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 proceedingConference 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 languageEnglish
Title of host publication2015 IEEE 2nd World Forum on Internet of Things (WF-IoT 2015)
Subtitle of host publicationProceedings of a meeting held 14-16 December 2015, Milan, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages406-411
Number of pages6
ISBN (Electronic)9781509003655
ISBN (Print)9781509003679
DOIs
Publication statusPublished - Apr 2016
Event2nd IEEE World Forum on Internet of Things, WF-IoT 2015 - Milan, Italy
Duration: 14 Dec 201516 Dec 2015

Conference

Conference2nd IEEE World Forum on Internet of Things, WF-IoT 2015
CountryItaly
CityMilan
Period14/12/1516/12/15

Structured keywords

  • Digital Health

Keywords

  • Game theory
  • IoT
  • WSN
  • Energy-efficient
  • Sensomax

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