Impact of battery degradation on optimal management policies of harvesting-based wireless sensor devices

Nicolo Michelusi, Leonardo Badia, Ruggero Carli, Luca Corradini, Michele Zorzi

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

Abstract

Harvesting-Based Wireless Sensor Devices are increasingly being deployed in today's sensor networks, due to their demonstrated advantages in terms of prolonged lifetime and autonomous operation. However, irreversible degradation mechanisms jeopardize battery lifetime, calling for intelligent management policies, which minimize the impact of these phenomena while guaranteeing a minimum Quality of Service (QoS). This paper explores a mathematical characterization of harvesting-based battery-powered sensor devices, focusing on the impact of the battery discharge policy on the irreversible degradation of the storage capacity. A general framework based on Markov chains which captures the battery degradation process is proposed. Based on such model, it is shown that a degradation-aware policy significantly improves the lifetime of the sensor compared to 'greedy' operation policies, while guaranteeing the minimum required QoS.

Original languageEnglish (US)
Title of host publication2013 Proceedings IEEE INFOCOM 2013
Pages590-594
Number of pages5
DOIs
StatePublished - 2013
Externally publishedYes
Event32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013 - Turin, Italy
Duration: Apr 14 2013Apr 19 2013

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other32nd IEEE Conference on Computer Communications, IEEE INFOCOM 2013
CountryItaly
CityTurin
Period4/14/134/19/13

Keywords

  • Battery management
  • Energy harvesting
  • Lifetime estimation
  • Markov processes
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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