Context aware data synchronisation during emergencies
Version 2 2024-06-12, 15:01Version 2 2024-06-12, 15:01
Version 1 2019-06-26, 14:06Version 1 2019-06-26, 14:06
conference contribution
posted on 2024-06-12, 15:01 authored by A Hassani, PD Haghighi, F Burstein, S Davey© Springer International Publishing AG 2017. Today emergency management teams highly use internet-connected devices to improve the accuracy and immediacy of data collection and sharing. However, most cloud-based data synchronisation models rely on centralised components to share their data between users and do not support situations where the internet connection is unreliable or unavailable. This becomes particularly important when working in disaster-affected areas, where the internet infrastructure itself may be damaged but multiple, offline users are within close range of each other. Peer-to-peer data synchronisation can provide a great opportunity for performing data synchronisation locally between the mobile peers in an offline mode. However, it introduces new challenges in terms of conflict resolution, security and data consistency and integrity. In this paper, we propose a context-aware peer to peer data synchronisation framework for mobile environments when the internet becomes unavailable. The proposed approach introduces novel methods for peer discovery, user authentication and authorisation, as well as managing data versioning.
History
Volume
10257Pagination
406-417Location
Paris, FrancePublisher DOI
Start date
2017-06-20End date
2017-06-23ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319578361Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2017, Springer International Publishing AGEditor/Contributor(s)
Brézillon P, Turner R, Penco CTitle of proceedings
CONTEXT 2017 : Modeling and Using Context: Proceedings of the 10th International and Interdisciplinary ConferenceEvent
Modeling and Using Context. International and Interdisciplinary Conference (10th : 2017 : Paris, France)Publisher
SpringerPlace of publication
Cham, SwitzerlandSeries
Lecture Notes in Computer ScienceUsage metrics
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