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Adaptation of the breadth first search algorithm for cut-edge detection in wireless multihop networks
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems table of contents
Chania, Crete Island, Greece
SESSION: Multi-hop wireless networks table of contents
Pages: 377 - 386  
Year of Publication: 2007
ISBN:978-1-59593-851-0
Authors
Bratislav Milic  Humboldt Universität zu Berlin, Berlin, Germany
Miroslaw Malek  Humboldt Universität zu Berlin, Berlin, Germany
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

We extend the Breadth First Search (BFS) algorithm to use it for cut-edge(bridge) detection in graphs. The changes in the algorithm are tailored such that the algorithm can be applied in wireless multihop networks: e.g., it fully utilizes the broadcasting nature of the wireless medium. The distributed BFS algorithm (flooding) is widely used for route discovery and information dissemination in wireless multihop networks (WMNs) so the overhead introduced by our bridge detection algorithm is limited - the network is already performing the distributed BFS and we reuse the information from it to detect the bridges.

We verify our detection algorithm on the data sampled from Berlin's free multi-hop wireless network. Detection precision varies depending on the algorithm parameters but for the representative algorithm configurations it stabilizes around 75%. Analysis of the data samples indicated that due to unreliability of wireless links and frequent occurrence of bridges the route discovery mechanism cannot find the route between two nodes although a valid route exists. We use our bridge detection algorithm to improve the route discovery success ratio from about 47% to approximately 90% by utilizing unicast of route discovery messages over the bridges. We verified by using fault injection the robustness of our approach as precision and route discovery remained high even for frequent node failures in the network.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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B.A.T.M.A.N. (Better Approach To Mobile Ad-hoc Networking) routing protocol. https://www.open-mesh.net/batman.
 
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Berliner Freifunk-Community. http://olsrexperiment.de/.
 
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Tropos MetroMesh Proven: Metro-Scale Wi-Fi in Chaska, MN. Performance Whitepaper, 2005.
 
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T. Camp, J. Boleng, and L. Wilcox. Location information services in mobile ad hoc networks. volume 5, New York, USA, 2002.
 
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I. Chakeres and C. Perkins. Dynamic manet on-demand (DYMO) routing (IETF Draft). March 2007.
 
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D. Johnson, D. Maltz, and Y.-C. Hu. The dynamic source routing protocol for mobile ad hoc networks (RFC 4728). February 2007.
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B. Milic and M. Malek. Dropped edges and faces' size in gabriel and relative neighborhood graphs. In Proceedings of The Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2006), Vancouver, Canada, 2006.
 
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B. Milic and M. Malek. Analyzing large scale real-world wireless multihop network. Accepted for IEEE Communication Letters, 2007.
 
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R. Tarjan. Depth-first search and linear graph algorithms. SIAM Journal on Computing, 1:146--160, 1972.
 
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K. Wang and B. Li. Group mobility and partition prediction in wireless ad-hoc networks. In Proc. of IEEE International Conference on Communications (ICC 2002), New York, 2002.
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Collaborative Colleagues:
Bratislav Milic: colleagues
Miroslaw Malek: colleagues