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Opportunistic Data Collection for IoT-Based Indoor Air Quality Monitoring
Luleå tekniska universitet.
CSIRO, Melbourne.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3489-7429
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8561-7963
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2017 (English)In: Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 17th International Conference, NEW2AN 2017, 10th Conference, ruSMART 2017, Third Workshop NsCC 2017, St. Petersburg, Russia, August 28–30, 2017, Proceedings / [ed] Galinina O., Andreev S., Balandin S., Koucheryavy Y., Cham: Springer, 2017, p. 53-65Conference paper, Published paper (Refereed)
Abstract [en]

Opportunistic sensing advance methods of IoT data collection using the mobility of data mules, the proximity of transmitting sensor devices and cost efficiency to decide when, where, how and at what cost collect IoT data and deliver it to a sink. This paper proposes, develops, implements and evaluates the algorithm called CollMule which builds on and extends the 3D kNN approach to discover, negotiate, collect and deliver the sensed data in an energy- and cost-efficient manner. The developed CollMule software prototype uses Android platform to handle indoor air quality data from heterogeneous IoT devices. The CollMule evaluation is based on performing rate, power consumption and CPU usage of single algorithm cycle. The outcomes of these experiments prove the feasibility of CollMule use on mobile smart devices.

Place, publisher, year, edition, pages
Cham: Springer, 2017. p. 53-65
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10531
National Category
Media and Communication Technology
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-66098DOI: 10.1007/978-3-319-67380-6_5Scopus ID: 2-s2.0-85031411967ISBN: 978-3-319-67379-0 (print)ISBN: 978-3-319-67380-6 (print)OAI: oai:DiVA.org:ltu-66098DiVA, id: diva2:1148855
Conference
17th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, 10th Conference on Internet of Things and Smart Spaces, ruSMART 2017 and 3rd International Workshop on Nano-scale Computing and Communications, NsCC 2017, St. Petersburg, Russia, August 28–30, 2017
Available from: 2017-10-12 Created: 2017-10-12 Last updated: 2018-06-28Bibliographically approved

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Citation style
  • apa
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