Modeling and evaluation of location-based forwarding in vehicular networks

Geert Heijenk; W. Klein Wolterink; Hans Leo van den Berg; Georgios Karagiannis

doi:10.1016/B978-1-78242-211-2.00008-8

Modeling and evaluation of location-based forwarding in vehicular networks

Geert Heijenk, W. Klein Wolterink, Hans Leo van den Berg, Georgios Karagiannis

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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Abstract

Location-based forwarding plays an important role in vehicular networks to dissem- inate messages in a certain region beyond the immediate transmission range of the originator. In this chapter, we introduce an analytical performance model that cap- tures the behaviour of location-based forwarding in great detail. We consider a one- dimensional scenario with exponentially distributed inter-node distances and a realis- tic radio propagation model. The model captures the complex correlations between consecutive hops and gives valuable insights regarding the forwarding process. The overall performance measures derived reveal the characteristic behaviour of location- based forwarding. For example, the end-to-end delay has a multi-modal nature, with each mode corresponding to a number of hops used to reach the destination.

Original language	Undefined
Title of host publication	Vehicular communications and networks - Architectures, protocols, operation and deployment
Editors	Wai Chen
Place of Publication	Cambridge, UK
Publisher	Woodhead Publishing
Pages	151-169
Number of pages	19
ISBN (Print)	978-1-78242-211-2
DOIs	https://doi.org/10.1016/B978-1-78242-211-2.00008-8
Publication status	Published - 2015

Publication series

Name
Publisher	Woodhead Publishing

Keywords

EWI-25969
IR-96990
METIS-312575

Access to Document

10.1016/B978-1-78242-211-2.00008-8

http://eprints.eemcs.utwente.nl/secure2/25969/01/chapter_18.pdf

Cite this

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title = "Modeling and evaluation of location-based forwarding in vehicular networks",

abstract = "Location-based forwarding plays an important role in vehicular networks to dissem- inate messages in a certain region beyond the immediate transmission range of the originator. In this chapter, we introduce an analytical performance model that cap- tures the behaviour of location-based forwarding in great detail. We consider a one- dimensional scenario with exponentially distributed inter-node distances and a realis- tic radio propagation model. The model captures the complex correlations between consecutive hops and gives valuable insights regarding the forwarding process. The overall performance measures derived reveal the characteristic behaviour of location- based forwarding. For example, the end-to-end delay has a multi-modal nature, with each mode corresponding to a number of hops used to reach the destination.",

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Modeling and evaluation of location-based forwarding in vehicular networks. / Heijenk, Geert; Klein Wolterink, W.; van den Berg, Hans Leo et al.
Vehicular communications and networks - Architectures, protocols, operation and deployment. ed. / Wai Chen. Cambridge, UK: Woodhead Publishing, 2015. p. 151-169.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Modeling and evaluation of location-based forwarding in vehicular networks

AU - Heijenk, Geert

AU - Klein Wolterink, W.

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AU - Karagiannis, Georgios

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AB - Location-based forwarding plays an important role in vehicular networks to dissem- inate messages in a certain region beyond the immediate transmission range of the originator. In this chapter, we introduce an analytical performance model that cap- tures the behaviour of location-based forwarding in great detail. We consider a one- dimensional scenario with exponentially distributed inter-node distances and a realis- tic radio propagation model. The model captures the complex correlations between consecutive hops and gives valuable insights regarding the forwarding process. The overall performance measures derived reveal the characteristic behaviour of location- based forwarding. For example, the end-to-end delay has a multi-modal nature, with each mode corresponding to a number of hops used to reach the destination.

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