@conference {4461,
	title = {Time Difference of Arrival Localization Study for SAR Systems over LoRaWAN},
	booktitle = {15th International Conference on Future Networks and Communications (FNC 2020)},
	year = {2020},
	abstract = {Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications{\textquoteright} use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm{\textquoteright}s prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases.},
	author = {Christos Bouras and Apostolos Gkamas and Vasileios Kokkinos and Nikolaos Papachristos}
}
