A disaster recovery system for location identification-based low power wide area networks (LPWAN)

Kang, JJ; Khodasevych, I; Adibi, S

A disaster recovery system for location identification-based low power wide area networks (LPWAN)

Kang, JJ Khodasevych, I

Adibi, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, 2017, 2017-January, pp. 1-6
Issue Date:: 2017-12-15

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Field	Value	Language
dc.contributor.author	Kang, JJ
dc.contributor.author	Khodasevych, I https://orcid.org/0000-0001-7901-0217
dc.contributor.author	Adibi, S
dc.date	2017-11-22
dc.date.accessioned	2022-02-28T00:06:19Z
dc.date.available	2022-02-28T00:06:19Z
dc.date.issued	2017-12-15
dc.identifier.citation	2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, 2017, 2017-January, pp. 1-6
dc.identifier.isbn	9781509067961
dc.identifier.uri	http://hdl.handle.net/10453/154897
dc.description.abstract	Low Power Wide Area Networks (LPWAN) are used in a number of applications, including disaster monitoring and recovery networks. LPWAN sensors capture data bits and transmit them via dedicated gateways, which are connected to public carrier networks (e.g., cellular networks). One of the challenges encountered in disaster management scenarios revolves around the carry/forward sensed data and geographical location information dissemination to the disaster relief operatives (Disaster Relief Agency; DRA) to identify, characterise, and prioritise the affected areas. There are network topology options, including cellular, circuit switched, and peer-to-peer networks to reach the destination. From the natural disaster predictions point of view, collecting geographical location data and timestamp is vital. This paper proposes the usage of Pseudo A Number (PAN), that is, the calling party address, which is used by every network to include the location information instead of the actual calling party address of the gateway in LPWAN. This PAN information can further be analysed by the DRA to identify the affected areas as well as to predict the complications of the disaster impacts in addition to the past history of the damages. This paper aims to propose a solution that can predict disaster advancement based on propagation and the velocity of impact using vector calculation of location data and timestamp, which are transmitted by sensors through PAN of gateway in LPWAN.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
dc.relation.ispartof	2017 27th International Telecommunication Networks and Applications Conference (ITNAC)
dc.relation.isbasedon	10.1109/ATNAC.2017.8215359
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	A disaster recovery system for location identification-based low power wide area networks (LPWAN)
dc.type	Conference Proceeding
utslib.citation.volume	2017-January
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-28T00:06:19Z
pubs.finish-date	2017-11-24
pubs.publication-status	Published
pubs.start-date	2017-11-22
pubs.volume	2017-January

Abstract:

Low Power Wide Area Networks (LPWAN) are used in a number of applications, including disaster monitoring and recovery networks. LPWAN sensors capture data bits and transmit them via dedicated gateways, which are connected to public carrier networks (e.g., cellular networks). One of the challenges encountered in disaster management scenarios revolves around the carry/forward sensed data and geographical location information dissemination to the disaster relief operatives (Disaster Relief Agency; DRA) to identify, characterise, and prioritise the affected areas. There are network topology options, including cellular, circuit switched, and peer-to-peer networks to reach the destination. From the natural disaster predictions point of view, collecting geographical location data and timestamp is vital. This paper proposes the usage of Pseudo A Number (PAN), that is, the calling party address, which is used by every network to include the location information instead of the actual calling party address of the gateway in LPWAN. This PAN information can further be analysed by the DRA to identify the affected areas as well as to predict the complications of the disaster impacts in addition to the past history of the damages. This paper aims to propose a solution that can predict disaster advancement based on propagation and the velocity of impact using vector calculation of location data and timestamp, which are transmitted by sensors through PAN of gateway in LPWAN.

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http://hdl.handle.net/10453/154897