10.11.2017 –
finished
TU Darmstadt & Software AG
Name of the participant: Patrick Lieser
High-tech countries are becoming increasingly dependent on intact information and communication technologies (ICTs). In the past, it has been shown that the failure of ICTs severely restricts the lives of the affected population, as information exchange via conventional communication channels, such as mobile telephony or the Internet, is no longer possible. The effects of an ICT failure are particularly high in the case of unforeseeable disasters and major incidents caused by natural forces, technical or human failure.
In the Project DisasterSense, a large-scale failure of the communication infrastructure is assumed. The affected population is no longer able to communicate via the cellular network or the Internet. Nevertheless, there is a great need for information exchange between the directly affected population and the collection of relevant information from outside the affected area. An alternative communication system independent of conventional infrastructure can be realized on the basis of smartphones. Such so-called ad-hoc networks enable the exchange of data between network participants who are within radio range.
The aim of the project is the development of procedures and mechanisms that allow the efficient collection and distribution of location based information in ad-hoc networks without being dependent on conventional communication infrastructures, e.g. information about the extent of the disaster affected area, intact and passable roads or special location data, which contain the location of so-called “Points of Interest” (POIs). Such POIs can be, for example, emergency accommodation or supply points. The distribution of the situation pictures within the infrastructure-free area as well as the distribution of the collected data outside the affected area will be investigated. The methods for situation picture collection developed in this project will be implemented and evaluated in a suitable simulation environment. The simulation environment thereby depicts a defined disaster situation and generates behavioral patterns of the individual smartphones in a network.
Software Campus partners: TU Darmstadt; Software AG
Implementation period: 01.03.2016 – 31.12.2017
