On distributed sensor fusion in batteryless intermittent networks

Kasim Sinan Yildirim, Przemyslaw Pawelczak

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Distributed and collaborative computation has never been considered before in networks of batteryless sensors. This can bring many advantages for applications (e.g. longer transmission ranges, lower network costs), however introducing new research challenges. In this paper, we focus on the well-known distributed sensor fusion but in an intermittently-powered batteryless sensor network. The goal is to estimate a parameter collaboratively by considering individual sensor measurements. We show that, even though the nodes stop operation with high probability due to random power failures and they neither communicate with their neighbors nor perform computation most of the time, the simplest implementation of the fully-distributed sensor fusion based on average consensus improves the overall estimation quality of the network considerably. In the light of this, we anticipate that if harvested energy is used efficiently so that nodes have more opportunity to receive and send packets, existing fully-distributed protocols can be implemented with tiny modifications in networks of batteryless sensors.

Original languageEnglish
Title of host publication2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)
PublisherIEEE
Pages495-501
Number of pages7
ISBN (Electronic)978-1-7281-0570-3
ISBN (Print)978-1-7281-0571-0
DOIs
Publication statusPublished - 2019
Event15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019 - Santorini Island, Greece
Duration: 29 May 201931 May 2019

Conference

Conference15th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2019
Country/TerritoryGreece
CitySantorini Island
Period29/05/1931/05/19

Keywords

  • Batteryless sensors
  • Distributed sensor fusion
  • Intermittent communication

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