Random and realistic mobility models impact on the performance of bypass-AODV routing protocol

Due to lack of mass deployment of wireless ad hoc networks, simulation is the main tool to evaluate and compare different routing protocol proposals. Previous studies have shown that a certain routing protocol behaves differently under different presumed mobility patterns. Bypass-AODV is a new optimization of the AODV routing protocol for mobile ad-hoc networks. It is proposed as a local recovery mechanism to enhance the performance of AODV routing protocol. It shows outstanding performance under random waypoint mobility model compared with AODV. However, random waypoint is a simple model that may be applicable to some scenarios but it is not sufficient to capture some important mobility characteristics of scenarios where MANETs deployed. In this work, we would like to investigate the performance of Bypass-AODV under wide range of mobility models including other random mobility models, group mobility models and vehicular mobility models. Ns-2 simulation results show that bypass-AODV is insensitive to the selected random mobility model and it has a clear performance improvement compared to AODV. It shows a comparable performance under group mobility model compared to AODV. But, for vehicular mobility models, bypass-AODV is suffering from performance degradation at high speed conditions.

[1]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[2]  Xiaoyan Hong,et al.  A group mobility model for ad hoc wireless networks , 1999, MSWiM '99.

[3]  Charles E. Perkins,et al.  The Ad Hoc on-demand distance-vector protocol , 2001 .

[4]  Kevin C. Almeroth,et al.  Towards realistic mobility models for mobile ad hoc networks , 2003, MobiCom '03.

[5]  F.H.P. Fitzek,et al.  Impact of different mobility models on connectivity probability of a wireless ad hoc network , 2004, International Workshop on Wireless Ad-Hoc Networks, 2004..

[6]  Paolo Santi,et al.  A Statistical Analysis of the Long-Run Node Spatial Distribution in Mobile Ad Hoc Networks , 2002, MSWiM '02.

[7]  David A. Maltz,et al.  DSR: the dynamic source routing protocol for multihop wireless ad hoc networks , 2001 .

[8]  Ahmed Helmy,et al.  The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks , 2003, Ad Hoc Networks.

[9]  Uthman A. Baroudi,et al.  Bypass AODV: improving performance of ad hoc on-demand distance vector (AODV) routing protocol in wireless ad hoc networks , 2008, Ambi-Sys '08.

[10]  Louise E. Moser,et al.  An analysis of the optimum node density for ad hoc mobile networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[11]  Christian Wagner,et al.  The Spatial Node Distribution of the Random Waypoint Mobility Model , 2002, WMAN.