Assessing the Expected Performance of the OLSR Routing Protocol for Denser Urban Core Ad Hoc Network Deployments

The wide-scale adoption of smart phones has begun to provide a pragmatic real-world deployment environments for mobile ad hoc networks, (i.e., as peer-to-peer game platforms, for emergency services, etc.). Such deployments are likely to occur with urban cores where device densities would easily exceed those that have traditionally been studied. Moreover, the quality of the resulting solutions will innately rest on the capabilities of the underlying routing protocols. Of current protocols, the OLSR proactive routing protocol makes the strongest arguments regarding its suitability to such larger, denser network environments. This work tests OLSR's true suitability by analyzing its performance within a 360-node network existing within a standard 1 km ×1.5 km communications area, (i.e., innately for a network with approximately 3 × the node densities typically studied). It is shown that OLSR largely fails for such denser networks, with these failure arising due to OLSR's underlying presumption that routing tables updates should occur relatively infrequently. This limitation within OLSR has not been previously reported and this work highlights the reasons why these issues were likely not observed within prior OLSR studies.

[1]  Consolee Mbarushimana,et al.  Comparative Study of Reactive and Proactive Routing Protocols Performance in Mobile Ad Hoc Networks , 2007, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07).

[2]  Per Johansson,et al.  Wireless ad hoc networking—The art of networking without a network , 2000 .

[3]  Alexander Klein Performance comparison and evaluation of AODV, OLSR, and SBR in mobile ad-hoc networks , 2008, 2008 3rd International Symposium on Wireless Pervasive Computing.

[4]  R. Bagrodia,et al.  Performance of mobile ad hoc networking routing protocols in large scale scenarios , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[5]  P. Peebles Probability, Random Variables and Random Signal Principles , 1993 .

[6]  P. Kuppusamy,et al.  A study and comparison of OLSR, AODV and TORA routing protocols in ad hoc networks , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[7]  Gregory A. Hansen,et al.  The Optimized Link State Routing Protocol , 2003 .

[8]  Nauman Mazhar,et al.  MANET routing protocols vs mobility models: A performance evaluation , 2011, 2011 Third International Conference on Ubiquitous and Future Networks (ICUFN).

[9]  B. Yu. Lemeshko,et al.  Comparative analysis of the power of goodness-of-fit tests for near competing hypotheses. II. Verification of complex hypotheses , 2009 .

[10]  Michael McGuire,et al.  Stationary distributions of random walk mobility models for wireless ad hoc networks , 2005, MobiHoc '05.

[11]  Saleem N. Bhatti,et al.  Tuning OLSR , 2006, 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications.

[12]  Todd R. Andel,et al.  On the credibility of manet simulations , 2006, Computer.

[13]  K. Iqbal,et al.  Performance evaluation of multiple routing protocols using multiple mobility models for mobile ad hoc networks , 2008, 2008 IEEE International Multitopic Conference.

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

[15]  Hossein Ashtiani,et al.  A Comprehensive Evaluation of Routing Protocols for Ordinary and Large-Scale Wireless MANETs , 2009, 2009 IEEE International Conference on Networking, Architecture, and Storage.

[16]  B. Yu. Lemeshko,et al.  Comparative analysis of the power of goodness-of-fit tests for near competing hypotheses. I. The verification of simple hypotheses , 2009 .

[17]  Mohamed Ould-Khaoua,et al.  Performance Analysis of MANET Routing Protocols in the Presence of Self-Similar Traffic , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[18]  Carles Gomez,et al.  Improving performance of a real ad-hoc network by tuning OLSR parameters , 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).

[19]  M.A. Rahman,et al.  The impact of data send rate, node velocity and transmission range on QoS parameters of OLSR and DYMO MANET routing protocols. , 2007, 2007 10th international conference on computer and information technology.

[20]  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).

[21]  Hamid Farrokhi,et al.  The impacts of network size on the performance of routing protocols in mobile ad-hoc networks , 2010, 2010 Second Pacific-Asia Conference on Circuits, Communications and System.

[22]  Peter E. Sholander,et al.  Experimental comparison of hybrid and proactive MANET routing protocols , 2002, MILCOM 2002. Proceedings.

[23]  Tracy Camp,et al.  MANET simulation studies: the incredibles , 2005, MOCO.

[24]  Deepali Arora,et al.  STARS: A Framework for Statistically Rigorous Simulation-Based Network Research , 2011, 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications.

[25]  J Nakasuwan,et al.  Performance comparison of AODV and OLSR for MANET , 2010, ICCAS 2010.