IoT Sensor Lifecycle Management

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http://urn.fi/URN:NBN:fi:hulib-201908133210
Title: IoT Sensor Lifecycle Management
Author: Kontio, Heikki
Contributor: University of Helsinki, Faculty of Science
Publisher: Helsingin yliopisto
Date: 2019
Language: eng
URI: http://urn.fi/URN:NBN:fi:hulib-201908133210
http://hdl.handle.net/10138/304679
Thesis level: master's thesis
Discipline: Tietojenkäsittelytiede
Abstract: The number of IoT sensors is steadily rising in the world. As they're being used more and more in industries and households, the importance of proper lifecycle management (LCM) is increasing. Failure detection and security management are essential to be able to manage the large number of devices. In this thesis a number of platforms are evaluated, on the basis of meeting the expectations of LCM. The evaluation was done via a gap analysis. The categories for the analysis were: tools for estimating the remaining useful lifetime for sensors, API availability for LCM, failure detection and security management. Based on the gap analysis a list of recommendations is given in order to fill the gaps: - universal, platform-independent tools for estimating the remaining useful lifetime (RUL) - update APIs to widely used scalable and extensible architectural style REST - platform-independent standard for sensors reporting health status - industry-standard detection methods available for all


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