Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs

Charalampos Orfanidis; Yue Zhang; Nicola Dragoni

doi:10.1007/978-3-319-19728-9_24

Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs

Charalampos Orfanidis
, Yue Zhang
, Nicola Dragoni

Technical University of Denmark
East China Normal University
Örebro University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Energy efficiency is a key factor to prolong the lifetime of wireless sensor networks (WSNs). This is particularly true in the design of human-centric wireless sensor networks (HCWSN) where sensors are more and more embedded and they have to work in resource-constraint settings. Resource limitation has a significant impact on the design of a WSN and the adopted fault detection method. This paper investigates a number of fault detection approaches and proposes a fault detection framework based on an energy efficiency perspective. The analysis and design guidelines given in this paper aims at representing a first step towards the design of energy-efficient detection approaches in resource-constraint WSN, like HCWSNs.

Original language	English
Title of host publication	Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015)
Editors	Gordan Jezic, Robert J. Howlett, Lakhmi C. Jain
Publisher	Springer
Publication date	2015
Pages	285-300
ISBN (Print)	978-3-319-19727-2
ISBN (Electronic)	978-3-319-19728-9
DOIs	https://doi.org/10.1007/978-3-319-19728-9_24
Publication status	Published - 2015
Event	9th International KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015) - Sorrento, Italy Duration: 17 Jun 2015 → 19 Jun 2015 Conference number: 9 http://amsta-15.kesinternational.org/

Conference

Conference	9th International KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015)
Number	9
Country/Territory	Italy
City	Sorrento
Period	17/06/2015 → 19/06/2015
Internet address	http://amsta-15.kesinternational.org/

Series	Smart Innovation, Systems and Technologies
Volume	38
ISSN	2190-3018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1007/978-3-319-19728-9_24

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Orfanidis, C., Zhang, Y., & Dragoni, N. (2015). Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs. In G. Jezic, R. J. Howlett, & L. C. Jain (Eds.), Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015) (pp. 285-300). Springer. https://doi.org/10.1007/978-3-319-19728-9_24

Orfanidis, Charalampos ; Zhang, Yue ; Dragoni, Nicola. / Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs. Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015). editor / Gordan Jezic ; Robert J. Howlett ; Lakhmi C. Jain. Springer, 2015. pp. 285-300 (Smart Innovation, Systems and Technologies, Vol. 38).

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title = "Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs",

abstract = "Energy efficiency is a key factor to prolong the lifetime of wireless sensor networks (WSNs). This is particularly true in the design of human-centric wireless sensor networks (HCWSN) where sensors are more and more embedded and they have to work in resource-constraint settings. Resource limitation has a significant impact on the design of a WSN and the adopted fault detection method. This paper investigates a number of fault detection approaches and proposes a fault detection framework based on an energy efficiency perspective. The analysis and design guidelines given in this paper aims at representing a first step towards the design of energy-efficient detection approaches in resource-constraint WSN, like HCWSNs.",

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booktitle = "Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015)",

note = "9th International KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015), KES-AMSTA ; Conference date: 17-06-2015 Through 19-06-2015",

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Orfanidis, C, Zhang, Y & Dragoni, N 2015, Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs. in G Jezic, RJ Howlett & LC Jain (eds), Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015). Springer, Smart Innovation, Systems and Technologies, vol. 38, pp. 285-300, 9th International KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015), Sorrento, Italy, 17/06/2015. https://doi.org/10.1007/978-3-319-19728-9_24

Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs. / Orfanidis, Charalampos; Zhang, Yue; Dragoni, Nicola.
Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015). ed. / Gordan Jezic; Robert J. Howlett; Lakhmi C. Jain. Springer, 2015. p. 285-300 (Smart Innovation, Systems and Technologies, Vol. 38).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs

AU - Orfanidis, Charalampos

AU - Zhang, Yue

AU - Dragoni, Nicola

N1 - Conference code: 9

PY - 2015

Y1 - 2015

N2 - Energy efficiency is a key factor to prolong the lifetime of wireless sensor networks (WSNs). This is particularly true in the design of human-centric wireless sensor networks (HCWSN) where sensors are more and more embedded and they have to work in resource-constraint settings. Resource limitation has a significant impact on the design of a WSN and the adopted fault detection method. This paper investigates a number of fault detection approaches and proposes a fault detection framework based on an energy efficiency perspective. The analysis and design guidelines given in this paper aims at representing a first step towards the design of energy-efficient detection approaches in resource-constraint WSN, like HCWSNs.

AB - Energy efficiency is a key factor to prolong the lifetime of wireless sensor networks (WSNs). This is particularly true in the design of human-centric wireless sensor networks (HCWSN) where sensors are more and more embedded and they have to work in resource-constraint settings. Resource limitation has a significant impact on the design of a WSN and the adopted fault detection method. This paper investigates a number of fault detection approaches and proposes a fault detection framework based on an energy efficiency perspective. The analysis and design guidelines given in this paper aims at representing a first step towards the design of energy-efficient detection approaches in resource-constraint WSN, like HCWSNs.

U2 - 10.1007/978-3-319-19728-9_24

DO - 10.1007/978-3-319-19728-9_24

M3 - Article in proceedings

SN - 978-3-319-19727-2

T3 - Smart Innovation, Systems and Technologies

SP - 285

EP - 300

BT - Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015)

A2 - Jezic, Gordan

A2 - Howlett, Robert J.

A2 - Jain, Lakhmi C.

PB - Springer

T2 - 9th International KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015)

Y2 - 17 June 2015 through 19 June 2015

ER -

Orfanidis C, Zhang Y, Dragoni N. Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs. In Jezic G, Howlett RJ, Jain LC, editors, Proceedings of the 9th KES International Conference on Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2015). Springer. 2015. p. 285-300. (Smart Innovation, Systems and Technologies, Vol. 38). doi: 10.1007/978-3-319-19728-9_24

Fault Detection in WSNs - An Energy Efficiency Perspective Towards Human-Centric WSNs

Abstract

Conference

UN SDGs

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