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  • Titill er á ensku Developing a Mobility Model and Simulating Delay-Tolerant Networks for Natural Disasters in Iceland
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  • Útdráttur er á ensku

    Nowadays, sending messages using Cell Broadcast is a common way to send emergency warning messages to all nodes of a mobile phone network cell. However, these networks might not be as effective during natural disasters due to the limited network coverage in general and in particular due to network infrastructure being disrupted by disasters. Delay-Tolerant Network (DTN) is an unstructured, ad-hoc networking approach that can facilitate the communication where long delays or no permanent path between source and destination exists. The main motivation of such networks is to provide Device-to-Device (D2D) communication independently from any fixed network infrastructure. Message creation is done by participants in the network and information dissemination highly depends on the density and mobility of the nodes. This thesis aims to study the feasibility of utilizing DTN in order to address the communication disruptions during natural incidents in Iceland. This work is motivated by the Eyjafjallajökull eruption that happened in 2010. The main contribution of the thesis includes studying the road traffic data provided by road counters in order to create a mobility model as well as simulating the model in order to validate the feasibility of DTN with respect to the density and mobility pattern of the nodes. Simulations are performed using The Opportunistic Networks Environment (ONE) simulator. Simulation results show that using the Epidemic routing algorithm for message transmission can lead to even 100% message delivery while using the Spray routing algorithm can result in zero delivery probability. Results also show that using Wi-Fi for message transmission achieves higher delivery probabilities than using Bluetooth. In cases where a similar delivery probability was achieved by both interfaces, Wi-Fi proved to be faster at delivering the messages to their final destinations.

  • 4.10.2021

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Ilia_DTN_Thesis.pdf21.21 MBOpinnHeildartextiPDFSkoða/Opna
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