A fog computing approach for localization in WSN

Kriti Bhargava, Stepan Ivanov

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

The Fog Computing paradigm proposes an extension of the cloud-based computing to the network edges in the Internet of Things. It facilitates localized analysis closer to the data sources for improved responsiveness of the system as well as cloud-based learning for historical analysis. In this paper, we present our fog-enabled Wireless Sensor Network (WSN) system for activity monitoring and localization in the context of Ambient Assisted Living. Our WSN architecture consists of two types of devices - a wearable sensor device and a cloud gateway node. We discuss our Edge Mining approach for real-time activity classification on the sensor device as well as the Genetic Algorithm used for cloud-based analysis. The design of our analytical framework together with the communication model addresses the challenge of sensor-cloud integration. We evaluate the performance of our system for outdoor localization of the elderly. The analysis is based on acceleration data collected using our wearable device across different activity sequences obtained from the Kasteren dataset. © 2017 IEEE.
Original languageEnglish
Title of host publicationIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Print)9781538635315
DOIs
Publication statusPublished - 14 Feb 2018
Event28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications - Montreal, Canada
Duration: 8 Oct 201713 Oct 2017
http://pimrc2017.ieee-pimrc.org/

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2017-October

Conference

Conference28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications
Abbreviated titlePIMRC
CountryCanada
CityMontreal
Period8/10/1713/10/17
Internet address

Fingerprint Dive into the research topics of 'A fog computing approach for localization in WSN'. Together they form a unique fingerprint.

Cite this