Distributed sensor Fusion for activity detection in smart buildings

C. Papatsimpa, J. P.M.G. Linnartz

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
1 Downloads (Pure)

Abstract

Modern building systems often utilize multiple, physically separated sensors (sometimes of different type) to better detect occupancy. Such systems typically rely on a central processor where global data fusion takes place. However, such centralized architectures give rise to problems with communication and computational bottlenecks and are susceptible to total system failure should the central facility fail. There are significant advantages in distributing operations over multiple processing nodes. In the wake of this need, this paper addresses the problem of presence detection in a building by employing a decentralized sensing architecture. We focus on a network of radar sensor nodes, each with its own processing facility. Each node runs a hidden Markov model algorithm to provide a local estimate of the occupancy state and share it via wireless links. We introduce a distributed fusion algorithm that optimally combines the information generated by local nodes, having access to their private information, and recovers exactly the global estimation. System performance is evaluated in real world conditions, where sensor errors and communication may not exactly follow idealized model assumptions.

Original languageEnglish
Title of host publicationInternet and Distributed Computing Systems - 11th International Conference, IDCS 2018, Proceedings
EditorsAntonio Guerrieri, Jason J. Jung, Giancarlo Fortino, Jingtao Sun, Yang Xiang
Place of PublicationCham
PublisherSpringer
Pages87-99
Number of pages13
ISBN (Electronic)978-3-030-02738-4
ISBN (Print)978-3-030-02737-7
DOIs
Publication statusPublished - 1 Jan 2018
Event11th International Conference on Internet and Distributed Computing Systems, IDCS 2018 - Tokyo, Japan
Duration: 11 Oct 201813 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11226 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Internet and Distributed Computing Systems, IDCS 2018
Country/TerritoryJapan
CityTokyo
Period11/10/1813/10/18

Keywords

  • Energy efficiency
  • Internet of Things (IoT)
  • Sensor fusion
  • Smart buildings

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