The asymptotic equivalence between sensing systems with energy harvesting and conventional energy sources

Jingxian Wu, Jing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, we seek answer to the question: can a wireless sensing system with energy harvesting power supplies perform as well as one with conventional power supplies? Due to the stochastic nature of the energy harvested from the ambient environment, uniform sampling employed by conventional sensing systems is usually infeasible for energy harvesting sensing systems. We propose a simple best-effort sensing scheme, which defines a set of equally-spaced candidate sensing instants. At a given candidate sensing instant, the sensor will perform sensing if there is sufficient energy available, and it will remain silent otherwise. It is analytically shown that the percentage of silent candidate sensing instants diminishes as time increases, if and only if the average energy harvesting rate is no less than the average energy consumption rate. The theoretical results are then used to guide the design of a practical sensing system that monitors a time-varying event. Both analysis and simulations show that the energy harvesting system with the best-effort sensing scheme can asymptotically achieve the same mean squared error (MSE) performance as one with uniform sensing and deterministic energy sources. Therefore, we provide a positive answer to the question from both theoretical and practical aspects.

Original languageEnglish (US)
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1753-1758
Number of pages6
ISBN (Electronic)9781479935116
DOIs
StatePublished - Feb 9 2014
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: Dec 8 2014Dec 12 2014

Publication series

Name2014 IEEE Global Communications Conference, GLOBECOM 2014

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period12/8/1412/12/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

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