A Reactive Location Routing Algorithm with Cluster-Based Flooding for Inter-Vehicle Communication
In this paper, we present a reactive location routing algorithm with cluster-based flooding for inter-vehicle communication. We consider a motorway environment with associated high mobility and compare position-based and non-position-based routing strategies, along with a limiting function for flooding mechanisms in reactive ad-hoc protocols. The performance of Dynamic Source Routing (DSR) and Ad-Hoc On-demand Distance Vector Routing (AODV) for non-positional and Location Routing Algorithm with Cluster-Based Flooding (LORA_CBF) for positional algorithms is considered. First, for small-scale networks, our research validates our proposed simulation model with the results of a test bed and the results of mathematical analysis. Then, for large-scale networks, we use simulations to compare our model with both the AODV and DSR reactive routing algorithms. Finally, we use a microscopic traffic model, developed in OPNET, to ascertain the mobility of 250 vehicles on a motorway with regards to average Route Discovery (RD) time, End-to-End Delay (EED), Routing Load, Routing Overhead, Overhead, and Delivery Ratio.
| Main Authors: | , |
|---|---|
| Format: | Digital revista |
| Language: | English |
| Published: |
Instituto Politécnico Nacional, Centro de Investigación en Computación
2006
|
| Online Access: | http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462006000200002 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | In this paper, we present a reactive location routing algorithm with cluster-based flooding for inter-vehicle communication. We consider a motorway environment with associated high mobility and compare position-based and non-position-based routing strategies, along with a limiting function for flooding mechanisms in reactive ad-hoc protocols. The performance of Dynamic Source Routing (DSR) and Ad-Hoc On-demand Distance Vector Routing (AODV) for non-positional and Location Routing Algorithm with Cluster-Based Flooding (LORA_CBF) for positional algorithms is considered. First, for small-scale networks, our research validates our proposed simulation model with the results of a test bed and the results of mathematical analysis. Then, for large-scale networks, we use simulations to compare our model with both the AODV and DSR reactive routing algorithms. Finally, we use a microscopic traffic model, developed in OPNET, to ascertain the mobility of 250 vehicles on a motorway with regards to average Route Discovery (RD) time, End-to-End Delay (EED), Routing Load, Routing Overhead, Overhead, and Delivery Ratio. |
|---|