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Low-cost mobile personal clouds

Radenkovic, Milena; Huynh, Vu San Ha

Authors

Vu San Ha Huynh eeyvsh@nottingham.ac.uk



Abstract

We propose a mobile peer to peer personal cloud architecture which allows users to capture, store, analyse, interact with and share different types of personal and context data with no privacy leakage. Our mobile personal cloud can host multiple different services which are intelligent, distributed, dynamic and operate in real time. In this paper we describe one service that we designed and deployed on our mobile personal cloud called Mobile Wellbeing Companion Cloud (MWCC). Using low-cost, off-the-shelf hardware components and open-source software, our MWCC combines several sensor network technologies to allow users to monitor and interact with their personal data and environment in real time without privacy leakage. MWCC augments heterogeneous sensors data with state of the art machine learning algorithms for signal filtering, fast classification and analysis and provides interactive data visualisation for transparent user interaction. We show that our MWCC is easy to use and highly accurate while managing to keep resource costs low.

Citation

Radenkovic, M., & Huynh, V. S. H. (2016). Low-cost mobile personal clouds. https://doi.org/10.1109/IWCMC.2016.7577166

Conference Name International Wireless Communications & Mobile Computing Conference (IWCMC 2016)
End Date Sep 9, 2016
Acceptance Date Apr 14, 2016
Publication Date Sep 29, 2016
Deposit Date Jun 23, 2016
Publicly Available Date Sep 29, 2016
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/IWCMC.2016.7577166
Keywords Opportunistic Disruption Tolerant Networks,
Mobile computing and applications
Public URL http://eprints.nottingham.ac.uk/id/eprint/34226
Related Public URLs http://iwcmc.org/2016/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information ©2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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IWCMC2016_1570252572.pdf (618 Kb)
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf


Mobile-Wellbeing-Companion-Cloud-master.zip (17.4 Mb)
Archive

Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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