Context aware data synchronisation during emergencies

Alireza Hassani, Pari Delir Haghighi, Frada Burstein, Scott Davey

Research output: Research - peer-reviewConference Paper

Abstract

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.

LanguageEnglish
Title of host publicationModeling and Using Context
Subtitle of host publication10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings
EditorsPatrick Brézillon, Carlo Penco, Roy Turner
Place of PublicationCham, Switzerland
PublisherSpringer
Pages406-417
Number of pages12
ISBN (Electronic)9783319578378
ISBN (Print)9783319578361
DOIs
StatePublished - Jun 2017
EventInternational and Interdisciplinary Conference on Modeling and Using Context - Paris, France
Duration: 20 Jun 201723 Jun 2017

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10257
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational and Interdisciplinary Conference on Modeling and Using Context
CountryFrance
CityParis
Period20/06/1723/06/17

Keywords

  • Context model
  • Context-aware computing
  • Data synchronisation

Cite this

Hassani, A., Delir Haghighi, P., Burstein, F., & Davey, S. (2017). Context aware data synchronisation during emergencies. In P. Brézillon, C. Penco, & R. Turner (Eds.), Modeling and Using Context: 10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings (pp. 406-417). (Lecture Notes in Computer Science ; Vol. 10257 ). Cham, Switzerland: Springer. DOI: 10.1007/978-3-319-57837-8_34
Hassani, Alireza ; Delir Haghighi, Pari ; Burstein, Frada ; Davey, Scott. / Context aware data synchronisation during emergencies. Modeling and Using Context: 10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings. editor / Patrick Brézillon ; Carlo Penco ; Roy Turner. Cham, Switzerland : Springer, 2017. pp. 406-417 (Lecture Notes in Computer Science ).
@inbook{59f63c1257044907aeda06f7867ca496,
title = "Context aware data synchronisation during emergencies",
abstract = "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.",
keywords = "Context model, Context-aware computing, Data synchronisation",
author = "Alireza Hassani and {Delir Haghighi}, Pari and Frada Burstein and Scott Davey",
year = "2017",
month = "6",
doi = "10.1007/978-3-319-57837-8_34",
isbn = "9783319578361",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "406--417",
editor = "Brézillon, {Patrick } and Penco, {Carlo } and Turner, {Roy }",
booktitle = "Modeling and Using Context",

}

Hassani, A, Delir Haghighi, P, Burstein, F & Davey, S 2017, Context aware data synchronisation during emergencies. in P Brézillon, C Penco & R Turner (eds), Modeling and Using Context: 10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings. Lecture Notes in Computer Science , vol. 10257 , Springer, Cham, Switzerland, pp. 406-417, International and Interdisciplinary Conference on Modeling and Using Context, Paris, France, 20/06/17. DOI: 10.1007/978-3-319-57837-8_34

Context aware data synchronisation during emergencies. / Hassani, Alireza; Delir Haghighi, Pari; Burstein, Frada; Davey, Scott.

Modeling and Using Context: 10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings. ed. / Patrick Brézillon; Carlo Penco; Roy Turner. Cham, Switzerland : Springer, 2017. p. 406-417 (Lecture Notes in Computer Science ; Vol. 10257 ).

Research output: Research - peer-reviewConference Paper

TY - CHAP

T1 - Context aware data synchronisation during emergencies

AU - Hassani,Alireza

AU - Delir Haghighi,Pari

AU - Burstein,Frada

AU - Davey,Scott

PY - 2017/6

Y1 - 2017/6

N2 - 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.

AB - 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.

KW - Context model

KW - Context-aware computing

KW - Data synchronisation

UR - http://www.scopus.com/inward/record.url?scp=85020907674&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-57837-8_34

DO - 10.1007/978-3-319-57837-8_34

M3 - Conference Paper

SN - 9783319578361

T3 - Lecture Notes in Computer Science

SP - 406

EP - 417

BT - Modeling and Using Context

PB - Springer

ER -

Hassani A, Delir Haghighi P, Burstein F, Davey S. Context aware data synchronisation during emergencies. In Brézillon P, Penco C, Turner R, editors, Modeling and Using Context: 10th International and Interdisciplinary Conference, CONTEXT 2017, Paris, France, June 20–23, 2017, Proceedings. Cham, Switzerland: Springer. 2017. p. 406-417. (Lecture Notes in Computer Science ). Available from, DOI: 10.1007/978-3-319-57837-8_34