Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT

Mo Haghighi; Konstantinos Maraslis; Theo Tryfonas; George Oikonomou; Alison Burrows; Pete Woznowski; Robert Piechocki

doi:10.1109/WF-IoT.2015.7389089

Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT

Mo Haghighi, Konstantinos Maraslis, Theo Tryfonas, George Oikonomou, Alison Burrows, Pete Woznowski, Robert Piechocki

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

5 Citations (Scopus)

379 Downloads (Pure)

Abstract

Current applications of Internet of Things (IoT) often require nodes to implement logical decision-making on aggregated data, which involves more processing and wider interactions amongst network peers, resulting in higher energy consumption and shorter node lifetime. This paper presents a game theoretic approach used in Sensomax, an agent-based WSN middleware that facilitates seamless integration of mathematical functions in large-scale wireless sensor networks. In this context, we investigate game theoretic and auction-based techniques to optimise task distribution and energy consumption in IoT networks of multiple concurrent WSNs. We also demonstrate how our proposed game theoretic approach affects the performance of WSN applications with different operational paradigms.

Original language	English
Title of host publication	2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015)
Subtitle of host publication	Proceedings of a meeting held 14-16 December 2015, Milan, Italy
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	406-411
Number of pages	6
ISBN (Electronic)	9781509003655
ISBN (Print)	9781509003679
DOIs	https://doi.org/10.1109/WF-IoT.2015.7389089
Publication status	Published - Apr 2016
Event	2nd IEEE World Forum on Internet of Things, WF-IoT 2015 - Milan, Italy Duration: 14 Dec 2015 → 16 Dec 2015

Conference

Conference	2nd IEEE World Forum on Internet of Things, WF-IoT 2015
Country/Territory	Italy
City	Milan
Period	14/12/15 → 16/12/15

Structured keywords

Digital Health
SPHERE

Keywords

Game theory
IoT
WSN
Energy-efficient
Sensomax

Access to Document

10.1109/WF-IoT.2015.7389089

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Institute of Electrical and Electronics Engineers at http://dx.doi.org/10.1109/WF-IoT.2015.7389089. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 640 KB

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Haghighi, M., Maraslis, K., Tryfonas, T., Oikonomou, G., Burrows, A., Woznowski, P., & Piechocki, R. (2016). Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015): Proceedings of a meeting held 14-16 December 2015, Milan, Italy (pp. 406-411). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WF-IoT.2015.7389089

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title = "Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT",

abstract = "Current applications of Internet of Things (IoT) often require nodes to implement logical decision-making on aggregated data, which involves more processing and wider interactions amongst network peers, resulting in higher energy consumption and shorter node lifetime. This paper presents a game theoretic approach used in Sensomax, an agent-based WSN middleware that facilitates seamless integration of mathematical functions in large-scale wireless sensor networks. In this context, we investigate game theoretic and auction-based techniques to optimise task distribution and energy consumption in IoT networks of multiple concurrent WSNs. We also demonstrate how our proposed game theoretic approach affects the performance of WSN applications with different operational paradigms.",

keywords = "Game theory, IoT, WSN, Energy-efficient, Sensomax",

author = "Mo Haghighi and Konstantinos Maraslis and Theo Tryfonas and George Oikonomou and Alison Burrows and Pete Woznowski and Robert Piechocki",

year = "2016",

month = apr,

doi = "10.1109/WF-IoT.2015.7389089",

language = "English",

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booktitle = "2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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note = "2nd IEEE World Forum on Internet of Things, WF-IoT 2015 ; Conference date: 14-12-2015 Through 16-12-2015",

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Haghighi, M, Maraslis, K, Tryfonas, T , Oikonomou, G, Burrows, A, Woznowski, P & Piechocki, R 2016, Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT. in 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015): Proceedings of a meeting held 14-16 December 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE), pp. 406-411, 2nd IEEE World Forum on Internet of Things, WF-IoT 2015, Milan, Italy, 14/12/15. https://doi.org/10.1109/WF-IoT.2015.7389089

Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT. / Haghighi, Mo; Maraslis, Konstantinos; Tryfonas, Theo et al.

2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015): Proceedings of a meeting held 14-16 December 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE), 2016. p. 406-411.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Haghighi, Mo

AU - Maraslis, Konstantinos

AU - Tryfonas, Theo

AU - Oikonomou, George

AU - Burrows, Alison

AU - Woznowski, Pete

AU - Piechocki, Robert

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AB - Current applications of Internet of Things (IoT) often require nodes to implement logical decision-making on aggregated data, which involves more processing and wider interactions amongst network peers, resulting in higher energy consumption and shorter node lifetime. This paper presents a game theoretic approach used in Sensomax, an agent-based WSN middleware that facilitates seamless integration of mathematical functions in large-scale wireless sensor networks. In this context, we investigate game theoretic and auction-based techniques to optimise task distribution and energy consumption in IoT networks of multiple concurrent WSNs. We also demonstrate how our proposed game theoretic approach affects the performance of WSN applications with different operational paradigms.

KW - Game theory

KW - IoT

KW - WSN

KW - Energy-efficient

KW - Sensomax

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Haghighi M, Maraslis K, Tryfonas T , Oikonomou G, Burrows A, Woznowski P et al. Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015): Proceedings of a meeting held 14-16 December 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE). 2016. p. 406-411 Epub 2015 Dec 16. doi: 10.1109/WF-IoT.2015.7389089

Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT

Abstract

Conference

Structured keywords

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

SPHERE (EPSRC IRC)

Cite this

Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT

Abstract

Conference

Structured keywords

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Projects

SPHERE (EPSRC IRC)

Cite this