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

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.