horizon
Solar cells
Statistics
Real-time
Minimise
Symmetry

ASJC Scopus subject areas

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

Cite this

Communication scheduling and remote estimation with energy harvesting sensor. / Nayyar, Ashutosh; Basar, Tamer; Teneketzis, Demosthenis; Veeravalli, Venugopal V.

In: Proceedings of the IEEE Conference on Decision and Control, 01.12.2012, p. 843-848.

Research output: Contribution to journalConference article

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