Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014 2014
DOI: 10.1109/wowmom.2014.6918914
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Movement patterns for mobile networks in disaster scenarios

Abstract: Node mobility is one essential feature of mobile networks, especially for delay tolerant networks, where packet delivery is only possible through node movements. In mobile ad hoc networks, mobility adds new challenges to the protocol design. Therefore, realistic movement models are required to evaluate protocol performance. Usually, random node movement is considered for that but this kind of movement is not applicable for first responders in disaster scenarios. Their movements are driven by tactical mission r… Show more

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Cited by 11 publications
(3 citation statements)
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“…Realistic and synthetic mobility models for the scenarios described above are discussed in Refs. [ 1 , 9 ]. Most of these applications require an already planned route schedule, where the UAVs’ path is defined in advance.…”
Section: Background: Dtns and Issues In Fanetsmentioning
confidence: 99%
“…Realistic and synthetic mobility models for the scenarios described above are discussed in Refs. [ 1 , 9 ]. Most of these applications require an already planned route schedule, where the UAVs’ path is defined in advance.…”
Section: Background: Dtns and Issues In Fanetsmentioning
confidence: 99%
“…This model has been used multiple times to evaluate performance of mobile networks, e. g., [12,20]. [10] proposes a micro-movement pattern generation framework for [9] states the need for expert knowledge to create realistic scenarios. [25] is closest related to our work as they attempt to model a large-scale post-disaster scenario.…”
Section: Related Workmentioning
confidence: 99%
“…This model has been used multiple times to evaluate performance of mobile networks, e. g., [12,20]. [10] proposes a micro-movement pattern generation framework for search-and-rescue missions. [9] states the need for expert knowledge to create realistic scenarios.…”
Section: Related Workmentioning
confidence: 99%