Optimizing ad-hoc on-demand distance vector (AODV) routing protocol using geographical location data

This thesis summarizes the body of research regarding location-aided routing protocols for mobile ad-hoc networks (MANET). This study focuses on the use of geographical location information to reduce the control traffic overhead caused by the route discovery process in the ad-hoc on-demand distance vector (AODV) routing protocol. During this process, AODV will flood the entire network with route request packets. This introduces significant packet-handling overhead into the network. This thesis introduces Geographical AODV (GeoAODV), which uses geographical location information to limit the search area during the route discovery process to include only promising search paths. Also, this thesis benchmarks GeoAODV's performance against Location Aided Routing (LAR) and examines four mechanisms for reducing the control-packet overhead introduced by the route discovery process: LAR Distance, LAR Zone, GeoAODV, and GeoAODV Rotate. OPNET Modeler version 16.0 was used to implement each of these mechanisms and compare their performance via network simulations. The results indicate that location-aided routing can significantly reduce the aforementioned control-packet overhead.

Name thesis:degree_name

M.S. Computer Science

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Year dc:date.available

2014

Author dc:creator

• Cocco, Remo

Contributors dc:contributor

• Hnatyshin, Vasil

• Routing protocols (Computer networks)
• Computer Sciences

Repository record dc:identifier

https://rdw.rowan.edu/etd/531

OAI identifier oai:identifier

oai:rdw.rowan.edu:etd-1530