Optimal Transmission Policies for Two-User Energy Harvesting Device Networks with Limited State-of-Charge Knowledge

Davide Del Testa, Nicolo Michelusi, Michele Zorzi

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This paper considers a wireless network composed of a pair of sensors powered by energy harvesting devices (EHDs), which transmit data to a receiver over a shared wireless channel. At any given time, based on the energy levels of the two rechargeable batteries of the sensors, a central controller (CC) decides on the amount of energy to be drawn from the two batteries and used for transmission. The problem considered is the maximization of the long-term average reward associated with data transmission, by optimizing the transmission strategy of the two nodes, in the case of a collision channel model and both i.i.d. and correlated energy arrivals. In addition, contrary to the traditional assumption that the amount of energy available to the sensors can be easily estimated, we derive the optimal policy in the cases where the state of charge (SOC) may not be perfectly known by the central controller, analyzing the performance degradation caused by this imperfect knowledge of the SOC. For this second scenario, supposing that the CC is only aware that each SOC is 'LOW' or 'HIGH,' we show that the impact of imperfect knowledge decreases with the two battery capacities and is negligible in most cases of practical interest.

Original languageEnglish (US)
Article number7296672
Pages (from-to)1393-1405
Number of pages13
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number2
DOIs
StatePublished - Feb 2016
Externally publishedYes

Keywords

  • Energy harvesting
  • Markov decision processes
  • renewable energy sources
  • wireless sensor networks

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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