An Architecture for Self -Aware IOT Applications

Lukas Esterle; Bernhard Rinner

doi:10.1109/ICASSP.2018.8462005

An Architecture for Self -Aware IOT Applications

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Conference article › Research › peer-review

8 Citations (Scopus)

Abstract

Future Internet of Things (IoT) applications will face challenges in increased flexibility, uncertainty, dynamics and scalability. Self-aware computing maintains knowledge about the applications state and environment and then uses this knowledge to reason about and adapt behaviours. In this position paper, we introduce self-aware computing as design approach for IoT applications which is centred around a self-aware architecture for IoT nodes. This architecture particularly supports adaptations based on node interactions. We demonstrate our approach with an IoT case study on multi-object coverage with mobile cameras.

Original language	English
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages (from-to)	6588-6592
Number of pages	5
ISSN	1520-6149
DOIs	https://doi.org/10.1109/ICASSP.2018.8462005
Publication status	Published - 10 Sept 2018
Externally published	Yes
Event	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada Duration: 15 Apr 2018 → 20 Apr 2018

Conference

Conference	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/Territory	Canada
City	Calgary
Period	15/04/2018 → 20/04/2018

Keywords

Architecture
Internet-of-things
Mobile cameras
Node interactions
Self-aware computing

Access to Document

10.1109/ICASSP.2018.8462005

Cite this

@inproceedings{6860582f938c47419b2d4cdc63551aaf,

title = "An Architecture for Self -Aware IOT Applications",

abstract = "Future Internet of Things (IoT) applications will face challenges in increased flexibility, uncertainty, dynamics and scalability. Self-aware computing maintains knowledge about the applications state and environment and then uses this knowledge to reason about and adapt behaviours. In this position paper, we introduce self-aware computing as design approach for IoT applications which is centred around a self-aware architecture for IoT nodes. This architecture particularly supports adaptations based on node interactions. We demonstrate our approach with an IoT case study on multi-object coverage with mobile cameras.",

keywords = "Architecture, Internet-of-things, Mobile cameras, Node interactions, Self-aware computing",

author = "Lukas Esterle and Bernhard Rinner",

year = "2018",

month = sep,

day = "10",

doi = "10.1109/ICASSP.2018.8462005",

language = "English",

pages = "6588--6592",

journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "1520-6149",

publisher = "IEEE Service Center",

note = "2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 ; Conference date: 15-04-2018 Through 20-04-2018",

}

TY - GEN

T1 - An Architecture for Self -Aware IOT Applications

AU - Esterle, Lukas

AU - Rinner, Bernhard

PY - 2018/9/10

Y1 - 2018/9/10

N2 - Future Internet of Things (IoT) applications will face challenges in increased flexibility, uncertainty, dynamics and scalability. Self-aware computing maintains knowledge about the applications state and environment and then uses this knowledge to reason about and adapt behaviours. In this position paper, we introduce self-aware computing as design approach for IoT applications which is centred around a self-aware architecture for IoT nodes. This architecture particularly supports adaptations based on node interactions. We demonstrate our approach with an IoT case study on multi-object coverage with mobile cameras.

AB - Future Internet of Things (IoT) applications will face challenges in increased flexibility, uncertainty, dynamics and scalability. Self-aware computing maintains knowledge about the applications state and environment and then uses this knowledge to reason about and adapt behaviours. In this position paper, we introduce self-aware computing as design approach for IoT applications which is centred around a self-aware architecture for IoT nodes. This architecture particularly supports adaptations based on node interactions. We demonstrate our approach with an IoT case study on multi-object coverage with mobile cameras.

KW - Architecture

KW - Internet-of-things

KW - Mobile cameras

KW - Node interactions

KW - Self-aware computing

UR - http://www.scopus.com/inward/record.url?scp=85054229365&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2018.8462005

DO - 10.1109/ICASSP.2018.8462005

M3 - Conference article

AN - SCOPUS:85054229365

SN - 1520-6149

SP - 6588

EP - 6592

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018

Y2 - 15 April 2018 through 20 April 2018

ER -

An Architecture for Self -Aware IOT Applications

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this