Evaluation of Geocast Routing Trees on Random and Actual Networks - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Evaluation of Geocast Routing Trees on Random and Actual Networks

(1) , (1) , (1)
1
Bernd Meijerink
  • Function : Author
  • PersonId : 998241
Mitra Baratchi
  • Function : Author
  • PersonId : 998282
Geert Heijenk
  • Function : Author
  • PersonId : 950191

Abstract

Efficient geocast routing schemes are needed to transmit messages to mobile networked devices in geographically scoped areas. To design an efficient geocast routing algorithm a comprehensive evaluation of different routing tree approaches is needed. In this paper, we present an analytical study addressing the efficiency of possible routing trees for geocast packets. We evaluate the Shortest Path Tree, Minimum Spanning Tree and a Steiner Heuristic based routing tree for geocast packet distribution on real world networks and random graphs. We compare the results to those for multicast routing for which such evaluations have been performed in the past. Our results show that due to the correlation of geographic distance and network distance in most wired networks, Shortest Path forwarding efficiency can come close to an ideal Steiner Tree. We also identify a correlation between the forwarding efficiency and network characteristics such as the node degree and betweenness. This information could be useful in deciding on a choice of routing method or even help with network design.
Fichier principal
Vignette du fichier
453598_1_En_11_Chapter.pdf (789.56 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01675438 , version 1 (04-01-2018)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Bernd Meijerink, Mitra Baratchi, Geert Heijenk. Evaluation of Geocast Routing Trees on Random and Actual Networks. 15th International Conference on Wired/Wireless Internet Communication (WWIC), Jun 2017, St. Petersburg, Russia. pp.127-142, ⟨10.1007/978-3-319-61382-6_11⟩. ⟨hal-01675438⟩
120 View
67 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More