Distressed Positioning System based on Long Range Module (LoRa)

Abstract

Several new wireless technologies have been proposed to provide Internet of Things (IoT) sensors with long-range communication. LoRa has been investigated for long-range performance among these. Although LoRa shows good performance for long-range transmission, its radio signals can be attenuated over distance and the signals may be interfered with by buildings, trees, and other radio signal sources. A natural disaster is a major adverse event that results from the Earth's natural processes. A natural disaster can result in loss of life or damage to property and typically leaves some economic damage in its wake, which depends on the resilience of the affected population (recovery capacity) and the available infrastructure. There are many methods for transmitting data through a widely dispersed internet network, but after the natural disaster, respondents need an efficient way to coordinate recovery efforts when access is lost. This paper creates a network of fast-deployed hotspots that can collect valuable information from vulnerable citizens. In this paper, a concentrator/gateway is designed using a LoRa module, Wi-Fi module, Raspberry Pi, and RF transceiver to handle large-scale public networks. A basic communication interface is created to achieve this.