Some applications, including disaster monitoring and recovery networks, use low-power
wide-area networks (LPWAN). LPWAN sensors capture data bits and transmit them to public carrier
networks (e.g., cellular networks) via dedicated gateways. 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 to reach
its destination, including cellular, circuit switched, and peer-to-peer networks. In the context of
natural 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 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 be further analysed by the DRA to identify the
affected areas and predict the complications of the disaster impacts in addition to the past history
of damages. This paper aims to propose a solution that can predict disaster proceedings based
on propagation and the velocity of impact using vector calculation of the location data and the
timestamp, which are transmitted by sensors through the PAN of the gateway in LPWAN.