Evaluation of a MANET Testbed in Indoor Stairs Environment Considering OLSR Protocol

In this paper, we deal with evaluation of our MANET test bed in indoor stairs scenarios. We analyse the behavior of Optimized Link State Routing (OLSR), considering two metrics: throughput and delay. We implement two experimental scenarios: static and shifting. We draw conclusions regarding the comparison between two scenarios and between communications with different number of hops. From our experiments, we showed that for both scenarios, in one-hop and two-hop communications, OLSR shows a good performance. As the number of hops increases to three or more hops, the communication shows a worse performance. The performance decreases further when the nodes are mobile, i.e in shifting scenario, which shows that for three hops the communication becomes difficult.

[1]  Jason Liu,et al.  Outdoor experimental comparison of four ad hoc routing algorithms , 2004, MSWiM '04.

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

[3]  Leonard Barolli,et al.  Experimental Performance Evaluation of a Pro-Active Ad-hoc Routing Protocol in Out- and Indoor Scenarios , 2007, 21st International Conference on Advanced Information Networking and Applications (AINA '07).

[4]  Irfan-Ullah Awan,et al.  Performance evaluation of dynamic probabilistic flooding under different mobility models in MANETs , 2007, 2007 International Conference on Parallel and Distributed Systems.

[5]  Antonio Pescapè,et al.  Do you know what you are generating? , 2007, CoNEXT '07.

[6]  Robert Tappan Morris,et al.  a high-throughput path metric for multi-hop wireless routing , 2003, MobiCom '03.

[7]  Leonard Barolli,et al.  Performance Evaluation of a MANET Tested for Different Topologies , 2009, 2009 International Conference on Network-Based Information Systems.

[8]  Philippe Jacquet,et al.  Optimized Link State Routing Protocol (OLSR) , 2003, RFC.

[9]  Martin Mauve,et al.  A survey on real-world implementations of mobile ad-hoc networks , 2007, Ad Hoc Networks.

[10]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[11]  Christian F. Tschudin,et al.  Coping with communication gray zones in IEEE 802.11b based ad hoc networks , 2002, WOWMOM '02.

[12]  Leonard Barolli,et al.  Impact of Source and Destination Movement on MANET Performance Considering BATMAN and AODV Protocols , 2010, 2010 International Conference on Broadband, Wireless Computing, Communication and Applications.

[13]  Giuseppe Anastasi,et al.  IEEE 802.11 Ad Hoc Networks: Performance Measurements , 2003, ICDCS Workshops.

[14]  Erik Nordstrom APE - a Large Scale Ad Hoc Network Testbed for Reproducible Performance Tests , 2002 .

[15]  Jitendra Padhye,et al.  Comparison of routing metrics for static multi-hop wireless networks , 2004, SIGCOMM '04.

[16]  David A. Maltz,et al.  Lessons from a full-scale multihop wireless ad hoc network testbed , 2001, IEEE Wirel. Commun..

[17]  Irfan-Ullah Awan,et al.  Performance evaluation with different mobility models for dynamic probabilistic flooding in MANETs , 2009, Mob. Inf. Syst..

[18]  K. Mase,et al.  A large scale wireless mobile ad hoc network testbed , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[19]  Fatos Xhafa,et al.  Performance Analysis of OLSR and BATMAN Protocols Considering Link Quality Parameter , 2009, 2009 International Conference on Advanced Information Networking and Applications.

[20]  Robert Tappan Morris,et al.  Architecture and evaluation of an unplanned 802.11b mesh network , 2005, MobiCom '05.

[21]  Thomas Clausen,et al.  The Optimized Link State Routing Protocol: Evaluation through Experiments and Simulation , 2001 .

[22]  David Johnson,et al.  Comparison of two routing metrics in OLSR on a grid based mesh network , 2009, Ad Hoc Networks.