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)

4 Citations (Scopus)

341 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	Italy
City	Milan
Period	14/12/15 → 16/12/15

Structured keywords

Digital Health

Keywords

Game theory
IoT
WSN
Energy-efficient
Sensomax

Access to Document

10.1109/WF-IoT.2015.7389089

Full-text PDF (accepted author manuscript)
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Accepted author manuscript, 640 KB

Link to publication in Scopus

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SPHERE (EPSRC IRC)
Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R. J. S., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.
1/10/13 → 30/09/18
Project: Research, Parent

Cite this

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

Haghighi, Mo ; Maraslis, Konstantinos ; Tryfonas, Theo ; Oikonomou, George ; Burrows, Alison ; Woznowski, Pete ; Piechocki, Robert. / Game Theoretic Approach Towards Optimal Multi-tasking and Data-distribution in IoT. 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. pp. 406-411

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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.",

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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 ; Oikonomou, George; Burrows, Alison; Woznowski, Pete; Piechocki, Robert.

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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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 https://doi.org/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

SPHERE (EPSRC IRC)

Cite this