Bushfire disaster monitoring system using low power wide area networks (LPWAN) Kang, James and Adibi, Sasan 2017, Bushfire disaster monitoring system using low power wide area networks (LPWAN), MDPI technologies, vol. 5, no. 65, pp. 1-14, doi: 10.3390/technologies5040065. Attached Files Name Description MIMEType Size Downloads kang-bushfiredisaster-2017.pdf Published version application/pdf 1.09MB 34 Title Bushfire disaster monitoring system using low power wide area networks (LPWAN) Author(s) Kang, James orcid.org/0000-0002-0242-4187 Adibi, Sasan Journal name MDPI technologies Volume number 5 Issue number 65 Article ID 5040065 Start page 1 End page 14 Total pages 14 Publisher MDPI Place of publication Basel, Switzerland Publication date 2017-10-08 Keyword(s) Pseudo A Number (PAN) lower power wide area network (LPWAN) disaster recovery system machine to machine (M2M) interface disaster recovery assistance agency (DRA) calling party address Summary Some applications, including disaster monitoring and recovery networks, use low-powerwide-area networks (LPWAN). LPWAN sensors capture data bits and transmit them to public carriernetworks (e.g., cellular networks) via dedicated gateways. One of the challenges encountered indisaster management scenarios revolves around the carry/forward sensed data and geographicallocation information dissemination to the disaster relief operatives (disaster relief agency; DRA) toidentify, characterise, and prioritise the affected areas. There are network topology options to reachits destination, including cellular, circuit switched, and peer-to-peer networks. In the context ofnatural disaster prediction, it is vital to access geographical location data as well as the timestamp.This paper proposes the usage of Pseudo A Number (PAN), that is, the calling party address, which isused by every network to include the location information instead of the actual calling party addressof the gateway in LPWAN. This PAN information can be further analysed by the DRA to identify theaffected areas and predict the complications of the disaster impacts in addition to the past historyof damages. This paper aims to propose a solution that can predict disaster proceedings basedon propagation and the velocity of impact using vector calculation of the location data and thetimestamp, which are transmitted by sensors through the PAN of the gateway in LPWAN. Language eng DOI 10.3390/technologies5040065 Field of Research 100510 Wireless Communications HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2017, The Authors Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30103270 Document type: Journal Article Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Sat, 14 Oct 2017, 10:16:53 EST Sat, 14 Oct 2017, 10:18:13 EST Sun, 15 Oct 2017, 04:00:05 EST Mon, 16 Oct 2017, 07:28:24 EST Sat, 04 Nov 2017, 05:04:12 EST Wed, 08 Nov 2017, 13:30:44 EST Wed, 08 Nov 2017, 13:39:25 EST Wed, 08 Nov 2017, 13:40:24 EST Thu, 09 Nov 2017, 11:30:53 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 41 Abstract Views, 29 File Downloads  -  Detailed Statistics Created: Sat, 14 Oct 2017, 10:18:13 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.