Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks

S. Galzarano, G. Fortino, A. Liotta

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)

Abstract

Wireless Body Sensor Networks (WBSNs) have proved to be a suitable technology for supporting the monitoring of physical and physiological activities of the human body. However, avoiding erroneous behavior of WBSN-based systems is an issue of fundamental importance, especially for critical health-care applications. In this regard, proper self-healing techniques should be able to fulfill requirements such as fault tolerance and reliability by detecting, and possibly recovering, faults and errors at runtime. In this paper, we focus on data faults, by first studying the impact of corrupted data, affecting sensed data by different kind of data-fault models, on the accuracy of a human activity recognition system. Then, we describe how the SPINE-* framework is able to enhance the WBSN system by adding instrumental autonomic elements providing the necessary self-healing operations. We find that the use of autonomic elements makes the system much more efficient and reliable thanks to its improved tolerance to data faults, as demonstrated by experimental results.
Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (Seoul, Korea, October 14-17, 2012)
PublisherInstitute of Electrical and Electronics Engineers
Pages2377-2382
ISBN (Print)978-1-4673-1714-6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of
Duration: 14 Oct 201217 Oct 2012

Conference

Conference2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Abbreviated titleSMC 2012
CountryKorea, Republic of
CitySeoul
Period14/10/1217/10/12

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    Galzarano, S., Fortino, G., & Liotta, A. (2012). Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks. In Proceedings of the 2012 IEEE International Conference on Systems, Man, and Cybernetics (Seoul, Korea, October 14-17, 2012) (pp. 2377-2382). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSMC.2012.6378098