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Information search in mobile opportunistic networks : extensions to seeker assisted search

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dc.date.accessioned 2014-10-27T10:12:05Z und
dc.date.accessioned 2017-10-24T12:23:54Z
dc.date.available 2014-10-27T10:12:05Z und
dc.date.available 2017-10-24T12:23:54Z
dc.date.issued 2014-10-27T10:12:05Z
dc.identifier.uri http://radr.hulib.helsinki.fi/handle/10138.1/4239 und
dc.identifier.uri http://hdl.handle.net/10138.1/4239
dc.title Information search in mobile opportunistic networks : extensions to seeker assisted search en
ethesis.department.URI http://data.hulib.helsinki.fi/id/225405e8-3362-4197-a7fd-6e7b79e52d14
ethesis.department Institutionen för datavetenskap sv
ethesis.department Department of Computer Science en
ethesis.department Tietojenkäsittelytieteen laitos fi
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty.URI http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca
ethesis.university.URI http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97
ethesis.university Helsingfors universitet sv
ethesis.university University of Helsinki en
ethesis.university Helsingin yliopisto fi
dct.creator Chen, Yiping
dct.issued 2014
dct.language.ISO639-2 eng
dct.abstract The purpose of this thesis is to elaborate how to implement Search-assisted Search (SAS) scheme on the ONE simulator and analyze whether it has better performance compared with other protocols (such as, Spray and Wait Routing Protocol). SAS is a search scheme that is designed for Delay- tolerant networks (DTN). The main characteristic of DTN is intermittent connectivity. There are two popular routing protocols, called Epidemic Routing Protocol and Spray and Wait Routing Protocol. Epidemic Routing Protocol is the one that floods an unlimited number of messages towards the desired destination. On the other hand, Spray and Wait Routing Protocol sprays a limited number of messages and delivers them to several nodes. When those nodes with a copy of the message encounter the desired destination, they will inform the one which initializes the search that the destination has been found. To improve search performance, SAS has several new properties: improvement of the number of contents' carriers and community. SAS contains the benefit of Spray and Wait scheme, which sprays a limited number of messages to the encountered nodes. This method accelerates the searching node to locate the content. However, only depending on spraying a number of messages is not enough. SAS increases the number of nodes carrying contents. Theoretically, this design improves the probability of locating the desired content. For making implementation of SAS on the ONE simulator easier, I involve a concept of geo-community. Geo-community represents the nodes having the similar interest are gathered together within geographical community. en
dct.language en
ethesis.language.URI http://data.hulib.helsinki.fi/id/languages/eng
ethesis.language English en
ethesis.language englanti fi
ethesis.language engelska sv
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype.URI http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis
ethesis.degreeprogram Networking and Service en
dct.identifier.urn URN:NBN:fi-fe2017112251002
dc.type.dcmitype Text

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