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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.
|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)|
|Number of pages||6|
|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||2nd IEEE World Forum on Internet of Things, WF-IoT 2015|
|Period||14/12/15 → 16/12/15|
- Digital Health
- Game theory
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- 1 Finished
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., 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