Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25090
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Filiposka, Sonja | en_US |
dc.contributor.author | Trajanov, Dimitar | en_US |
dc.contributor.author | Vuckovik, Marija | en_US |
dc.date.accessioned | 2022-12-22T09:36:37Z | - |
dc.date.available | 2022-12-22T09:36:37Z | - |
dc.date.issued | 2009-03-02 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/25090 | - |
dc.description.abstract | Propagation prediction algorithms which use terrain information are typically used for the design of modern wireless systems. Therefore, it is essential that when analyzing the performances of ad hoc networks we observe the network in a natural 3D terrain and we use an appropriate propagation model. In this paper we explain our extension of the NS-2 simulator using Digital Elevation Model data and terrain aware propagation model. Because of the natural emergence of clustering in the network of users, we also study the relationship between the clustering in the ad hoc networks and different terrain profiles. The simulations show that, when the network clusters are accompanied with related terrain contours, the observed network performances demonstrate measurable enhancement. | en_US |
dc.publisher | ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) | en_US |
dc.subject | 3D terrain data, Durkin’s propagation model, ad hoc networks, clustering, performances | en_US |
dc.title | Performances of clustered ad hoc networks on 3D terrains | en_US |
dc.type | Proceedings | en_US |
dc.relation.conference | Proceedings of the 2nd International Conference on Simulation Tools and Techniques | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
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ICST.SIMUTOOLS2009.5577.pdf | 411.92 kB | Adobe PDF | View/Open |
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